🚀 Ultimate AI Agent Directory 2025

The most comprehensive collection of AI agent frameworks, platforms, tools, and resources

👨 Maintained by: AIwithApex.com

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🛠️ Open-Source Agent Frameworks

The backbone of AI agent development lies in these powerful open-source frameworks that enable developers to build sophisticated multi-agent systems and autonomous applications.

Framework	Repository	Description
Adala	🔗 GitHub	Open-source framework for building and evaluating autonomous data labeling agents. Enables creation of AI agents that can label, process, and improve data quality autonomously with feedback loops and continuous learning capabilities.
Agency Swarm	🔗 GitHub	A reliable agent framework built on top of OpenAI Assistants API for creating collaborative swarms of agents with distinct roles and capabilities. Agency Swarm provides customizable agent roles, full control over prompts, and type-safe tools with automatic validation and error correction.
AgentOS	🔗 GitHub	Experimental open-source platform for creating self-evolving autonomous AI agents capable of writing and executing their own code. Explores the frontier of autonomous agent development with self-modification and adaptation capabilities for research applications.
agents	🔗 GitHub	Open-source framework for developing autonomous language agents with long-short term memory, tool usage, and multi-agent communication. Features symbolic memory management and comprehensive agent coordination mechanisms for building sophisticated autonomous agent systems.
AgentScope	🔗 GitHub	Developer-centric multi-agent framework that fully embraces asynchronous execution and provides features for building complex, scalable agent applications. Offers distributed agent execution, flexible orchestration, and comprehensive debugging tools for developing production-grade multi-agent systems.
AgentVerse	🔗 GitHub	Framework designed to facilitate deployment of multiple LLM-based agents in task-solving and simulation applications. Enables building multi-agent environments for software development, social behavior research, and collaborative task completion with flexible agent coordination mechanisms.
AGiXT	🔗 GitHub	Dynamic platform for orchestrating AI agents across various providers with flexible agent and tool management. Features plugin architecture, support for multiple LLM providers, and comprehensive agent lifecycle management for building provider-agnostic agentic applications.
Agno	🔗 GitHub	Multi-agent framework, runtime and control plane built for speed, privacy, and scale. Provides primitives for building agents with persistent state, knowledge retrieval, memory management, and best-in-class Model Context Protocol (MCP) support for enterprise-ready agent applications.
ai-town	🔗 GitHub	Starter kit for building and customizing virtual towns populated with AI agents that can socialize and interact. Built on the Convex platform, provides foundation for creating simulated social environments with autonomous agents for research and entertainment applications.
AppAgent	🔗 GitHub	Multimodal LLM agent designed to operate smartphone applications by interpreting UI elements and user commands. Enables automation of mobile app interactions through visual understanding and action execution for mobile application testing and automation.
Atomic Agents	🔗 GitHub	A modular, lightweight framework designed to simplify the creation of multi-agent systems. Atomic Agents focuses on the Input-Process-Output model and atomicity principles, offering developers complete control over agent behaviors and system architecture without unnecessary complexity.
AutoChain	🔗 GitHub	Lightweight open-source framework for building extensible and testable LLM agents with minimal dependencies. Emphasizes simplicity and testability, providing clean abstractions for building production-ready agents without unnecessary complexity or framework lock-in.
AutoGen	🔗 GitHub	Microsoft's open-source framework for creating multi-agent AI applications that can act autonomously or work alongside humans. AutoGen emphasizes conversational agents and multi-agent collaboration, enabling agents to generate, fix, and run code while facilitating cooperation among multiple agents to solve complex tasks.
ChatArena	🔗 GitHub	Library for multi-agent language game environments used by researchers to study social interaction and collaborative task-solving among LLM agents. Provides standardized environments for evaluating multi-agent communication, cooperation, and competition in conversational settings.
CrewAI	🔗 GitHub	A lean, standalone framework for orchestrating role-playing, autonomous AI agents in collaborative teams. CrewAI allows developers to create specialized agents with distinct roles and goals, optimized for speed and performance while being completely independent of other agent frameworks.
DeepPavlov	🔗 GitHub	Open-source framework for building multilingual conversational AI agents and complex dialogue systems. Offers pre-trained models for NER, sentiment analysis, question answering, and dialogue management, with support for 20+ languages and production-ready conversational AI capabilities.
FastChat	🔗 GitHub	Platform for training, serving, and evaluating large language model-based chatbots with distributed multi-model system support. Features Chatbot Arena for LLM evaluation, model serving infrastructure, and tools for fine-tuning and deploying conversational AI systems.
generative_agents	🔗 GitHub	Original simulation framework from Stanford/Google research demonstrating interactive, human-like social behavior in AI agents. Implements the groundbreaking Generative Agents paper, showcasing believable human-agent interactions in simulated environments for social simulation research.
Griptape	🔗 GitHub	Modular open-source Python framework for developing AI agent applications with focus on reliability and security. Offers clean abstractions to build agents, systems of agents, pipelines, workflows, and RAG setups with off-prompt business logic definition, memory management, and integration with data sources for production-ready solutions.
Haystack	🔗 GitHub	An open-source AI orchestration framework by deepset for building production-ready LLM applications, retrieval-augmented generation (RAG) pipelines, and intelligent search systems. Haystack provides modular components for connecting models, vector databases, and file converters into customizable pipelines for working with large document collections.
Hector	🔗 GitHub	Declarative platform for building Agent-to-Agent (A2A) native AI agents with focus on inter-agent communication. Enables creation of agent ecosystems where agents communicate and collaborate using declarative configuration and standardized protocols.
Hugging Face Transformers Agents	🔗 Link	Agent library built into the Hugging Face Transformers ecosystem that allows LLMs to use tools and autonomously execute tasks. Provides seamless integration with Hugging Face models and tools, enabling developers to build agentic applications within the Transformers framework with minimal setup.
JADE	🔗 Link	Foundational Java-based multi-agent framework for building FIPA-compliant systems with ACL messaging, agent discovery, and distributed execution. Provides robust infrastructure for industrial and research agent applications with GUI-based debugging tools and support for distributed agent deployment across networks.
Jan	🔗 GitHub	Open-source ChatGPT alternative that operates fully offline on diverse hardware from PCs to multi-GPU clusters. Provides desktop application for running LLMs locally with user-friendly interface, supporting various open-source models for privacy-conscious AI interactions.
KaibanJS	🔗 GitHub	JavaScript framework for multi-agent systems using a Kanban board approach for task management and agent coordination. Brings visual task management paradigm to multi-agent orchestration, enabling intuitive workflow design for JavaScript-based agent applications.
LangChain	🔗 GitHub	A foundational framework for building context-aware reasoning applications powered by large language models. LangChain provides modular components for chaining prompts, integrating external tools, and managing conversational memory, making it suitable for production-grade LLM applications and autonomous agents.
LangGraph	🔗 GitHub	A specialized framework within the LangChain ecosystem for building controllable, stateful agents using graph-based execution. LangGraph enables complex multi-step workflows with persistent memory and human-in-the-loop capabilities, trusted by companies like Klarna, Uber, and GitLab.
LlamaIndex	🔗 GitHub	A data framework for building LLM applications that specializes in connecting large language models to external data sources. LlamaIndex provides tools for data ingestion, indexing, and retrieval, with over 300 integrations supporting various LLMs, embedding models, and vector stores for RAG applications.
LLMling-Agent	🔗 GitHub	Multi-agent workflow tool with YAML and programmatic support, including human-in-the-loop capabilities. Enables declarative agent workflow definition with configuration-driven approach for building complex multi-agent systems.
Mastra	🔗 GitHub	TypeScript framework designed for rapid development of AI applications and agentic features. Provides type-safe agent development with modern TypeScript tooling, enabling fast iteration and production deployment of TypeScript-based agentic systems.
Mesa	🔗 Link	Popular Python library for agent-based modeling and simulation, widely used in social science, economics, and supply chain research. Ideal for modeling agent interactions in grid-based or network environments with built-in visualization tools to track agent behaviors and emergent system properties.
MetaGPT	🔗 GitHub	A research framework that simulates the structure of a software development team with agents acting as CEO, project manager, and developers. MetaGPT orchestrates these roles to automate software development workflows with minimal human oversight, ideal for autonomous software development pipeline research.
modelscope-agent	🔗 GitHub	Agent framework connecting ModelScope's open-source models to real-world applications. Provides integration layer for leveraging ModelScope's model ecosystem in agentic applications with pre-built tools and model connectors.
Ollama	🔗 GitHub	Popular tool for running large language models (Llama 3, Mistral, Gemma, etc.) locally with simplified setup and customization. Supports macOS, Windows, and Linux with easy model management, REST API, and integration with development tools for local LLM deployment.
Open Interpreter	🔗 GitHub	Open-source coding agent that enables language models to execute code (Python, JavaScript, Shell, etc.) locally on a user's computer. Provides natural language interface for code execution, file manipulation, and system operations, functioning as a local alternative to ChatGPT's Code Interpreter.
OpenAgents	🔗 GitHub	An open research platform for language agents that aims to democratize agent development for researchers and practitioners. OpenAgents provides a comprehensive framework for building and evaluating language agents with multiple capabilities and interaction patterns.
OpenAGI	🔗 GitHub	Framework that combines LLMs with domain-specific expert models to solve advanced tasks through collaborative intelligence. Enables agents to leverage specialized models for complex problem-solving, bridging general language understanding with domain-specific expertise for enhanced task performance.
OpenAI Swarm	🔗 GitHub	Lightweight, experimental open-source framework from OpenAI for multi-agent orchestration and coordination. Explores agent routines and handoffs for simple multi-agent coordination patterns using OpenAI's Chat Completions API, designed for educational purposes and research into agent interaction patterns.
PADE	🔗 GitHub	Python-based framework for multi-agent system development, execution, and management with 100% Python implementation. Features network-based communication for distributed computation, commonly used in academic and industrial IoT applications for building distributed multi-agent systems.
Phidata	🔗 GitHub	Framework for building AI agents with memory, tools, and production scalability. Enables developers to create autonomous assistants using Pythonic object-oriented principles, featuring structured outputs, knowledge bases, and seamless integration with popular LLM providers for building production-ready agentic systems.
PrivateGPT	🔗 GitHub	Open-source tool for querying documents using LLMs in a secure, offline-capable environment ensuring complete data privacy. Enables users to interact with their documents using AI without internet connectivity, keeping all data local and secure for privacy-sensitive applications.
Pydantic AI	🔗 GitHub	A Python agent framework that brings Pydantic's famous type safety and ergonomic developer experience to AI agent development. Pydantic AI focuses on providing type-safe, well-structured agent development with automatic validation and error handling.
Rasa	🔗 Link	Open-source conversational AI framework with robust NLU and dialogue management capabilities, trusted by enterprises for building production-ready conversational agents. With over 50 million downloads, Rasa provides tools for building on-premise, production-ready conversational agents across text and voice with full control over data and infrastructure.
Ray	🔗 Link	Python framework for distributed computing that excels in multi-agent reinforcement learning and real-time decision systems. Scales agents across clusters using actor model for parallel execution, critical for training and deploying sophisticated multi-agent reinforcement learning applications in production environments.
RestGPT	🔗 GitHub	LLM-based agent designed to control real-world applications by interacting with RESTful APIs. Enables agents to interact with web services and APIs for practical task execution, bridging LLM capabilities with real-world application integration.
Semantic Kernel	🔗 GitHub	Microsoft's open-source SDK for integrating AI Large Language Models with conventional programming languages including C#, Python, and Java. Semantic Kernel serves as middleware that enables rapid delivery of enterprise-grade AI solutions with built-in planning capabilities and seamless integration with existing business systems.
Smolagents	🔗 GitHub	A Hugging Face framework for building AI agents that integrates seamlessly with the Hugging Face ecosystem. Smolagents provides tools for creating intelligent agents capable of data retrieval, summarization, and code execution, with strong community engagement and regular updates.
Strands Agents SDK	🔗 GitHub	AWS's toolkit for building AI agents that integrate with Amazon Bedrock and other AWS services. The SDK focuses on production readiness with first-class OpenTelemetry tracing and native AWS integrations, designed for enterprise-grade agent development in cloud environments.
Streamship	🔗 GitHub	Open-source development platform for AI Agents offering Python SDK, cloud deployment, serverless hosting, and vector search. Provides complete infrastructure for building, deploying, and scaling AI agents with managed services and developer-friendly APIs.
Swarms	🔗 GitHub	Enterprise-grade open-source framework designed for scaling hierarchical swarms of AI agents in production environments. Provides tools for building and managing large-scale multi-agent systems with hierarchical coordination, task distribution, and centralized monitoring for production deployments.
Tabby	🔗 GitHub	Open-source, self-hosted AI coding assistant similar to GitHub Copilot with self-contained setup and OpenAPI integration. Provides code completion, RAG-based code chat, and IDE integration for building private coding assistants with full data control.
Upsonic	🔗 GitHub	Reliable agent framework featuring Model Context Protocol (MCP) support and verification layers for robust execution. Emphasizes reliability and correctness in agent operations with built-in verification mechanisms and error handling.

Core Frameworks

Framework	Repository	Description
AutoGen	🔗 GitHub	Microsoft's open-source framework for building multi-agent conversational systems. AutoGen enables the creation of LLM applications using multiple agents that can converse with each other to solve tasks, with support for human feedback and code execution.

CrewAI	🔗 GitHub	Framework for orchestrating role-playing, autonomous AI agents. CrewAI enables agents to work together, taking on roles and collaborating to complete complex tasks with a focus on team-based AI workflows and task delegation.

LangChain	🔗 GitHub	A foundational framework for building context-aware reasoning applications powered by large language models. LangChain provides modular components for chaining prompts, integrating external tools, and managing conversational memory, making it suitable for production-grade LLM applications and autonomous agents.

🎨 No-Code/Low-Code Agent Platforms

Visual and low-code platforms that make AI agent development accessible to non-programmers and enable rapid prototyping for developers.

Framework	Repository	Description
Activepieces	🔗 Link	An open-source automation platform that serves as an alternative to Zapier with AI-powered workflow capabilities and over 280+ pieces (integrations). Activepieces offers both self-hosted and cloud options, features a TypeScript-based framework for custom integrations, and provides extensive MCP (Model Context Protocol) support for AI agents.
Agentive	🔗 Link	A platform designed for AI Automation Agency owners to create, manage, and deploy custom AI solutions. Agentive provides model selection, tool integration, versioning, and deployment management for building client-focused AI agent solutions.
AgentLabs	🔗 GitHub	An open-source universal frontend solution for AI agents providing authentication portal, chat interface, analytics, and payment features. AgentLabs streamlines agent deployment by offering a complete user-facing platform with built-in monetization and usage tracking capabilities.
Botpress	🔗 Link	An all-in-one platform for building AI agents powered by the latest LLMs, featuring a custom inference engine called LLMz. Botpress provides enterprise-grade conversational AI capabilities with visual workflow design, extensive integrations, and support for complex multi-step logic execution in isolated runtime environments.
Bubble	🔗 Link	A comprehensive no-code platform for building web applications that has integrated AI capabilities for enhanced functionality. Bubble allows users to create full-stack applications with AI features, offering database management, workflow automation, and the ability to integrate with AI services like OpenAI and Voiceflow.
Budibase	🔗 Link	An open-source low-code platform for building internal applications and tools, offering drag-and-drop UI design with AI-powered workflow capabilities. Budibase enables rapid development of business applications with database connectivity, API integrations, and custom scripting for AI-enhanced internal tools.
BuildShip	🔗 Link	A visual low-code backend builder that enables users to create powerful APIs, scheduled jobs, and AI workflows without extensive coding knowledge. BuildShip features AI-powered node generation, multimodal flows with various AI models, and seamless integration with popular services, making backend development accessible to all skill levels.
buildthatidea.com	🔗 Link	A no-code AI agent builder designed for non-technical users to create custom AI agents quickly. buildthatidea.com focuses on simplicity and rapid deployment for business automation use cases.
Chatbase	🔗 Link	A popular no-code platform for building AI chatbots from custom data sources, functioning as specialized agent builder for support and Q&A. Chatbase enables businesses to create knowledge-based conversational agents trained on their own documents and data.
Dify	🔗 Link	An open-source LLM app development platform that combines agentic AI workflow, RAG pipeline, and agent capabilities with model management and observability features. Dify offers a comprehensive solution for building production-ready AI applications with visual workflow design, extensive model support, and built-in debugging tools.
Flowise	🔗 Link	An open-source low-code platform for building LLM applications with a drag-and-drop interface. Flowise provides modular building blocks for creating agentic systems, from simple compositional workflows to autonomous agents, with support for multi-agent systems, chat assistants, and human-in-the-loop workflows.
Flowise	🔗 GitHub	Open-source, drag-and-drop visual UI for building customized LLM orchestration flows and AI agents. Flowise provides a low-code interface for creating complex agent workflows with extensive integrations for vector databases, LLM providers, and external tools.

Giselle	🔗 GitHub	An agentic workflow builder designed to simplify the creation of AI-driven solutions with visual interface and low-code approach. Giselle focuses on ease of use for building and deploying agent-based automation workflows.
Gumloop	🔗 Link	A no-code platform for creating AI-powered workflow automations using visual node-based flows with 100+ pre-built nodes. Gumloop combines AI integrations for data enrichment, reporting, and intelligent decision-making, enabling users to build complex automated processes without programming knowledge.
Langflow	🔗 Link	A low-code AI builder for agentic and retrieval-augmented generation (RAG) applications that allows coding in Python while using any LLM or vector database. Langflow provides an intuitive visual interface for building complex AI workflows, recently acquired by DataStax and positioned for integration with IBM's ecosystem.
leap.new	🔗 Link	A low-code AI agent builder that supports the creation of real backend systems beyond simple automations. leap.new enables users to build production-grade AI applications with database integration and API capabilities.
Lindy.ai	🔗 Link	A no-code AI agent builder for creating autonomous AI employees without coding, integrating with 200+ apps and offering 100+ pre-built templates. Lindy.ai enables businesses to automate sales, support, HR, and operations workflows with intelligent agents that can handle complex multi-step tasks autonomously.
LiveChatAI	🔗 Link	An end-to-end AI support platform with no-code visual builder designed for small and mid-sized businesses. LiveChatAI enables companies to launch working customer support agents in minutes with pre-built templates and integrations.
Lobe Chat	🔗 GitHub	An open-source high-performance UI framework for building LLM-based chat applications with multi-modal support, extensible plugins, and one-click deployment. Lobe Chat provides a modern interface for AI conversations with support for images, voice, and custom agent configurations.
LowCo.AI	🔗 Link	A low-code automation platform for building and orchestrating AI agents and workflows visually with real-time monitoring and environment management. LowCo.AI provides enterprise-grade security with compliance controls and supports multi-agent collaboration in production environments.
Make.com	🔗 Link	A visual workflow automation platform that has enhanced its capabilities with AI integrations for creating complex automated processes. Make.com provides a more visual approach to building workflows compared to traditional automation tools, with robust AI integration options and support for complex multi-step automations.
MindStudio	🔗 Link	A no-code platform for building and deploying AI agents and applications with visual development tools. MindStudio enables rapid prototyping and deployment of AI-powered solutions without requiring programming expertise.
n8n	🔗 Link	A powerful, agentic workflow automation platform designed for technical teams with both code and no-code flexibility. Features AI-native automation with LangChain integration, visual drag-and-drop workflow builder, 400+ integrations, and autonomous AI agents that can process data, make decisions, and trigger actions. Supports self-hosting with fair-code licensing (not pure open-source) and enterprise-ready features including SSO, advanced permissions, and air-gapped deployments.
Parabola	🔗 Link	A visual data and workflow automation platform for building AI-driven processes and internal tools without coding. Parabola specializes in data transformation, API connections, and automated workflows with intuitive drag-and-drop interface.
Pipedream	🔗 Link	A developer-focused workflow automation platform for building and orchestrating complex agentic workflows with scripting capabilities. Pipedream combines low-code visual builder with full code flexibility, supporting thousands of API integrations and event-driven automation.
Relay.app	🔗 Link	A user-friendly AI agent builder with human-in-the-loop capabilities and drag-and-drop interface featuring 200+ pre-built actions. Relay.app includes extraction, translation, and text-to-speech capabilities for streamlining both simple and complex business processes with AI automation.
Retool	🔗 Link	A low-code platform for building internal tools and applications with integrated AI capabilities for creating agent-like workflows. Retool provides drag-and-drop UI components, database connections, and AI integrations for rapid development of business applications.
Rivet	🔗 GitHub	An open-source visual AI programming environment and IDE from Ironclad Research for creating, debugging, and collaborating on complex AI agent pipelines and prompt chains. Rivet provides a node-based interface for building sophisticated agent workflows with real-time debugging and version control capabilities.
Stack AI	🔗 Link	A low-code, web-based platform for building AI systems with highly customizable document processing and data integration capabilities. Stack AI offers easy API access, supports multiple foundation models (GPT-4, Claude, Hugging Face), and provides tools for image generation and processing alongside text-based AI applications.
superagent	🔗 GitHub	An open-source framework for constructing AI assistants and agents with custom tools and capabilities, offered both as open-source and managed service. superagent provides modular architecture for building production-ready AI agents with tool integration and workflow orchestration.
Taskade AI	🔗 Link	An AI-powered productivity suite that functions as an intelligent agent for tasks, project management, notes, and mind maps. Taskade AI combines collaboration features with AI automation to enhance team productivity and workflow management.
Vellum AI	🔗 Link	A collaborative enterprise platform for building, testing, and deploying AI agents with a unified visual builder and SDK. Vellum provides built-in evaluation sets, version control, full observability with tracing and logging, RBAC governance, audit trails, and flexible cloud or on-premises deployment for cross-functional teams building production-ready agent workflows.
Voiceflow	🔗 Link	A comprehensive platform for building, managing, and deploying AI agents to automate customer experiences, specializing in voice assistants and chatbots. Voiceflow offers drag-and-drop workflow building, multi-LLM support, and integrations with popular platforms like Zapier, Make, and various messaging channels.
Wordware	🔗 Link	A web-hosted IDE for collaborative AI agent development that treats prompts as a programming language. Wordware enables teams to build complex multi-step agentic workflows with a unique approach that bridges natural language and code-based development.
Zapier AI	🔗 Link	The leading automation platform that has integrated AI capabilities for building and scaling AI workflows across 8,000+ apps. Zapier AI enables users to create AI-powered automation workflows, connect various AI services, and build sophisticated agent systems without coding, trusted by over 3 million businesses.

🔬 Research-Focused Agent Frameworks

Academic and research-oriented frameworks from leading institutions like Google Research, Stanford, and UC Berkeley, advancing the state-of-the-art in agent systems.

Framework	Repository	Description
Agent4Rec	🔗 GitHub	A recommender system simulator that utilizes 1,000 LLM-empowered generative agents for research into recommendation systems. Agent4Rec provides a comprehensive research environment for studying agent-based recommendation algorithms and user behavior modeling.
AI Co-Scientist	🔗 Link	A multi-agent AI system built with Gemini 2.0 designed to function as a virtual scientific collaborator. AI Co-Scientist uses specialized agents (Generation, Reflection, Ranking, Evolution, Proximity, and Meta-review) to generate novel research hypotheses, conduct literature reviews, and formulate research proposals with automated feedback loops.
CAMEL	🔗 GitHub	A research framework that introduces agents that role-play to solve tasks collaboratively through conversational dynamics. CAMEL enables agents to take different roles (user, assistant) and drive problem-solving through dialogue, with implications for training, simulations, and AI alignment research.
HAAS	🔗 GitHub	A groundbreaking research initiative that leverages advanced agent-based APIs to create self-organizing, ethically governed ecosystems of AI agents. HAAS features hierarchical control mechanisms with specialized roles including Supreme Oversight Board and Executive Agents for autonomous system governance.
Scite Assistant	🔗 Link	A research assistant that uses AI to analyze citation statements and help researchers better discover, evaluate, and understand research. Scite Assistant employs deep learning techniques to extract and classify citations based on their intent, supporting comprehensive literature reviews and combating reproducibility challenges.
Web of Science Research Assistant	🔗 Link	An AI-powered research tool that integrates with Clarivate's Academic AI Platform to provide literature review assistance, research analytics, and metadata analysis. The platform uses curated academic data and serves over 3,000 institutions with AI agents designed for academic workflows.

📚 Learning Resources and Courses

Educational materials, courses, and learning platforms for mastering AI agent development, from beginner tutorials to advanced implementation guides.

Framework	Repository	Description
Hugging Face AI Agent Course	🔗 Link	Comprehensive free course covering beginner to expert level AI agent development. Uses smolagents, LlamaIndex, and LangGraph frameworks. Includes hands-on challenges and community competitions with certificates.

| | Mastering AI Agents (Udemy) | 🔗 Link | Comprehensive paid course covering CrewAI, AutoGen, AutoGPT, and other agent frameworks. No programming knowledge required, suitable for beginners to advanced learners. | | Microsoft AI Agents on Azure | 🔗 Link | Covers developing and deploying AI agents on Microsoft Azure platform. Official Microsoft training for enterprise-grade agent development and deployment. | | Multi AI Agent Systems with crewAI | 🔗 Link | Free course by João Moura (CrewAI founder/CEO) covering role-playing agents, memory management, tools integration, guardrails, cooperation patterns, and hands-on projects | | Salesforce Trailhead AI Agents | 🔗 Link | Free courses on building AI agents with Salesforce's Agentforce platform. Covers agentic AI fundamentals and practical applications for enterprise environments. | | Scrimba ReAct Prompting Course | 🔗 Link | Focuses on ReAct (Reasoning + Acting) prompting techniques for building responsive AI agents. Includes hands-on coding exercises for practical learning. |

👥 GitHub Repositories and Communities

Curated awesome lists, active communities, and collaborative spaces where developers share knowledge, code, and best practices for AI agent development.

Framework	Repository	Description
Agentic AI Market Map	🔗 Link	Comprehensive market map and analysis of the agentic AI ecosystem from Adspyder, breaking down key categories including frameworks, execution tools, platforms, and market segments.
AI Agency Hub	🔗 Link	Community focused on AI agents, prompt engineering, and automation. Over 12,000 members.
AI Agents Landscape	🔗 Link	Interactive visual ecosystem map of AI agents, tools, and assistants providing a comprehensive guide to the 2025 agent landscape with categorization and discovery features.
ai-agents-directory	🔗 GitHub	GitHub topic page that curates open-source and proprietary AI agents with regular updates from the community.
awesome-ai-agents	🔗 GitHub	Comprehensive curated list of over 300 agentic AI resources including tools, frameworks, and platforms with a unique focus on practical implementations.
awesome-langchain	🔗 GitHub	Curated list of tools, projects, and resources that extend and build upon the LangChain framework ecosystem.
awesome-llm-apps	🔗 GitHub	Collection of LLM applications with AI agents, RAG, and multi-agent systems using various providers.
awesome-workflow-automation	🔗 GitHub	Curated list of workflow automation software, engines, and tools including many agentic frameworks like n8n and Activepieces.
CrewAI Community	🔗 Link	Official CrewAI Discord server for framework support, project sharing, and collaboration.
Hugging Face	🔗 Link	Community for machine learning practitioners, with channels for AI agents, model discussions, and project feedback.
Learn AI Together	🔗 Link	Largest AI community on Discord (acquired by Towards AI). Features AI agent discussions, learning resources, and collaborative projects.
LLM-Agent-Benchmark-List	🔗 GitHub	Curated list of benchmarks and evaluation platforms specifically for assessing the performance and capabilities of LLM-based agents.
OpenAI Discord	🔗 Link	Official OpenAI community for discussing latest AI research, ChatGPT, and AI agent developments.
r/artificial	🔗 Link	Largest AI subreddit with agent news and discussions, with 167k+ members
r/AutoGen	🔗 Link	Dedicated Microsoft AutoGen framework community with growing membership
r/LocalLLaMA	🔗 Link	Local LLM deployment and agent development community with 167k+ members
r/MachineLearning	🔗 Link	Academic and research-focused multi-agent systems community with 2.8M+ members
r/singularity	🔗 Link	Technological singularity, AI agents, and future AI community with 2M+ members

🎯 Specialized AI Agent Tools

Domain-specific agent tools designed for particular use cases like customer service, sales, marketing, data analysis, security, and DevOps automation.

Framework	Repository	Description
Ad Context Protocol	🔗 Link	Open-source technical standard developed by a coalition including Scope3, Yahoo, and PubMatic, designed to allow AI agents from advertisers, publishers, and ad tech platforms to communicate and autonomously execute advertising tasks.
Adobe AI Assistant	🔗 Link	Agentic AI assistant integrated into Adobe Express that allows users to create and edit designs through natural, conversational language, aimed at non-design professionals.
Adopt AI	🔗 Link	Enterprise tool integration platform designed to connect AI agents with business applications and workflows. Provides secure, managed connections between agents and enterprise systems with authentication handling, compliance controls, and centralized tool management for production deployments.
agbenchmark	🔗 GitHub	Official benchmark framework from the AutoGPT project for evaluating autonomous agent performance across diverse tasks. Provides standardized test suites, scoring metrics, and leaderboards for comparing agent capabilities on planning, reasoning, tool use, and task completion.
AgentBench v0.2	🔗 GitHub	Comprehensive benchmark for evaluating LLM-as-Agent capabilities across 8 distinct environments including coding, gaming, web browsing, and household tasks. Provides standardized evaluation protocols, multi-dimensional metrics, and leaderboards for comparing agent performance across diverse real-world scenarios.
Agentic Radar	🔗 Link	Monitoring and analytics platform designed specifically for autonomous AI agents. Provides real-time tracking of agent behaviors, decision patterns, and performance metrics with anomaly detection and comprehensive dashboards for production agent systems.
Agentiv	🔗 Link	AI-powered advertising technology platform from LG Ad Solutions, designed to deploy and coordinate internal and external agents for automating operational workflows and data collaboration in Connected TV advertising.
agentlego	🔗 GitHub	Tool library and integration framework providing 70+ reusable tools for AI agents including image processing, OCR, search, and data analysis capabilities. Offers standardized tool interfaces compatible with LangChain, Transformers Agents, and other frameworks with easy-to-use APIs and comprehensive documentation.
agentops	🔗 GitHub	Open-source Python SDK for AI agent observability providing session replays, metrics, and monitoring for LangChain, CrewAI, and AutoGen. Features detailed agent execution tracking, LLM call logging, cost analysis, and performance metrics for debugging and optimizing multi-agent systems.
AgentSight	🔗 GitHub	Open-source observability framework for monitoring and debugging AI agent systems. Features execution tracing, state inspection, and visual debugging tools for understanding agent behaviors and optimizing performance in multi-agent environments.
AgentSquare	🔗 GitHub	Modular benchmark and development platform for evaluating and building LLM agents. Features customizable evaluation pipelines, standardized metrics, and tooling for systematic agent testing across reasoning, planning, and execution capabilities.
AgentX	🔗 Link	AI-powered sales assistant designed to enhance sales strategies and efficiency, featuring a Memory Module and Online Mode for smarter selling.
Arize Phoenix	🔗 Link	Open-source AI observability platform for evaluating, troubleshooting, and monitoring LLM applications and agents. Provides experiment tracking, prompt tracing, retrieval analysis, and LLM evaluations with support for traces, spans, and comprehensive debugging tools for production AI systems.
Artisan	🔗 Link	AI-powered B2B sales automation platform featuring Ava, an AI Sales Development Representative that automates over 80% of outbound tasks including lead discovery, email personalization, and meeting scheduling.
Braintrust	🔗 Link	Enterprise-grade AI product stack providing evaluations, prompt playground, logging, and dataset management for AI agents. Offers end-to-end workflow for building reliable AI products with continuous evaluation, prompt optimization, and production monitoring capabilities.
Cal.ai	🔗 Link	AI-powered phone call automation for scheduling built into Cal.com, featuring customizable human-like conversations that reduce no-shows and boost conversions. Allows users to assign dedicated phone numbers, write custom script prompts, define agent personality and tone, trigger calls on form submission or before meetings, and automate booking workflows at $0.29 per minute.
Cisco Unified Edge	🔗 Link	Integrated edge computing platform announced November 2025 for distributed agentic AI workloads, combining compute, networking, and storage into a single modular system. Features CPU and GPU configurations, up to 120TB storage, redundant power and cooling, integrated 25-gigabit networking, zero-touch deployment, and pre-validated blueprints designed for real-time AI inferencing from retail stores to healthcare facilities to factory floors.
Claude for Life Sciences	🔗 Link	Specialized version of Anthropic Claude model aimed at supporting the entire scientific process, featuring new connectors to scientific platforms like Benchling to assist with research and discovery.
Clay	🔗 Link	AI-powered sales platform that helps teams enrich, score, and automatically message leads. Features AI research agents that browse the web and gather information to create personalized outreach at scale.
CodeGuru	🔗 Link	AI-powered code analysis service that automatically flags security vulnerabilities, provides performance recommendations, and explains code issues with machine learning. Integrates with popular development tools and CI/CD pipelines.
Cognigy	🔗 Link	Conversational AI platform focused on enterprise customer service automation. Enables creation of intelligent virtual agents with advanced natural language processing and seamless integration with existing business systems.
composio	🔗 GitHub	Production-ready platform for integrating AI agents with 250+ external tools and services. Provides unified API for tool authentication, execution, and management with pre-built integrations for popular services like GitHub, Slack, Gmail, and developer tools. Features managed authentication, rate limiting, and comprehensive SDKs for all major agent frameworks.
CyberArk	🔗 Link	Enterprise security platform designed to secure autonomous AI agents themselves, addressing the new security risks and access-management challenges created when agents are deployed in sensitive environments.
Datadog	🔗 Link	Application performance monitoring platform with AI-powered agents for distributed tracing, root cause analysis, and proactive application improvement. Features Bits AI for data querying and automated remediation suggestions.
Elysia	🔗 Link	Open-source decision tree-based agentic RAG framework by Weaviate that dynamically displays data, learns from user feedback, and chunks documents on-demand. Features intelligent tool selection with transparent decision-making, context-aware on-the-fly document chunking, feedback-driven learning without cross-user contamination, and both full frontend interface and pip-installable Python package.
FutureHouse	🔗 Link	Non-profit research lab building AI agents to automate and scale scientific research, with a primary focus on accelerating discovery in biology and other complex sciences.
GenoMAS	🔗 GitHub	Multi-agent framework designed to automate scientific workflows, such as gene expression analysis.
GenoTEX	🔗 GitHub	Benchmark for evaluating LLM agents in the domain of gene expression data analysis.
Grafana Assistant	🔗 Link	AI-powered observability agent within Grafana Cloud that assists with investigations, incident response, and system monitoring. Uses LLMs to analyze metrics, logs, and traces, providing intelligent insights and automated root cause analysis for complex distributed systems.
Harvey AI	🔗 Link	Leading AI platform for legal work, providing generative AI agents trained on legal data to assist law firms and in-house teams with tasks like document review, contract analysis, due diligence, and legal research.
Helicone	🔗 Link	Open-source observability platform for AI agents offering one-line integration for logging, monitoring, and debugging LLM applications. Features request logging, cost tracking, latency monitoring, caching, rate limiting, and prompt versioning with support for all major LLM providers.
HockeyStack	🔗 Link	GTM Intelligence platform with AI agents (Odin and Nova) that analyze buyer journeys, connect to GTM tech stack, provide account and lead scoring, touchpoint analysis, and actionable recommendations without coding.
IBM BeeAI	🔗 Link	IBM Research project for observability and debugging of agentic AI systems. Provides tools for tracing agent reasoning, visualizing decision trees, and analyzing multi-agent interactions for research and production deployments.
IBM Fusion	🔗 Link	AI-ready data platform implementing NVIDIA AI Data Platform design, engineered to power AI agents for scientific and medical research by continuously processing and vectorizing complex datasets.
Ingram Micro Xvantage	🔗 Link	AI agent built with Google Gemini models embedded in the Xvantage distribution platform, designed to provide actionable daily briefs and data-driven recommendations to sales teams.
Instantly.ai	🔗 Link	AI-powered email outreach platform that automates sales prospecting with unlimited email account connections, AI personalization, and campaign analytics. Focuses on scaling cold email outreach with deliverability optimization.
Jasper	🔗 Link	Enterprise AI marketing platform that creates brand-aligned content across channels. Features specialized marketing agents for content creation, campaign development, and brand voice consistency.
Kompas AI	🔗 Link	Intelligent data analyst tool that interprets, analyzes, and visualizes complex data with strong encryption and security. Provides user-friendly data processing with automated insights generation and secure data handling.
KushoAI	🔗 Link	AI-powered API testing platform that generates and runs comprehensive test suites automatically. Integrates with CI/CD pipelines to provide continuous testing and crash-free releases with AI-analyzed results.
Langfuse	🔗 Link	Open-source LLM observability and analytics platform providing tracing, prompt management, evaluation, and analytics for AI agents. Features detailed execution traces, cost tracking, quality metrics, and collaborative prompt versioning for debugging and optimizing agentic systems in production.
langtrace	🔗 GitHub	Open-source observability platform for LLM applications built on OpenTelemetry standards. Provides distributed tracing, metrics collection, prompt management, and evaluation tools with support for all major agent frameworks and LLM providers.
mem0	🔗 Link	Universal self-improving memory layer for AI agents and LLM applications, enabling personalized AI interactions with just three lines of code. Features long-term, short-term, semantic, and episodic memory types, integrates with OpenAI, LangGraph, CrewAI, and selected as exclusive memory provider for AWS Agent SDK. Achieves 26% improvement in LLM-as-a-Judge metrics with 91% lower p95 latency and 90% token cost savings.
MixedVoices	🔗 Link	Open-source analytics and evaluation platform for voice AI agents, functioning as Mixpanel for conversational AI with auto-generation of interactive call flow visualizations. Enables developers to analyze, visualize, evaluate, and optimize conversational AI performance by understanding common user paths, behaviors, and agent interaction patterns for continuous improvement.
Nexent	🔗 GitHub	Zero-code open-source platform for auto-generating intelligent agents from natural language prompts through a simple workflow: prompt → plan → execute. Eliminates complex orchestration and drag-and-drop requirements while offering powerful agent running control, data processing capabilities, and MCP tool integration for building sophisticated agents without technical expertise.
open-operator-evals	🔗 GitHub	Open-source benchmark framework for evaluating web operators and agents on their ability to complete web tasks. Provides transparent, reproducible performance evaluations with WebVoyager30 benchmark dataset covering 30 diverse web tasks.
OpenAI Aardvark	🔗 Link	Autonomous AI security agent powered by GPT-5 that operates as an agentic security researcher to continuously monitor repositories, discover vulnerabilities, assess exploitability, and propose targeted patches.
OpenLens AI	🔗 GitHub	Autonomous research agent specifically tailored for the analysis of health and medical data.
Pydantic Logfire	🔗 Link	Observability platform from Pydantic designed specifically for Python applications and AI agents. Provides structured logging, tracing, and monitoring with type-safe instrumentation, seamless integration with Pydantic models, and powerful debugging capabilities for production systems.
RAGLight	🔗 GitHub	Modular framework for building Retrieval-Augmented Generation pipelines with support for Agentic RAG featuring multi-step reasoning and tool usage. Includes seamless MCP Server integration for external tool interaction, customizable LLM providers (OpenAI, Ollama), vector store integration, and support for multiple knowledge sources including local folders and GitHub repositories.
Relevance AI	🔗 Link	Low-code platform for building AI sales agents and teams that automate lead generation, research, and follow-up processes. Features specialized sales prospecting agents with CRM integration and customizable workflow automation.
Salescloser AI	🔗 Link	Autonomous AI agent focused on sales automation, designed to handle sales tasks and customer interactions to close deals.
Sierra	🔗 Link	Specialized platform for building customer service AI agents that deliver empathetic, personalized conversations. Enables agents to take action through CRM integration and order management systems while maintaining brand tone and voice consistency.
Snyk	🔗 Link	Developer security platform that uses DeepCode AI to provide real-time security intelligence, automatically fix vulnerabilities, and integrate security into development workflows. Features AI-powered code analysis and automated remediation capabilities.
Synthflow AI	🔗 Link	No-code enterprise platform for creating and deploying natural-sounding voice agents with multilingual support for 30+ languages and dialects. Features sub-100ms latency with in-house telephony, HIPAA and GDPR compliance, 200+ enterprise integrations including Salesforce and HubSpot, and white-label capabilities for handling customer support, appointment scheduling, and complex workflows at scale.
Sysdig	🔗 Link	Cloud security platform that uses AI agents for threat detection, vulnerability management, and cloud detection response. Features real-time security intelligence and automated response capabilities for container and Kubernetes environments.
Talkscriber	🔗 Link	Enterprise-grade AI speech-to-text platform offering industry-leading transcription accuracy with Word Error Rate under 4%, featuring emotion detection across 7 emotions and purchase intent analysis. Provides secure deployment options across on-premises, public, private, or hybrid cloud with advanced capabilities including dialogue summarization, topic extraction, and PII redaction for customer interaction insights.
Teneo.ai	🔗 Link	Agentless Contact Center platform achieving 100% automation of level 1 support with 99% accuracy. Features advanced natural language understanding, multi-channel support, and LLM orchestration for enterprise-grade customer service automation.
ThinkChain	🔗 Link	Provides advanced AI agents for data analysis including Discover agents for research, Chain of Thought agents for complex problem-solving, and Analyst agents for real-time financial analysis. Features comprehensive workflow automation from data gathering to insight generation.
ToolBench	🔗 GitHub	Comprehensive benchmark for evaluating LLM agents on tool usage and API interaction capabilities. Features 16,000+ real-world APIs, standardized evaluation metrics, and test scenarios covering tool selection, parameter filling, and multi-step tool orchestration.
VAPI	🔗 Link	Developer-focused voice AI platform for building advanced voice agents with enterprise infrastructure, featuring response times under 500ms and support for 100+ languages. VAPI provides Flow Studio for visual conversational logic design, highly customizable STT/LLM/TTS provider selection, and scalable phone operations for inbound and outbound calls across industries like healthcare, finance, and travel.
Vogent VoiceLab	🔗 Link	All-in-one platform for building, testing, and deploying AI voice agents with access to latest super-realistic voice models including Sesame CSM-1B, Dia, and Orpheus. Features optimized compute for real-time inference with sub-200ms time-to-first-token, supports both zero-shot voice cloning and fine-tuning, and provides unified API for multiple voice model integration.
Writer	🔗 Link	Enterprise generative AI platform designed for content creation, editing, and optimization. Provides AI agents for marketing teams to maintain brand consistency and accelerate content production workflows.

Testing & Qa

Framework	Repository	Description
Cekura	🔗 Link	End-to-end quality assurance platform for conversational AI agents providing automated testing, observability, and monitoring for voice and chat bots. Covers full agent lifecycle from pre-production simulation to post-deployment analytics with real-time failure alerts and regression tracking.

🤖 Autonomous Agents

Self-directed AI systems that can plan, execute, and iterate on complex tasks with minimal human intervention, from AutoGPT to BabyAGI and beyond.

Framework	Repository	Description
Agent-E	🔗 GitHub	Browser-focused automation agent built on AutoGen, designed to handle computer actions via AI. Specializes in web-based task automation with autonomous browser control capabilities.
AgentGPT	🔗 Link	A web-based autonomous AI agent platform that allows users to create custom AI agents with specific objectives. It operates in a loop to generate tasks, execute them, and learn from outcomes, all accessible through a user-friendly browser interface.
AutoGPT	🔗 GitHub	A pioneering open-source autonomous AI agent that can perform complex tasks independently using GPT-4. It can create subtasks, launch new agents, write its own code, and recursively debug and improve itself with minimal human intervention.
BabyAGI	🔗 GitHub	A pared-down autonomous AI agent (140 lines of code) that uses OpenAI and vector databases to create, prioritize, and execute tasks. It implements a simple task management loop powered by GPT-4 and Pinecone for memory storage.
BabyAGI 2.0	🔗 GitHub	An experimental framework for a self-building autonomous agent featuring a new function framework (functionz) for storing, managing, and executing functions from a database. It automatically loads essential function packs and manages dependencies.
BabyAGI 2o	🔗 GitHub	The simplest self-building autonomous agent that iteratively builds itself by creating and registering tools as required to complete tasks. It dynamically creates Python functions as tools and can handle complex tasks like web scraping and image analysis.
ChatDev	🔗 GitHub	Multi-agent virtual software company framework that uses agents in different roles (CEO, programmer, tester) to autonomously create customized software from natural language ideas. Implements collaborative development processes with specialized agent roles for complete software creation.
Cognition Devin 2.0	🔗 Link	Enhanced autonomous AI software engineer with agent-native IDE features including Interactive Planning, search/wiki capabilities, and improved human-in-the-loop workflows. Designed for more complex software engineering tasks with advanced collaboration and problem-solving capabilities.
Cognosys	🔗 Link	An AI-powered productivity copilot that helps users streamline their workflows and manage their time more efficiently. It acts as an autonomous agent for handling complex business and personal tasks.
Devin	🔗 Link	Autonomous AI software engineer from Cognition Labs that plans, executes, and iterates on software development tasks in a sandboxed workspace with shell, editor, and browser access. Supports human-in-the-loop review and long-horizon work for complex engineering projects.
Devon	🔗 GitHub	An open-source research agent designed for software engineering tasks that can understand and modify codebases, run tests, and interact with development environments. Devon represents research into autonomous programming and software development assistance.
DevOpsGPT	🔗 GitHub	AI-driven multi-agent platform designed to automate and streamline software development processes and DevOps tasks. Combines development and operations expertise in autonomous workflows for continuous integration and deployment.
GenAgent	🔗 GitHub	Framework for building collaborative AI systems with automated workflow generation, including case studies for ComfyUI. Features automated agent collaboration patterns for complex creative and technical workflows.
Godmode	🔗 Link	A web-based autonomous AI agent platform inspired by AutoGPT and BabyAGI. It provides a user-friendly interface for interacting with advanced AI models like AutoGPT and BabyAGI directly through a web platform.
GPT Researcher	🔗 GitHub	An autonomous agent designed for comprehensive online research tasks across various domains. GPT Researcher can gather information from multiple sources, synthesize findings, and produce detailed research reports, serving as a research tool for academic and professional investigations.
gpt-engineer	🔗 GitHub	AI-powered code generation framework that clarifies user requirements and autonomously builds entire software projects based on a prompt. Features interactive requirement gathering and step-by-step code generation for rapid prototyping and development.
JARVIS	🔗 GitHub	A collaborative system comprising a Large Language Model as the central controller and numerous expert models as collaborative executors from Hugging Face Hub. It handles task planning, model selection, task execution, and content generation across dozens of specialized models.
KwaiAgents	🔗 GitHub	Generalized agent system that leverages Large Language Models for information-seeking and complex task completion. Designed for multi-domain autonomous task execution and knowledge retrieval.
Lighty AI	🔗 Link	An autonomous AI agent that aims to maximize efficiency by helping users manage their time and tasks more effectively. It focuses on supercharging productivity and making every minute count.
Maige	🔗 GitHub	A research-focused codebase agent that runs when new issues and pull requests are created on GitHub. Maige can search entire codebases, run scripts in sandboxes, and write basic code, serving as a research tool for automated software development and code analysis.
MLE-agent	🔗 GitHub	Intelligent agent for AI engineering and research, integrating with platforms like arXiv and code repositories to assist in planning and execution. Specializes in machine learning engineering workflows and research project automation.
MultiOn	🔗 Link	Autonomous AI agents designed to assist with various aspects of daily life, from managing tasks to providing information. It operates directly in the browser and can interact with web applications autonomously.
Notte	🔗 GitHub	High-performance framework optimized for building reliable browser-using AI agents. Focuses on stability and performance for production-grade autonomous web automation.
OpenDevin	🔗 GitHub	Open-source platform for developing AI-powered autonomous software engineering agents capable of writing code, executing commands, and browsing the web. Community-driven alternative to proprietary solutions with MIT license, enabling collaborative development of autonomous coding agents.
ProAgent	🔗 GitHub	LLM-based agent framework designed for agentic process automation (APA) in enterprise workflows. Focuses on automating complex business processes through intelligent agent orchestration.
ShortGPT	🔗 GitHub	Experimental framework for automating short-form video content creation using AI models. Autonomously generates, edits, and produces video content with minimal human direction.
SuperAGI	🔗 GitHub	A dev-first open-source autonomous AI agent framework enabling developers to build, manage, and run useful autonomous agents quickly and reliably. Features include graphical UI, action console, multiple vector DBs, and performance telemetry.
SWE-agent	🔗 GitHub	Software engineering agent that turns language models (like GPT-4) into autonomous agents capable of fixing bugs and resolving issues in real GitHub repositories. Designed to autonomously diagnose, debug, and patch software issues with minimal human intervention.
Sweep	🔗 GitHub	Open-source AI agent that automates the transformation of GitHub issues into pull requests, streamlining bug fixes and code improvements. Connects issue tracking directly to code changes for accelerated development workflows.
TaskWeaver	🔗 GitHub	Code-first agent framework from Microsoft designed for data analytics tasks, enabling agents to plan and execute tasks by generating and running Python code. Transforms natural language requests into executable code workflows for data analysis and automation.
UFO	🔗 GitHub	UI-focused agent from Microsoft designed to interact with and automate tasks within the Windows OS environment. Enables autonomous control of Windows applications through intelligent UI understanding and interaction.
Voyager	🔗 Link	Cutting-edge research project demonstrating an autonomous LLM-driven agent in Minecraft. The first GPT-4-powered embodied lifelong learning agent that continuously explores, writes and executes code to acquire new skills, and self-improves over time without human intervention using automatic curriculum and iterative prompting.
XAgent	🔗 GitHub	Autonomous Large Language Model agent specialized in solving complex tasks through autonomous planning and tool usage. Features sophisticated task decomposition and execution capabilities for handling multi-step technical challenges.

🌐 Browser Automation Agents

AI-powered browser automation tools that can navigate websites, extract data, and perform web interactions autonomously for testing and scraping tasks.

Framework	Repository	Description
AgentQL	🔗 Link	An AI-powered query language and suite of tools for connecting AI agents to the web, featuring natural language selectors for web scraping and automation. AgentQL offers resilient, self-healing web element location that adapts to website changes, with SDKs for Python and JavaScript, REST API, and integrations with popular frameworks like LangChain.
Apify	🔗 Link	Cloud platform for web scraping, browser automation, and AI agents with 7,000+ ready-made tools and automation solutions. Apify provides AI Web Agent for natural language web browsing, MCP Server integration enabling agents to extract data from social media and search engines, and specialized agents for data extraction, monitoring, and analysis. Features integration with LangChain, LlamaIndex, and the wider LLM ecosystem for building production-ready web automation workflows.
Axiom.ai	🔗 Link	A no-code browser automation and RPA tool that enables users to build browser bots for automating website actions and repetitive tasks. Axiom.ai features a Chrome extension for easy bot building, integration with Zapier and Make, AI-powered automation with ChatGPT, and supports both scheduled and triggered bot execution.
Browse AI	🔗 Link	An AI-powered data extraction platform that transforms websites into live data pipelines without requiring coding skills. Browse AI enables users to easily scrape web data, monitor webpage changes, and turn websites into APIs with built-in bot detection avoidance, proxy management, and automated data extraction workflows.
Browser Use	🔗 GitHub	An open-source library that empowers AI agents to interact with web browsers using natural language commands for automated web tasks. Browser Use provides a simple interface for AI agents to control browsers, extract data from websites, fill forms, and perform complex web interactions without requiring specific selectors or manual configuration.
Browserbase	🔗 Link	A headless browser infrastructure platform specifically designed for AI agents and applications, offering scalable browser automation capabilities. Browserbase provides stealth features, captcha solving, residential proxies, and comprehensive observability tools, making it ideal for AI-powered web automation with enterprise-grade security and compliance.
Claude Computer Use	🔗 Link	A new capability from Anthropic that allows Claude to interact with computer interfaces by looking at screens, moving cursors, clicking buttons, and typing text. This represents a significant advancement in AI agents' ability to perform complex computer tasks autonomously.
Playwright	🔗 Link	A framework for web testing and automation that has been enhanced with AI-powered tools for intelligent web interaction. Playwright provides cross-browser automation capabilities and has been integrated with various AI tools like Auto-Playwright and ZeroStep for natural language test generation and AI-powered element selection.
Puppeteer	🔗 Link	A Node.js library providing a high-level API to control Chrome or Firefox browsers, increasingly used in AI agent implementations for web automation. Puppeteer serves as the foundation for many AI-powered web agents, offering programmatic browser control, screenshot capabilities, and integration with vision models for intelligent web navigation.
Tarsier	🔗 GitHub	Open-source vision utilities library for multimodal web agents by Reworkd, enabling AI models to interact with and automate web browsers through visual understanding. Tarsier visually tags interactable elements with brackets and IDs for LLM action mapping, includes OCR algorithm for converting screenshots to structured text, and achieves 10-20% performance gains on benchmarks. Used extensively in production for tens of thousands of real web tasks.

💻 Coding Assistant Agents

AI-powered development tools that assist with code generation, debugging, refactoring, and documentation, enhancing developer productivity.

Framework	Repository	Description
Aider	🔗 Link	An AI pair programming tool that works directly in your terminal and integrates seamlessly with Git. It can edit code in your local repository, automatically commits changes with meaningful messages, and works best with Claude 3.5 Sonnet, GPT-4o, and other leading models.
Amazon CodeWhisperer	🔗 Link	An AI-powered coding companion that provides real-time code suggestions, security scans, and reference tracking. It's optimized for AWS APIs and services, offering both individual and enterprise plans with built-in security vulnerability detection.
Amazon Q Developer	🔗 Link	Amazon's next-generation AI agent for software development that goes beyond code completion to handle complex tasks like feature implementation, code transformation, and troubleshooting. Provides inline code suggestions, chat-based assistance, autonomous agents for multi-file edits, and deep integration with AWS services for enterprise development workflows.
Codeium	🔗 Link	A free AI-powered code acceleration toolkit that provides code completion, chat functionality, and search capabilities. It uses in-house built models and infrastructure to deliver intelligent coding assistance across multiple programming languages and IDEs.
Continue.dev	🔗 Link	An open-source AI code assistant that enables developers to create, share, and use custom AI code assistants. It provides VS Code and JetBrains extensions with chat, autocomplete, edit, and agent modes, supporting multiple AI models and complete customization.
Cursor	🔗 Link	An AI-first code editor built on VS Code that provides intelligent code suggestions, automated error detection, and dynamic code optimization. It features advanced AI capabilities including Composer for multi-file editing and supports multiple AI models like GPT-4o, Claude 3.5, and Gemini.
GitHub Copilot	🔗 GitHub	The world's most widely adopted AI developer tool that provides contextualized assistance throughout the software development lifecycle. It offers code completions, chat assistance, and now includes autonomous agent capabilities that can implement features and fix bugs across multiple files.
GitHub Copilot Workspace	🔗 Link	GitHub's evolution of Copilot into a task-centric AI agent environment that generates plans, edits code across multiple files, validates builds, and creates pull requests. Goes beyond code completion to orchestrate entire feature implementations from natural language descriptions with integrated testing and validation.
Plandex	🔗 Link	An AI coding assistant that excels at complex, multi-step coding tasks. It can work across multiple files and handle large-scale refactoring projects with a focus on maintaining code quality and project structure.
Replit Ghostwriter	🔗 Link	An AI-powered coding assistant integrated into the Replit platform that provides code completion, debugging assistance, and code explanation. It's designed to work seamlessly within Replit's online IDE environment.
Sourcegraph Cody	🔗 Link	An AI coding assistant that uses advanced search and codebase context to help write and fix code. It provides chat functionality, autocomplete, and inline edits with deep understanding of entire codebases, making it particularly effective for large-scale enterprise development.
Supermaven	🔗 Link	An AI coding assistant that was acquired by Anysphere (makers of Cursor) in 2024. It provides fast, intelligent code completion and is being integrated into Cursor's ecosystem to enhance its AI capabilities.
Tabnine	🔗 Link	An AI coding assistant that focuses on code autocomplete with a unique hybrid LLM approach. It offers both cloud-based and local deployment options, making it suitable for enterprises with strict security requirements.
Windsurf	🔗 Link	The world's first AI-native IDE that reimagines the coding experience with proactive AI capabilities. It features Cascade, an AI engine that turns coding into an interactive dialogue, and includes tools like Riptide for integrated search and real-time assistance.
Zed AI	🔗 Link	A high-performance, multiplayer code editor with built-in AI capabilities. It focuses on speed and collaboration while providing intelligent code assistance and real-time collaborative editing features.

🏢 Enterprise Agent Platforms

Commercial and cloud-based agent platforms from major providers like Microsoft, Google, AWS, and Salesforce for enterprise-scale deployments.

Framework	Repository	Description
AIONOS IntelliMate	🔗 Link	A proprietary Agentic AI platform that unifies, orchestrates, and observes enterprise agents for customer and employee interactions. Delivers multi-lingual, omni-channel experiences with centralized agent management and comprehensive observability across all deployed agents.
Airia	🔗 Link	An enterprise AI platform focused on secure and scalable agent orchestration with comprehensive tooling options. Offers no-code, low-code, and pro-code tools for building and managing AI solutions with enterprise-grade security, compliance controls, and flexible deployment options.
Aisera	🔗 Link	AI platform that provides comprehensive system of AI agents for employee services, IT service management, and customer support. Recognized as a leader in Gartner Magic Quadrant for AI Apps for ITSM with conversational AI capabilities.
Allianz Nemo	🔗 Link	A proprietary multi-agent system developed by Allianz using seven specialized AI agents to automate insurance claims processing. Handles coverage checks, fraud detection, and claims assessment with human-in-the-loop approval for final decisions, demonstrating enterprise-scale multi-agent orchestration in insurance workflows.
Amelia	🔗 Link	A long-standing enterprise digital employee platform leveraging cognitive AI for human-like interactions across complex end-to-end processes. Handles HR, IT, customer service, and finance workflows with emotional intelligence capabilities, continuous learning, and the ability to understand context and intent in natural conversations.
Automation Anywhere AI Agent Studio	🔗 Link	A low-code workspace within Automation Anywhere's automation suite for building goal-driven AI agents. Features easy configuration of agent roles, goals, and tool access with drag-and-drop integration into end-to-end workflows, complete with built-in governance, monitoring, and detailed audit capabilities.
AWS Bedrock Agents	🔗 Link	Amazon's fully managed service for building and deploying AI agents that can execute multi-step tasks using company systems and data sources. Features memory retention, guardrails integration, multi-agent collaboration, and secure code execution environments with support for various foundation models.
Beam AI	🔗 Link	Agentic AI platform for process automation that enables Fortune 500 companies to build AI workforces across multiple business functions. Features multi-agent capabilities with modular design for system integration and workflow optimization.
Claude for Excel	🔗 Link	An Anthropic research preview that embeds Claude directly into Microsoft Excel for financial services. Allows financial analysts to read, analyze, modify, and create workbooks using natural language, bringing agentic AI capabilities directly into enterprise spreadsheet workflows.
CozmoX AI	🔗 Link	A platform for developing AI employees that operate as human-like team members within organizations. Uses advanced voice technology to conduct natural conversations for sales, finance, and routine tasks, enabling businesses to augment their workforce with intelligent conversational agents.
CrewAI AMP	🔗 Link	The enterprise-grade Agent Management Platform from CrewAI for managing, scaling, monitoring, and optimizing collaborative AI agents in production environments. Separate from the open-source CrewAI framework, this platform provides centralized control, observability, and governance for multi-agent systems at scale.
Dashworks	🔗 Link	AI-powered knowledge assistant that automates internal queries by searching across company knowledge bases and applications. Provides intelligent search and retrieval capabilities for enterprise information management.
Delos	🔗 Link	A modern AI agent platform built to accelerate enterprise productivity by leveraging generative AI capabilities in a secure, managed environment. Focuses on providing enterprise-ready agents with built-in security, compliance, and governance features for production deployments.
Factory.ai	🔗 Link	Agentic AI platform focused on transforming software development through autonomous "Droids" that manage the entire software engineering lifecycle from ideation to deployment. Features parallel task execution, enterprise-grade security, hybrid cloud/local deployment, and deep project context with memory retention. Backed by $20M Series A funding from Sequoia Capital, priced at $40/month for enterprise-scale automation.
Google Gemini Enterprise	🔗 Link	Google's advanced agentic platform that empowers employees to discover, create, share, and run AI agents in a secure enterprise environment. Features a no-code agent builder, workflow automation capabilities, and deep integration with Google Workspace for organization-wide agent deployment and management.
Google Vertex AI Agent Builder	🔗 Link	Google's enterprise platform for building AI agents with the Agent Development Kit (ADK) that enables multi-agent development in under 100 lines of code. Integrates with Google Cloud, Vertex AI, and Agentspace for enterprise deployment with support for hierarchical agent compositions and the Agent2Agent protocol.
HubSpot Breeze	🔗 Link	AI-powered customer service agent that handles inquiries in real-time, provides instant responses, and intelligently routes complex issues to human agents. Integrates with HubSpot's CRM and marketing tools to maintain context across customer touchpoints.
IBM Fusion	🔗 Link	An AI-ready data platform from IBM implementing NVIDIA's AI Data Platform design for agentic AI applications. Engineered to power AI agents for scientific and medical research by continuously processing and vectorizing complex datasets, providing the data infrastructure foundation for enterprise agent deployments.
IBM watsonx Assistant	🔗 Link	IBM's enterprise AI agent platform that delivers prebuilt agents for HR, sales, procurement, and customer care functions. Integrates with over 80 enterprise applications and uses watsonx foundation models to automate complex workflows while maintaining enterprise-grade security and compliance.
IBM watsonx Orchestrate	🔗 Link	IBM's generative AI and automation solution for creating and managing AI agents that handle enterprise workflows. Provides multi-agent orchestration with visual builder capabilities, a catalog of 100+ prebuilt domain-specific agents, 400+ tool integrations, and centralized governance for security and compliance at scale.
Informatica AI Agent Engineering	🔗 Link	A capability within the Intelligent Data Management Cloud (IDMC) that empowers enterprises to build, orchestrate, and manage customizable Informatica agents. Features a no-code interface for agent development with deep integration into Informatica's data management and integration platform.
Konverso	🔗 Link	An AI agent platform providing ready-to-use and personalized agents that connect to enterprise data sources including Microsoft and ServiceNow. Automates workflows with prebuilt tools and connectors, enabling rapid deployment of intelligent agents across IT service management and employee support functions.
Kore.ai	🔗 Link	An enterprise AI agent platform designed to optimize customer and employee experiences by accelerating business processes. Provides AI solutions for work automation, service optimization, and intelligent process handling with enterprise-grade deployment and management capabilities.
Lyzr	🔗 Link	Enterprise AI agent platform that provides customizable GenAI agents for various business functions. Features ready-to-use templates, natural language configuration, and support for large-scale operations with enhanced security protocols.
Microsoft Copilot Studio	🔗 Link	Microsoft's enterprise AI agent platform that enables organizations to build, deploy, and manage intelligent agents using generative AI and sophisticated dialog creation. Features multi-agent orchestration, computer use capabilities, and integration with Microsoft 365 ecosystem, Azure AI Foundry, and over 1,800 models for enterprise-grade automation.
Moveworks	🔗 Link	Enterprise AI platform providing agentic AI assistants that automate workflows across IT, HR, and employee support departments. Features natural language processing for employee self-service and automated issue resolution.
OneReach.ai	🔗 Link	A no-code and low-code studio for orchestrating multi-channel bots and AI agents across enterprise environments. Built on a serverless microservices architecture for dynamic scaling with support for complex conversational flows and integration with enterprise systems.
Oracle AI Agent Studio	🔗 Link	Oracle's comprehensive platform for creating, extending, and managing AI agents across the enterprise, featuring 50+ role-based agents embedded in Oracle Fusion Cloud Applications. Includes no-code tools, agent template libraries, and deep integration with Oracle's business applications and cloud infrastructure.
Oracle AI Agents in Fusion Cloud	🔗 Link	A suite of AI agents embedded directly within Oracle Fusion Cloud Applications, specifically designed to help finance professionals increase productivity, reduce costs, and improve controls. Features specialized agents for financial workflows with deep integration into Oracle's enterprise resource planning system.
Salesforce Agentforce	🔗 Link	Salesforce's comprehensive AI agent platform that brings autonomous digital labor to every business department and process. Built on the trusted Salesforce platform with the Atlas Reasoning Engine, it enables agents to understand, decide, and act autonomously across sales, service, marketing, and commerce with seamless CRM integration.
SAP Joule Agents	🔗 Link	SAP's AI agent platform powered by Joule that delivers collaborative intelligence across enterprise functions with over 1,300 skills and 230+ AI-powered scenarios. Features the SAP Knowledge Graph for business process grounding and integrates deeply with SAP's business applications for autonomous multi-step workflow execution.
Shakudo	🔗 Link	An enterprise platform for scalable AI agent development and deployment with comprehensive governance and security features. Provides monitoring, compliance controls, and production-grade infrastructure for building and managing agentic systems across cloud and on-premises environments.
Squirro	🔗 Link	An enterprise-grade AI platform focused on transforming data into actionable insights through contextual intelligence and generative AI-powered agents. Provides agents that analyze complex data sources and deliver intelligent recommendations for business decision-making.
UiPath Agentic Automation	🔗 Link	The enterprise RPA platform augmented with generative AI capabilities featuring an Agent Builder for creating and orchestrating AI agents. Combines LLM-driven reasoning with UiPath's robots and API integrations for autonomous process handling with enterprise governance, security testing, and human-in-the-loop oversight.
Workato	🔗 Link	An enterprise automation platform featuring Genie AI agents that blend LLM reasoning with no-code orchestration capabilities. Leverages over 1,000 integrations to autonomously execute business tasks across systems, following business rules while delivering results faster through intelligent workflow automation.
WorkFusion	🔗 Link	An enterprise platform providing pre-built, regulatory-ready AI agents for financial services with specialization in Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance workflows. Features industry-specific agents designed to meet regulatory requirements while automating complex financial processes.
Yellow.ai	🔗 Link	An enterprise-grade AI agent platform featuring an intuitive bot builder with pre-built templates and flows. Designed for high scalability in customer and employee support scenarios with multi-channel deployment capabilities and comprehensive analytics for agent performance monitoring.

📊 Statistics

Total Entries: 278
Categories: 10
Last Generated: 2025-12-21

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

📄 License

ℹ️ Note: This README is auto-generated from structured data. Do not edit directly. Edit YAML files in data/ instead.

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
.claude/commands		.claude/commands
.github		.github
.spec_system		.spec_system
data		data
docs		docs
reports		reports
scripts		scripts
static		static
templates		templates
tests		tests
.gitattributes		.gitattributes
.gitignore		.gitignore
BOILERPLATES.md		BOILERPLATES.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
pytest.ini		pytest.ini
requirements.txt		requirements.txt

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🚀 Ultimate AI Agent Directory 2025

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