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A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

4 starsPython

Memory Vault – local-first memory, hybrid search, knowledge graph

by mihaibuilds·May 9, 2026·1 point·1 comment

AI Analysis

●●●BangerBig BrainZero to One

Postgres + pgvector + MCP integration solves the AI amnesia problem better than vector DB silos.

Strengths
  • Hybrid semantic and keyword search in a single Postgres instance eliminates vector DB complexity
  • MCP-native integration allows Claude to recall and store memories during any session
  • Knowledge graph baked into the database schema enables relationship tracking between memories
Weaknesses
  • Requires PostgreSQL 16 with pgvector extension, limiting deployment options
  • Knowledge graph visualization needs more sophisticated relationship inference
Category
Target Audience

Developers building AI applications needing persistent context

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