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michielinksee/linksee-memory

by Various

Local-first agent memory MCP - cross-agent brain with token-saving file diff cache. By Synapse Arrows.

M

MCP

michielinksee/linksee-memory

Added 13 July 2026

#agent-memory #ai-agents #claude #claude-code #codex #cursor #developer-tools #local-first

Overview

A local-first agent memory MCP that provides a cross-agent brain with a token-saving file diff cache. It is built by Synapse Arrows and written in JavaScript. The tool enables shared memory across multiple AI agents while reducing token usage through diff caching.

Best for

Best for
Developers building multi-agent systems that need local, cost-efficient shared memory

Use cases

  • Share memory across multiple AI agents in a local environment
  • Reduce token consumption by caching file diffs between agent interactions
  • Run agent memory entirely offline without cloud dependencies

How to use

Install

npx -y linksee-memory map where README.md   # this file belongs to the README node — and what it touches

Tools exposed

  • Cross-agent
  • read_smart
  • drift_status
  • check_decision
  • declare_anchor
  • resolve_drift
  • where_am_i
  • flag_proposals
  • resolve_proposal
  • anon_id
  • linksee_version
  • session_turn_count
  • session_duration_sec
  • mcp_servers
  • file_extensions

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT

Notes

A local-first agent memory MCP that provides a cross-agent brain with a token-saving file diff cache. It is built by Synapse Arrows and written in JavaScript. The tool enables shared memory across multiple AI agents while reducing token usage through diff caching.

13 stars on GitHub. Last updated 2026-07-02. Licensed MIT.

Use cases

  • Share memory across multiple AI agents in a local environment
  • Reduce token consumption by caching file diffs between agent interactions
  • Run agent memory entirely offline without cloud dependencies

Pros

  • Local-first design ensures privacy and offline capability
  • Token-saving file diff cache reduces API costs
  • Enables cross-agent memory sharing for multi-agent systems

Cons

  • Small community with only 13 GitHub stars indicates limited adoption
  • May lack extensive documentation or support for complex setups
  • Early stage project with potential stability or compatibility issues

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Local-first design ensures privacy and offline capability
  • Token-saving file diff cache reduces API costs
  • Enables cross-agent memory sharing for multi-agent systems

Cons

  • Small community with only 13 GitHub stars indicates limited adoption
  • May lack extensive documentation or support for complex setups
  • Early stage project with potential stability or compatibility issues
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