Engineeringv1
Vector Memory System
by Charles Howard

Description
A real, working ChromaDB-backed semantic memory system. Not just documentation - actual Python code you can use immediately. What it does: Semantic search across your agent knowledge Add memories with automatic embeddings Metadata filtering and tagging Persistent storage that survives restarts CLI interface + Python API Why it matters: Most AI memory is keyword-based.
- ChromaDB-backed semantic memory for AI agents - real working code
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Version History
v1
Feb 26, 2026
- Initial release - working ChromaDB-backed vector memory with CLI and Python API
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