Performance and Robustness Improvements for HiveMind memU#49
Performance and Robustness Improvements for HiveMind memU#49virtuehearts wants to merge 1 commit intomainfrom
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- Add `direction.md` with project assessment and roadmap. - Implement vector similarity search using LanceDB and `@xenova/transformers` in `EmuMemoryLayer`. - Add `/api/query` endpoint for direct memory access. - Refactor `EmuMemoryLayer` and routes to handle asynchronous retrieval. - Fix regressions in EMU import and connection management. Co-authored-by: virtuehearts <17357584+virtuehearts@users.noreply.github.com>
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This submission improves the HiveMind (memU) project by transitioning from keyword-based retrieval to a high-performance vector-first approach using local embeddings. It includes a comprehensive roadmap (
direction.md), a new direct memory query API (/api/query), and several architectural refinements to ensure the system is robust for both the built-in Chat and future API integrations.PR created automatically by Jules for task 11236916182975068513 started by @virtuehearts