Schäfer Services Launches Synapse, an Open-Source Shared Memory Layer for AI Agents

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Developer Michael Schäfer at Schäfer Services has built and open-sourced Synapse, a shared memory and communication API designed to give AI agents persistent recall across sessions. The system addresses a core limitation of AI agents — losing all context once a session ends — by storing and retrieving memories using semantic search. Synapse also includes a real-time agent-to-agent messaging system via MQTT, allowing multiple agents to coordinate and delegate tasks without interfering with each other's memory. Three AI agents — Atlas, Elara, and Argus — have been running on the system in production for several weeks, waking on scheduled intervals and recovering full context each time. The project is available on GitHub under Schaefer-Services/synapse and also functions as an MCP-compatible server via the npm package synapse-mcp-api.

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