ccf/agentcairn
by Various
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
MCP
ccf/agentcairn
Added 13 July 2026
Overview
Agentcairn is a Python tool that gives AI coding agents long-term, cross-project memory by using an Obsidian vault as the source of truth. It operates without a daemon or opaque databases, keeping memory fully under the user's control.
Best for
Best for
Developers who want transparent, file-based memory for AI coding agents using Obsidian
Use cases
- Persisting agent context across multiple coding sessions
- Sharing memory between different AI coding agents
- Maintaining a human-readable, editable memory store in Obsidian
How to use
Install
uvx agentcairn Tested with
Claude Code, Codex, Cursor
Example client config
auto_recall = true\nauto_recall_k = 3\nauto_recall_scope = "project" Notes
Agentcairn is a Python tool that gives AI coding agents long-term, cross-project memory by using an Obsidian vault as the source of truth. It operates without a daemon or opaque databases, keeping memory fully under the user’s control.
16 stars on GitHub. Last updated 2026-07-13. Licensed Apache-2.0.
Use cases
- Persisting agent context across multiple coding sessions
- Sharing memory between different AI coding agents
- Maintaining a human-readable, editable memory store in Obsidian
Pros
- Memory is stored in plain Markdown files, not a proprietary database
- No background daemon required, reducing complexity
- Cross-project memory helps agents retain context over time
Cons
- Requires an Obsidian vault, adding a dependency
- Limited to Python-based agent workflows
- Small community (16 stars) may mean less support and fewer integrations
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Memory is stored in plain Markdown files, not a proprietary database
- No background daemon required, reducing complexity
- Cross-project memory helps agents retain context over time
Cons
- Requires an Obsidian vault, adding a dependency
- Limited to Python-based agent workflows
- Small community (16 stars) may mean less support and fewer integrations
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.