mikeadolan/claude-brain
Persistent memory for Claude Code. Local SQLite + MCP + hooks.
Platform-specific configuration:
{
"mcpServers": {
"claude-brain": {
"command": "npx",
"args": [
"-y",
"claude-brain"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
[](https://github.com/mikeadolan/claude-brain/actions/workflows/test-setup.yml)
Tested on: macOS, Ubuntu, Windows (automated CI) | Fedora 43 (primary development)
Introducing claude-brain for Claude Code - Your AI finally has a real memory. Not just RAG, RAG and beyond. 100% lossless recall across every session and every project, no silos. Local SQLite. Keyword, semantic, and fuzzy search across everything. Emails you a daily briefing, weekly portfolio, and project status reports - no other tool does this. Zero cloud dependencies. Your data never leaves your machine. Zero token burn. Unlimited potential.
Watch the explainer video: claude-brain in 85 seconds
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Claude Code starts every session from zero. Close the terminal and everything is gone.
Other tools exist, but most use lossy approaches - extracting AI-chosen summaries, discarding context, siloing memories per project. When you need to find exactly what was said three weeks ago across two different projects, those tools fail.
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claude-brain is a RAG system - but that's just one layer. Here's what "beyond" means:
| What | How | |------|-----| | RAG (context injection) | Every prompt gets relevant memories injected automatically - hooks search your history before Claude sees your message | | Full lossless capture | Other tools extract "memories" and throw away the raw data. We keep every word. Nothing su
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