LangGraph Swarm is an open-source project on GitHub with about 1,582 stars, most recently updated in 2026. LangGraph Swarm is a Python library from LangChain AI for building multi-agent swarm architectures on top of LangGraph. In a swarm, specialized agents hand control to each other based on the conversation, so teams can compose focused agents that collaborate without a central orchestrator routing every step.
Published on GitHub under the MIT license, LangGraph Swarm has attracted a community of about 1,582 stars, which places it among the more visible open-source AI projects in its niche. Development was still active as of 2026, based on the repository’s latest updates. Because the full source code is public, teams can audit how it works, adapt it to their own stack, and self-host it rather than depending on a closed hosted product.
The repository is tagged with topics including agents, langgraph, llms, multiagent, multiagent-systems, which gives a quick picture of where it fits in the open-source AI ecosystem. New users can explore the examples and documentation in the repository to understand the main workflows before integrating it into their own projects, and the public issue tracker shows what the maintainers are actively working on and what the community is asking for.
LangGraph Swarm is MIT-licensed open source and free; costs only arise from the LLM providers your agents call.
LangGraph Swarm is best suited for developers building LangGraph applications who want several specialized agents to collaborate in one conversational system. Anyone evaluating it should start with the GitHub repository, where the documentation, examples and issue tracker show exactly what the current version can do.