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daidocs

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% (Claude Fable 5), 10x fewer tokens.

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OVERVIEW

What it does

daidocs provides mcp services capabilities for AI tool integration, agent workflows, and context enrichment. Authentication: See official docs; HTTPS: unknown; CORS: unknown. Check the official documentation for current parameters, limits, and terms.

QUICK START

Get started

Integration guide
1. Open the official documentation: https://github.com/Kerneta/daidocs
2. Authentication: See official docs; configure credentials as documented.
3. Connectivity: HTTPS unknown; CORS unknown.
4. Choose an endpoint for AI tool integration and test it with the official parameter examples.
5. Before launch, confirm rate limits, free-tier terms, data licensing, and the latest API version.

Read the official documentation and protect your credentials before using this in production.

USE CASES

Good fits

01AI tool integration
02agent workflows
03context enrichment
SOURCES

Official documentation and sources

Official docsgithub.com ↗Listing sourcegithub.com ↗
ALTERNATIVES

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