langgraph/docs/docs/agents/prebuilt.md

Community Agents

If you’re looking for other prebuilt libraries, explore the community-built options below. These libraries can extend LangGraph's functionality in various ways.

📚 Available Libraries

:::python

Name	GitHub URL	Description	Weekly Downloads	Stars
trustcall	https://github.com/hinthornw/trustcall	Tenacious tool calling built on LangGraph.	-12345
breeze-agent	https://github.com/andrestorres123/breeze-agent	A streamlined research system built inspired on STORM and built on LangGraph.	-12345
langgraph-supervisor	https://github.com/langchain-ai/langgraph-supervisor-py	Build supervisor multi-agent systems with LangGraph.	-12345
langmem	https://github.com/langchain-ai/langmem	Build agents that learn and adapt from interactions over time.	-12345
langchain-mcp-adapters	https://github.com/langchain-ai/langchain-mcp-adapters	Make Anthropic Model Context Protocol (MCP) tools compatible with LangGraph agents.	-12345
open-deep-research	https://github.com/langchain-ai/open_deep_research	Open source assistant for iterative web research and report writing.	-12345
langgraph-swarm	https://github.com/langchain-ai/langgraph-swarm-py	Build swarm-style multi-agent systems using LangGraph.	-12345
delve-taxonomy-generator	https://github.com/andrestorres123/delve	A taxonomy generator for unstructured data	-12345
nodeology	https://github.com/xyin-anl/Nodeology	Enable researcher to build scientific workflows easily with simplified interface.	-12345
langgraph-bigtool	https://github.com/langchain-ai/langgraph-bigtool	Build LangGraph agents with large numbers of tools.	-12345
ai-data-science-team	https://github.com/business-science/ai-data-science-team	An AI-powered data science team of agents to help you perform common data science tasks 10X faster.	-12345
langgraph-reflection	https://github.com/langchain-ai/langgraph-reflection	LangGraph agent that runs a reflection step.	-12345
langgraph-codeact	https://github.com/langchain-ai/langgraph-codeact	LangGraph implementation of CodeAct agent that generates and executes code instead of tool calling.	-12345

✨ Contributing Your Library

Have you built an awesome open-source library using LangGraph? We'd love to feature your project on the official LangGraph documentation pages! 🏆

To share your project, simply open a Pull Request adding an entry for your package in our packages.yml file.

Guidelines

• Your repo must be distributed as an installable package on PyPI 📦
• The repo should either use the Graph API (exposing a StateGraph instance) or the Functional API (exposing an entrypoint).
• The package must include documentation (e.g., a README.md or docs site) explaining how to use it.

We'll review your contribution and merge it in!

Thanks for contributing! 🚀 :::

:::js

Name	GitHub URL	Description	Weekly Downloads	Stars
@langchain/mcp-adapters	https://github.com/langchain-ai/langchainjs	Make Anthropic Model Context Protocol (MCP) tools compatible with LangGraph agents.	-12345
@langchain/langgraph-supervisor	https://github.com/langchain-ai/langgraphjs/tree/main/libs/langgraph-supervisor	Build supervisor multi-agent systems with LangGraph	-12345
@langchain/langgraph-swarm	https://github.com/langchain-ai/langgraphjs/tree/main/libs/langgraph-swarm	Build multi-agent swarms with LangGraph	-12345
@langchain/langgraph-cua	https://github.com/langchain-ai/langgraphjs/tree/main/libs/langgraph-cua	Build computer use agents with LangGraph	-12345

✨ Contributing Your Library

Have you built an awesome open-source library using LangGraph? We'd love to feature your project on the official LangGraph documentation pages! 🏆

To share your project, simply open a Pull Request adding an entry for your package in our packages.yml file.

Guidelines

• Your repo must be distributed as an installable package on npm 📦
• The repo should either use the Graph API (exposing a StateGraph instance) or the Functional API (exposing an entrypoint).
• The package must include documentation (e.g., a README.md or docs site) explaining how to use it.

We'll review your contribution and merge it in!

Thanks for contributing! 🚀 :::