Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly database workflows and AI agents that connect over MCP โ source available on GitHub.
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AI Coding / Catalogue record

Catalogue record
github.com
๐ ๐ ๐ ๐ช ๐ง - Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms...
Field notes
๐ ๐ ๐ ๐ช ๐ง - Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy recall, deterministic replayfile, and git-aware recallprojectstatus. Published on PyPI as longhand and registered in the MCP Registry.
Best for
Developers using AI assistance for code generation, review and refactoring, particularly database workflows and AI agents that connect over MCP โ source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
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Evidence summary
Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly database workflows and AI agents that connect over MCP โ source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / Wynelson94/longhand
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