{
   "name": "pgmnemo",
   "abstract": "Single-plan multimodal agent memory for PostgreSQL — token-budget navigation, provenance-gated writes, outcome-learning",
   "description": "pgmnemo is a PostgreSQL extension that fuses HNSW vector search (pgvector), BM25 full-text, graph-edge proximity, and JSONB metadata filtering into one SQL query plan inside your existing database. No new service, no data egress, no LLM cost per write. Features: provenance-gated writes (enforce/warn/off), token-economy navigation (navigate_locate + navigate_expand), outcome-learning (reinforce/confidence), bitemporal point-in-time recall, ACID in-place embedding updates, and multi-tenant RLS. Apache-2.0.",
   "version": "0.8.3",
   "date": "2026-06-05T10:50:06Z",
   "maintainer": [
      "Alex Gaydabura <asistentgaidaburas@gmail.com>"
   ],
   "release_status": "stable",
   "user": "GAIDABURA",
   "sha1": "43863067d2adcf3c4ac5b48b54e35203366d8d77",
   "license": "apache_2_0",
   "prereqs": {
      "build": {
         "requires": {
            "pg_config": 0
         }
      },
      "runtime": {
         "requires": {
            "PostgreSQL": "14.0.0",
            "vector": "0.7.0"
         }
      }
   },
   "provides": {
      "pgmnemo": {
         "abstract": "Single-plan multimodal agent memory for PostgreSQL — token-budget navigation, provenance-gated writes, outcome-learning",
         "docfile": "README.md",
         "file": "extension/pgmnemo--0.8.3.sql",
         "version": "0.8.3"
      }
   },
   "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"
      }
   }
}