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linklore/linklore-mcp

by Various

MCP server for project memory — AI agents record decisions, pitfalls, and specs as they work, and recall them next session with code context. Built for agents, not humans.

MCP

linklore/linklore-mcp

Added 3 Sept 2026

#ai#ai-agents#ai-native#chatgpt#claude#codex#cursor#grok
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

MCP server that gives AI agents persistent project memory. Agents record decisions, pitfalls, and specs during work, then recall them in later sessions with code context. Written in Python and built for agent-to-agent use rather than human interaction.

Best for

Best for
Developers building agentic coding workflows that need continuity across sessions.

Use cases

  • Record architectural decisions as they are made
  • Retrieve past pitfalls when working in the same codebase
  • Store and recall project specs across agent sessions

How to use

Install

uvx llre init

Clients listed in this record (not verified here)

Claude Code, Cursor, Windsurf

Example client config

{
  "mcpServers": {
    "llre": {
      "command": "uvx",
      "args": [
        "llre"
      ]
    }
  }
}

Notes

1 stars on GitHub. Last updated 2026-08-06.

Pros

  • Persistent memory across sessions
  • Context-aware recall tied to code
  • Open source and language-agnostic via MCP

Cons

  • Very early stage (1 GitHub star)
  • No human-facing interface by design
  • Requires MCP-compatible agent setup
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