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Curated list of Agentic AI frameworks, multi-agent systems, and agent protocols
Curated list of the best frameworks, tools, and resources for building Agentic AI systems. Focus on autonomous agents, multi-agent systems, and AI agents with reasoning capabilities.
Frameworks for building autonomous AI agents with reasoning, planning, and tool-use capabilities.
| Framework | Stars | Description | Key Features |
|---|---|---|---|
| microsoft/autogen |  | Programming framework for agentic AI | Multi-agent, code execution, flexible conversation |
| langchain-ai/langchain |  | Build LLM applications | Components, chains, agents |
| langchain-ai/langgraph |  | Build stateful multi-actor applications | Cyclic graphs, stateful workflows |
| crewAIInc/crewAI |  | Framework for orchestrating role-playing agents | Role-based, collaborative intelligence |
| pydantic/pydantic-ai |  | GenAI Agent Framework | Type-safe, Pydantic integration |
| i-am-bee/beeai-framework |  | Production-ready AI agents | Python & TypeScript |
| VoltAgent/voltagent |  | TypeScript AI Agent Framework | TypeScript-first |
| alibaba/spring-ai-alibaba |  | Agentic AI Framework for Java | Spring AI integration |
| Framework | Stars | Description |
|---|---|---|
| langchain-ai/langchainjs |  | JavaScript version of LangChain |
| openai/openai-agents-python |  | OpenAI's multi-agent workflow framework |
| Framework | Stars | Description |
|---|---|---|
| SciSharp/BotSharp |  | AI Multi-Agent Framework in .NET |
Frameworks and systems for coordinating multiple AI agents to work together.
| Project | Stars | Description |
|---|---|---|
| FoundationAgents/MetaGPT |  | Multi-Agent Framework - AI Software Company |
| agent0ai/agent-zero |  | Agent Zero AI framework |
| microsoft/agent-framework |  | Build, orchestrate and deploy AI agents |
| TransformerOptimus/SuperAGI |  | Build, manage, and run autonomous agents |
| eosphoros-ai/DB-GPT |  | AI Native Data App with AWEL |
Standardized protocols for agent-to-agent communication and tool integration.
| Protocol | Description |
|---|---|
| A2A (Agent-to-Agent) | Google's protocol for agent interoperability |
| AG-UI | Protocol for agent-user interfaces |
| Protocol | Description |
|---|---|
| Model Context Protocol (MCP) | Standard for connecting AI models to external tools |
| OpenAI Function Calling | OpenAI's tool calling specification |
Systems for maintaining long-term memory and context in agent applications.
| Database | Stars | Description |
|---|---|---|
| milvus-io/milvus |  | Vector database for AI applications |
| qdrant/qdrant |  | High-performance vector similarity search |
| weaviate/weaviate |  | Open-source vector search engine |
| chroma-core/chroma |  | Open-source embedding database |
| lancedb/lancedb |  | Vector database for AI with advanced filtering |
| Framework | Stars | Description |
|---|---|---|
| mem0ai/mem0 |  | Long-term memory for AI agents |
| langchain-ai/langsmith |  | LangChain's observability platform |
MCP servers and tool libraries for extending agent capabilities.
| Server | Description |
|---|---|
| modelcontextprotocol/servers | Official MCP server implementations |
| cloudflare/mcp-server-cloudflare | Cloudflare MCP server |
| anthropics/mcp-server-filesystem | File system access MCP server |
| Library | Stars | Description |
|---|---|---|
| run-llama/llama_index |  | Data framework for LLM applications |
Tools for monitoring, tracing, and evaluating agent performance.
| Platform | Stars | Description |
|---|---|---|
| Arize-ai/phoenix |  | Open-source LLM tracing & evaluation |
| langfuse/langfuse |  | Open source LLM engineering platform |
| Helicone/helicone |  | Open-source LLM observability |
| traceloop/openllmetry |  | OpenTelemetry-based LLM observability |
| agentops/agentops |  | AI agent monitoring and evaluation |
| raga-ai-hub/RagaAI-Catalyst |  | Agent AI observability & monitoring |
| Framework | Stars | Description |
|---|---|---|
| promptfoo/promptfoo |  | Test prompts, agents, RAGs |
| braintrustdata/braintrust |  | Evaluate and test LLM applications |
Platforms and tools for deploying and serving AI agents.
| Platform | Stars | Description |
|---|---|---|
| streamlit/streamlit |  | Rapid agent UI deployment |
| gradio-app/gradio |  | Build ML demos and agent interfaces |
| chainlit/chainlit |  | Chat UI for AI agents |
| flowiseai/flowise |  | Drag & drop LLM apps builder |
| logspace-ai/langflow |  | Visual framework for LangChain |
| Platform | Stars | Description |
|---|---|---|
| vllm-project/vllm |  | High-throughput LLM serving |
| sgl-project/sglang |  | High-performance LLM serving |
| BerriAI/litellm |  | Unified API for 100+ LLMs |
Documentation, tutorials, and guides for building agentic AI systems.
Contributions are welcome! Please read the CONTRIBUTING.md file for guidelines.
CC0 1.0 Universal - Free and open source.
Selected from shared topics, language and repository description—not editorial ratings.
vivy-yi /
⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows.
