- Cairntir
Cairntir
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
Server Config
{
"mcpServers": {
"cairntir": {
"command": "cairntir-mcp"
}
}
}Project Info
Created At
a month agoUpdated At
a month agoAuthor Name
pnmcguire480Star
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