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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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  1. Servers
  2. /Knowledge & Memory
  3. /ccf/agentcairn
Knowledge & MemoryOfficialPython
C

ccf/agentcairn

A cairn marks a trail for whoever comes next. agentcairn does that for coding agents: it captures durable context from the tools you use, stores it as inspectable Markdown with provenance, and recalls only the most relevant pieces when another agent needs them. The memory is not hidden behind an admin console or a hosted database. The separate agentcairn-obsidian companion reads the same Markdown files as the agents and exposes provenance, currency, importance, supersession, and related: links. > Dogfood snapshot · 2026-07-15. Across 417 local recalls, the maintainer's vault returned context about 262× smaller than loading the full vault each time—an estimated 136.6M tokens of full-vault context avoided in aggregate. Token counts use approximately four characters per token. This is not billed-token savings, and agentcairn sends no telemetry.

0 starsUpdated Aug 30, 2026
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Overview

A cairn marks a trail for whoever comes next. agentcairn does that for coding agents: it captures durable context from the tools you use, stores it as inspectable Markdown with provenance, and recalls only the most relevant pieces when another agent needs them. The memory is not hidden behind an admin console or a hosted database. The separate agentcairn-obsidian companion reads the same Markdown files as the agents and exposes provenance, currency, importance, supersession, and related: links. > Dogfood snapshot · 2026-07-15. Across 417 local recalls, the maintainer's vault returned context about 262× smaller than loading the full vault each time—an estimated 136.6M tokens of full-vault context avoided in aggregate. Token counts use approximately four characters per token. This is not billed-token savings, and agentcairn sends no telemetry.

Capabilities

  • recall

    Recall relevant context across agents — Ask your AI to retrieve durable facts from the shared Markdown vault using `recall` or the `/agentcairn:recall` command.

  • remember

    Save durable memories — Instruct your AI to write a fact as a Markdown note with provenance via `remember` or `/agentcairn:remember`, making it immediately recallable.

  • Import Claude Code memory

    Seed the shared vault from an existing `MEMORY.md` without altering the source files using `cairn import claude-memory`.

  • Capture session history out-of-band

    Run `cairn sweep` to redact, deduplicate, and distill supported transcript stores into the vault as a backstop.

  • Inspect memory in Obsidian

    Open the same Markdown vault in the companion plugin to browse notes with provenance, importance, and supersession metadata.

Installation

uvx agentcairn

Configuration

{
  "mcpServers": {
    "agentcairn": {
      "command": "uvx",
      "args": [
        "--version"
      ]
    }
  }
}
Add to Cursor

Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • memory
  • knowledge-retrieval
  • rag
  • vector-search
  • notes
  • awesome-list

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