daidocs

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daidocs is an MCP server by Kerneta. Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP server + hooks for Claude Code, Claude Desktop, Cursor, Windsurf, Codex. 83% LongMemEval-S (GPT-4o), 92%. It has 53 GitHub stars and ranks #536 of 1287 in Memory & Knowledge by stars.

Category
Memory & Knowledge
Author
Kerneta
GitHub stars
53
This week
Tracking since 18 Oct 2026
Language
Python
License
Apache-2.0 (open source)
Last update
2026-10-07 (17 days ago)
Links
SourceWebsite

How to install daidocs

Install steps differ per project, so follow the README in the daidocs repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

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Frequently asked questions

What is daidocs?

daidocs is an MCP server by Kerneta in the Memory & Knowledge category. Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP server +... It has 53 GitHub stars and ranks #536 of 1287 in Memory & Knowledge by stars.

Is daidocs free and open source?

Yes. daidocs is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to daidocs?

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