agentsync-mcp is an open-source Python package for decentralized coordination among AI agents. It enables agents to claim work, survey peers, detect conflicts, and reconcile changes using the Model Context Protocol (MCP) and git branch operations. Ideal for developers building distributed agent systems.
agentsync-mcp is a Multi-agent & orchestration project. It focuses on coordinating work and resolving conflicts among decentralized AI agents using a standardized protocol. It is built as an open-source project for AI agent developers. agentsync-mcp is open source under the PolyForm-Noncommercial-1.0.0 license. agentsync-mcp is available on the command line.
Behind agentsync-mcp is jarmstrong158, and it first shipped in 2026. The project is developed in the open on GitHub with 16 commits in the last 90 days. Key capabilities include multi-agent coordination, conflict detection, and peer survey. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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