swarmmesh

Shared context and memory coordination layer for swarms of parallel AI agents. Documented HTTP + WebSocket protocol, interoperable Python and Node CLIs, BM25 keyword memory search, built-in MCP server for agent tool calls.

0 stars PythonOthers Updated Aug 25, 2026

agent-coordinationagent-orchestrationagent-swarmagentic-aiai-agentsbm25climcpmcp-servermodel-context-protocolmulti-agentresearch-agentsshared-contextshared-memorywebsocketpythontypescript

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is swarmmesh?

swarmmesh is Shared context and memory coordination layer for swarms of parallel AI agents. Documented HTTP + WebSocket protocol, interoperable Python and Node CLIs, BM25 keyword memory search, built-in MCP server for agent tool calls.

How do I install swarmmesh?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is swarmmesh open source?

Yes — it is hosted on GitHub at https://github.com/RudrenduPaul/swarmmesh.

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