{
   "name": "pgmnemo",
   "abstract": "Provenance-gated, vector-hybrid memory for LLM agents in PostgreSQL",
   "description": "pgmnemo adds a first-class memory layer to PostgreSQL for LLM-based agents. Every ingest() call requires a commit_sha or artifact_hash provenance token; rows without provenance are blocked or warned. Hybrid recall combines cosine similarity (HNSW via pgvector), BM25 full-text search, recency decay, and importance weighting in a single SQL call. Includes RLS-based multi-tenant isolation, causal-chain traversal, temporal windowed recall, and graph-proximity scoring.",
   "version": "0.3.1",
   "date": "2026-05-13T10:48:10Z",
   "maintainer": [
      "Alex Gaydabura <asistentgaidaburas@gmail.com>"
   ],
   "release_status": "stable",
   "user": "GAIDABURA",
   "sha1": "ebe0ae96571cecdd08107e50ff411d60e76562d6",
   "license": "apache_2_0",
   "prereqs": {
      "build": {
         "requires": {
            "pg_config": 0
         }
      },
      "runtime": {
         "requires": {
            "PostgreSQL": "14.0.0",
            "vector": "0.7.0"
         }
      }
   },
   "provides": {
      "pgmnemo": {
         "abstract": "Provenance-gated, vector-hybrid memory for LLM agents in PostgreSQL",
         "docfile": "README.md",
         "file": "extension/pgmnemo--0.3.1.sql",
         "version": "0.3.1"
      }
   },
   "tags": ["memory", "agent", "agents", "llm", "vector", "pgvector", "provenance", "rag", "graph", "multi-tenant", "hnsw", "recall"],
   "resources": {
      "bugtracker": {
         "web": "https://github.com/pgmnemo/pgmnemo/issues"
      },
      "homepage": "https://github.com/pgmnemo/pgmnemo",
      "repository": {
         "type": "git",
         "url": "https://github.com/pgmnemo/pgmnemo.git",
         "web": "https://github.com/pgmnemo/pgmnemo"
      }
   }
}