awesome-ai-agents
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A curated list of frameworks, tools, and resources for building and deploying AI agents. From multi-agent systems to autonomous coding assistants, this repository covers the latest advancements in AI agent technology. Perfect for developers, researchers, and AI enthusiasts exploring the future of autonomous systems.
README.md
Awesome AI Agents
A curated, actively maintained directory of 100+ frameworks, tools, and resources for building AI agents — from multi-agent systems and autonomous coding assistants to memory, evaluation, and deployment. ⭐ Star it to keep the fast-moving AI agent ecosystem one click away.
Contents
- 🌟 Core Frameworks
- 🚀 Specialized Agents
- ⚙️ Agent Operations
- 📚 Research & Benchmarks
- 🌐 Community Resources
- 🚀 Contributors
🌟 Core Frameworks
Frameworks for building and managing AI agents.
| Framework | Stars | Description |
|---|---|---|
| AutoGen |  |
Multi-agent conversations, GPT-4 integration, customizable workflows |
| AutoGPT |  |
Autonomous AI agent for task completion, web browsing, and code execution |
| MetaGPT |  |
Simulates software company workflows, role-based agents |
| Neurolink |  |
Multi-provider AI agent framework, unifies 12+ LLM providers, workflow orchestration |
| CrewAI |  |
Role-based agent orchestration, task delegation |
| PraisonAI |  |
Fastest multi-agent framework (3.77μs), 100+ LLMs, MCP, workflows, Python & JS SDKs |
| LightAgent |  |
Lightweight Python agent framework with memory, MCP/SSE, Skills, streaming, and LightSwarm multi-agent collaboration |
| LangChain |  |
Tool integration, memory management, agent chaining |
| LangGraph |  |
Stateful, multi-actor applications with LLMs |
| SuperAGI |  |
Open-source AGI framework, multi-modal agents |
| Google ADK (Agent Development Kit) |  |
Code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents |
| OpenAI Assistants API (SDK) |  |
Build AI assistants with tools and persistent threads via SDK |
| AgentOps |  |
Monitoring, cost tracking, and benchmarking SDK for agents |
| AgentField |  |
Open-source control plane for AI agents at scale, with routing, memory, observability, identity, and auth |
| Agentset |  |
Production-ready RAG platform with agentic reasoning, hybrid search, and multimodal support |
| LLMStack |  |
No-code multi-agent framework with data workflows |
| Agency Swarm |  |
Reliable multi-agent orchestration using OpenAI Assistants API |
| AGiXT |  |
Adaptive automation platform with persistent memory |
| Upsonic |  |
Reliability layer, model context protocol, task-oriented |
| Taskade |  |
AI-native workspace for building and deploying multi-agent workflows |
| Taskade MCP |  |
Open-source MCP toolkit and integrations for building AI agents and automated workflows |
| AgentVerse |  |
Multi-agent simulation environments for research |
| ChatDev |  |
Collaborative software development agents |
| Agno |  |
Multi-agent framework, runtime, and control plane for AI products |
| Hephaestus |  |
Local Python runtime for packaging and routing coding agents and skills across Claude Code, Codex, and Cursor |
| Composio |  |
100+ integrations for AI agents via function calling, MCP compatible |
| PocketFlow |  |
Minimalist 100-line LLM framework for agents, workflows, and RAG |
| CAMEL |  |
Multi-agent framework for communicative agents research |
| Strands Agents SDK |  |
AWS-backed model-driven agent SDK with MCP and multi-provider support |
| Summoner |  |
Agent-to-agent networking for server-decoupled agents over long-lived TCP sessions (Python/Rust), 50+ runnable templates |
| KodeAgent |  |
The Minimal Agent Engine to build ReAct & CodeAct agents, with support for code sandbox and observability |
| Hivemoot Colony |  |
Self-governing multi-agent platform; agents propose, vote, peer-review, and ship software via democratic consensus |
| OIXA Protocol |  |
Agent-to-agent economic marketplace protocol on Base with on-chain escrow and A2A integrations |
| smolagents |  |
Code-first agent library by Hugging Face, model-agnostic with MCP and sandbox support |
| LlamaIndex |  |
Data framework for LLM apps with RAG, agents, and 300+ integrations |
| Mastra |  |
TypeScript AI framework for agents, workflows, MCP servers, and evals |
| Hivekeep |  |
Self-hosted platform to run a team of specialized AI agents with persistent memory, a web UI, and Telegram/Slack/Discord/Matrix channels, in a single Bun and SQLite container |
| Better Agent |  |
Source-available workspace for running and supervising Claude, Codex, and Gemini coding-agent sessions |
🚀 Specialized Agents
Agents designed for specific tasks or industries.
💻 Coding Agents
| Name | Stars | Description |
|---|---|---|
| SWE-agent |  |
AI agent for software engineering tasks |
| GPT Pilot |  |
Assists in writing and debugging code |
| OpenHands |  |
Open-source AI software development agents (formerly OpenDevin) |
| Devika |  |
Agentic AI Software Engineer that writes code from natural instructions |
| Aider |  |
AI pair programming in terminal |
| Plandex |  |
AI coding engine for complex projects |
| TaskWeaver |  |
Code-first agent framework for analytical tasks |
| Gemini CLI |  |
Open-source AI agent bringing Gemini to the terminal with MCP support |
| AgenticSeek |  |
Fully local autonomous agent that browses web and codes without APIs |
| Cline |  |
Autonomous coding agent in VS Code with MCP, browser use, and terminal |
| Goose |  |
Open-source extensible AI agent by Block for engineering tasks |
| bolt.diy |  |
AI-powered full-stack web development in the browser with 19+ LLMs |
🔬 Research Agents
| Name | Stars | Description |
|---|---|---|
| GPT Researcher |  |
Autonomous agent for comprehensive research |
| Storm |  |
Multi-agent system for collaborative reasoning |
| DeerFlow |  |
Framework for deep research with web search and Python execution |
| Agon |  |
Prompt Economy orchestrator: reusable scientist/coder/auditor loops instead of per-task prompts, 18 roles, 10+ disciplines |
| AutoNumerics |  |
Writes, debugs, and validates classical PDE numerical solvers from plain-language problem descriptions |
🎨 Creative Agents
| Name | Stars | Description |
|---|---|---|
| ShortGPT |  |
Short-form video generation agent |
| AI-town |  |
Virtual world simulation with AI agents |
🌐 Web & Computer Use Agents
| Name | Stars | Description |
|---|---|---|
| Browser Use |  |
Make websites accessible for AI agents, automate tasks with ease |
| NanoBrowser |  |
TypeScript-based AI browsing agent |
| Firecrawl |  |
Turn websites into LLM-ready markdown or structured data |
| Crawl4AI |  |
Open-source LLM-friendly web crawler and scraper |
| Stagehand |  |
AI browser automation framework with natural language and code |
| Xquik |  |
X/Twitter data and action API (REST, MCP, webhooks) that agents call for search, monitoring, and posting |
| Skyvern |  |
Browser automation agent using LLMs and computer vision to complete web workflows |
| Playwright MCP |  |
MCP server exposing Playwright browser automation to AI agents |
| Agent S |  |
Open framework for computer-use agents that operate desktop GUIs like a human |
| UI-TARS Desktop |  |
GUI agent by ByteDance that controls desktop and browser via natural language, built on the UI-TARS vision model |
🗣️ Programming Language Agents
Agents and frameworks specialized for specific programming languages.
| Name | Language | Stars | Description |
|---|---|---|---|
| TypeChat | TypeScript |  |
Type-safe LLM outputs using TypeScript types |
| LangChain.js | JavaScript |  |
JS version of LangChain |
| Semantic Kernel | C#/.NET |  |
Integrate LLMs into .NET apps |
| LangChain4j | Java |  |
Java implementation of LangChain |
| Haystack | Python |  |
Search and question answering agents |
| LlamaIndex.js | TypeScript |  |
JS version of LlamaIndex |
| LangChain.rb | Ruby |  |
Ruby implementation of LangChain |
| LangChainGo | Go |  |
Go implementation for LLM orchestration |
| OpenAI Agents (Python) | Python |  |
Lightweight, provider-agnostic agent framework |
| Swarms-rs | Rust |  |
Swarm-based agent orchestration in Rust |
| AnythingLLM | JavaScript |  |
All-in-one AI agent builder with RAG and UI |
🎙️ Voice Agents
Frameworks for building real-time voice and conversational AI agents.
| Name | Stars | Description |
|---|---|---|
| Pipecat |  |
Open-source framework for building real-time voice and multimodal conversational agents |
| LiveKit Agents |  |
Framework for real-time voice AI agents with WebRTC transport, built on LiveKit |
| TEN Framework |  |
Open-source framework for real-time conversational voice agents with multimodal support |
⚙️ Agent Operations
Tools and systems for managing AI agents.
🧠 Memory
| Name | Stars | Description |
|---|---|---|
| Letta (formerly MemGPT) |  |
Dynamic, adaptive agent memory system |
| Mem0 |  |
Universal memory layer for AI agents |
| Tree Ring Memory |  |
Local-first CLI/TUI for agent memory recall, forgetting, audit, and consolidation |
| ChromaDB |  |
Vector DB for memory/context |
| Weaviate |  |
Scalable vector DB for semantic memory |
📊 Evaluation
| Name | Stars | Description |
|---|---|---|
| AgentBench |  |
Multi-environment testing for agents |
| LangTrace |  |
Monitoring and trace visualization |
| agenttrace |  |
Local TUI and reports for AI coding agent session cost, latency, failures, and health |
| ax |  |
Local-first evidence graph for coding-agent sessions, tool calls, skills, and cost |
| Agent Evaluation |  |
Benchmarking agent capabilities |
| Simple Evals |  |
OpenAI's lightweight LLM evaluation library |
📈 Observability
Tracing, monitoring, and debugging tools for agents in production.
| Name | Stars | Description |
|---|---|---|
| Langfuse |  |
Open-source LLM engineering platform for tracing, prompt management, and evaluations |
| Arize Phoenix |  |
Open-source AI observability with OpenTelemetry tracing, evals, and agent debugging |
| Helicone |  |
Open-source LLM observability with one-line integration for cost and usage tracking |
| OpenLLMetry |  |
OpenTelemetry-based instrumentation for LLM and agent frameworks |
| Laminar |  |
Open-source platform for tracing and evaluating AI agents |
🚀 Deployment
| Name | Stars | Description |
|---|---|---|
| Daytona |  |
Elastic infrastructure for AI-generated code |
| E2B |  |
Secure sandboxed environments for agents |
| OctoAI |  |
Scalable infrastructure for agent deployment |
| Modal |  |
Serverless runtime for AI workloads |
🔒 Security & Governance
| Name | Stars | Description |
|---|---|---|
| Agent Governance Toolkit |  |
Policy enforcement, zero-trust identity, and execution sandboxing for autonomous AI agents |
| Garak |  |
LLM vulnerability scanner - probes for prompt injection, data leakage, and hallucination |
| Presidio |  |
PII detection, redaction, and anonymization across text, images, and structured data |
| Guardrails AI |  |
Output validation and guardrails for LLM responses |
| NeMo Guardrails |  |
Programmable guardrails for LLM-based conversational systems |
| LLM Guard |  |
Security toolkit for scanning and sanitizing LLM prompts and outputs |
| Polaxis |  |
Pre-execution runtime firewall for AI agents - 7-layer threat detection and spend controls |
🔌 Protocols
Open protocols and implementations for agent-to-tool and agent-to-agent interoperability.
| Name | Stars | Description |
|---|---|---|
| Model Context Protocol |  |
Anthropic's open protocol standardizing how AI agents connect to tools and data sources |
| MCP Servers |  |
Official collection of reference MCP server implementations |
| A2A |  |
Open protocol started by Google for agent-to-agent communication across frameworks |
| FastMCP |  |
Pythonic framework for building MCP servers and clients |
📚 Research & Benchmarks
Key research papers, benchmarks, and surveys on AI agents.
📄 Papers
| Title | Link | Description |
|---|---|---|
| The Rise of LLM-Based Agents | arXiv | Comprehensive survey on LLM-based agents |
| Tool Learning with Foundation Models | arXiv | Tool usage in AI agents |
| Multi-Agent Collaboration | arXiv | Collaboration in multi-agent systems |
| Large Language Model based Multi-Agents | arXiv | Survey of progress and challenges |
| Agentic AI Systems | arXiv | Components and applications of agentic AI |
| A Survey on LLM-based Autonomous Agents | arXiv | Focus on autonomous LLM agents |
| OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents | arXiv | Four-agent pipeline with bandit scheduling turns optimization problems into solver code |
📊 Benchmarks
| Name | Stars | Description |
|---|---|---|
| ToolBench |  |
Benchmark for tool learning |
| SOTOPIA-π |  |
Social intelligence benchmark for multi-agent systems |
| PerspectiveGap |  |
Benchmark for writing orchestration prompts in multi-agent systems, 110 scenarios across 10 topologies |
🌐 Community Resources
Join the conversation and stay updated on AI agent developments.
👥 Communities
| Name | Link | Description |
|---|---|---|
| LangChain Community | Discord | Active developer community |
| AutoGen Discussions | GitHub | Microsoft AutoGen community forum |
| AgentOps Discord | Join | Developer space for observability and testing agents |
| Letta AI Community | Discord | Discussions on adaptive memory in AI agents |
📰 Newsletters
| Name | Link | Description |
|---|---|---|
| The Batch (DeepLearning.AI) | Subscribe | Weekly AI industry insights |
🚀 Contributors
A huge thank you to all our amazing contributors!
Your contributions make this project better every day.
⭐ A special shoutout to all our stargazers for your support!
Star this repository to stay updated and help grow the community of AI enthusiasts!
Contributing
Your contributions are welcome! Here's how to get started:
- Fork the repository and clone it locally.
- Add your resource to the appropriate section in
README.md. - Ensure the resource is:
- Relevant to AI agents.
- Actively maintained (updated within the last 6 months).
- Includes a brief description and link.
- Submit a pull request with a clear description of your changes.
For more details, see the CONTRIBUTING.md guide.
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