Cairntir

Created By

pnmcguire4803 months ago

Verbatim persistent memory for LLM sessions. Kills cross-chat amnesia. MIT, local-first.

Overview

Cairntir

Memory-first reasoning layer for Claude Code and every other MCP client. Cairntir kills cross-chat AI amnesia — the thing where you open a fresh session and the model has forgotten every decision, trade-off, and hard-won lesson from yesterday.

What makes Cairntir different

Verbatim storage — nothing is summarized away. What the model wrote down, you can read back word for word, six months later.
Prediction-bound drawers — every claim carries a predicted outcome, observed outcome, delta, and supersedes link. Memory becomes an experiment journal, not a diary.
Belief-as-distribution retrieval — successful uses raise a drawer's mass, dead retrievals lower it.
Portable signed format — content-addressed, HMAC-signed, gossip-importable across USB, git, or any substrate.

Install

pip install cairntir
cairntir setup

Works with Claude Code, Claude Desktop, Cursor, Windsurf, Zed, and any MCP-compatible client.

Source: https://github.com/pnmcguire480/cairntir
PyPI: https://pypi.org/project/cairntir/
License: MIT
Python 3.11+, cross-platform

Try in Playground

Server Config

{
  "mcpServers": {
    "cairntir": {
      "command": "cairntir-mcp"
    }
  }
}

Project Info

Created At

3 months ago

Updated At

3 months ago

Author Name

pnmcguire480

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