Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly developers integrating through an API and command-line workflows β source available on GitHub.
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AI Coding / Catalogue record

Catalogue record
github.com
π π π π§ - Persistent, self-evolving memory plugin for Claude Code. Background miner extracts durable lessons (decisions, conventions, bug fi...
Field notes
π π π π§ - Persistent, self-evolving memory plugin for Claude Code. Background miner extracts durable lessons (decisions, conventions, bug fixes) from completed sessions via Claude Haiku, stores them as human-readable markdown in an Obsidian vault, and assembles query-tailored context briefings at session start. Local-first, no cloud, no API keys. Self-healing install via uv bootstrap shim, /cortex-doctor preflight, graceful FTS-only degraded mode when claude CLI missing. MIT.
Best for
Developers using AI assistance for code generation, review and refactoring, particularly developers integrating through an API and command-line workflows β 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 developers integrating through an API and command-line workflows β 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 / TT-Wang/cortex-plugin
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