Developer creates multi-format memory tool for AI agent in eight-day sprint
A developer created a memory management solution for the Hermes AI agent to avoid storage limits on a third-party service. The project expanded from a simple plugin to include a standalone runtime, a skill, and an MCP server over eight days in October. The tools were published on PyPI and listed in the official Hermes and MCP directories. The developer built the system using the Qdrant database and a local embedding model to maintain control over accumulated memory data.
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