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Auditable memory for agent teams. Self-hosted, deterministic retrieval, no LLM in the critical path. Python + MCP + Docker.

13 starsPython

Memwright – Self-hosted memory for multi-agent teams, no LLM in path

by Bolnet·Apr 15, 2026·3 points·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

No LLM in the critical path — deterministic retrieval beats vector search latency.

Strengths
  • Sub-5ms retrieval claim with SQLite + pgvector + Neo4j hybrid architecture.
  • MCP server integration means agents can query memory without custom glue code.
  • Self-hosted design avoids sending agent state to third-party memory services.
Weaknesses
  • Agent memory is crowded — LangChain, LlamaIndex, and vector DBs already offer similar patterns.
  • Only 2 GitHub stars and 0.1 revision suggests early stage with unproven production use.
Category
Target Audience

Developers building multi-agent AI systems

Similar To

LangChain Memory · LlamaIndex · Zep

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