Agent Memory (nateshs)
Persistent searchable agent memory using PostgreSQL and pgvector with hybrid semantic and keyword search.
About
Gives AI agents persistent, searchable long-term memory backed by PostgreSQL and pgvector. Supports four memory types (facts, prompts, notes, documents), hybrid vector plus BM25 keyword search, multi-tenant isolation with namespaces, automatic document chunking, TTL-based expiry, and pluggable embedding providers including OpenAI and Ollama.
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