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

Catalogue record
github.com
π π π πͺ π§ - Codebase memory for coding agents, with no embeddings and no API key. A deterministic AST index answers "which files are relevan...
Field notes
π π π πͺ π§ - Codebase memory for coding agents, with no embeddings and no API key. A deterministic AST index answers "which files are relevant to this task?" in milliseconds, and agents write durable notes about the repo that are content-hash checked β a note flags itself stale the moment the code it describes changes. Notes are markdown inside the repo, so they commit and review alongside your code. npm i -g @cstart/coldstart && coldstart init
Best for
Developers using AI assistance for code generation, review and refactoring, particularly RAG and vector search, developers integrating through an API 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 RAG and vector search, developers integrating through an API 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 / AkashGoenka/coldstart
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Evidence-bound answers from this catalogue record. No workspace data is used.
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Record provenance
Oryxen distinguishes catalogue metadata from repository context. These signals describe the directory record and its sources; they do not guarantee the current availability, security, or suitability of an external product.
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