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billy12151/memory-arbiter-mcp

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Shared memory layer for AI coding tools. One local SQLite DB, every tool reads the same verified facts. Local-first, zero cloud.

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billy12151/memory-arbiter-mcp

Added 3 Sept 2026

#ai-memory#claude-code#codex#context-engine#cursor#llm-context#local-first#mcp
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Shared memory layer for AI coding tools. Uses one local SQLite database so every tool reads the same verified facts. Local-first with zero cloud dependencies.

Best for

Best for
Developers who want a local shared fact store across several AI coding tools.

Use cases

  • Share a single source of facts across multiple AI coding assistants
  • Keep tool memory consistent without cloud services
  • Store and retrieve verified context locally during development

How to use

Install

pip install memory-arbiter-mcp

Tools exposed

  • db_path
  • backup_jsonl
  • policy_path
  • include_size

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, Continue

Notes

7 stars on GitHub. Last updated 2026-09-02. Licensed Apache-2.0.

Pros

  • Local-first design keeps data on your machine
  • Simple SQLite storage is easy to inspect and back up
  • One shared database avoids fragmented tool memory

Cons

  • Very low adoption with only 7 GitHub stars
  • SQLite may become a bottleneck for concurrent high-volume writes
  • Fact verification process is not explained in the available description

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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