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Index

Index

Semantic search pinned to your dependency versions

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AI coding assistants hallucinate APIs. They suggest deprecated methods, wrong signatures, or functions that don't exist—because their training data is stale. Index fixes this. It indexes your actual dependencies locally, creating a semantic search layer over every function, class, and type. Ask natural questions like "how do I stream responses" and get the exact method with current signatures and docs. Ships as a CLI and MCP server. Point Claude Code at it and watch hallucinations disappear.
Index gallery image
Index gallery image
Index gallery image
Free
Launch tags:Developer Tools•Artificial Intelligence•GitHub
Launch Team / Built With
Anima - Vibe Coding for Product Teams
Build websites and apps with AI that understands design.
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What do you think? …

Kyle Sandell
Acrylic
Maker
📌
Hey PH! I built Index to solve a friction point I kept hitting with AI coding assistants. When you're working with libraries that have sparse documentation, recent API changes, or just weren't well-represented in training data—AI assistants struggle. They'll suggest methods that don't exist in your version, or miss the idiomatic patterns entirely. The fix: let the AI search your actual dependency source before writing code. Index parses your dependencies (npm, pip, cargo), builds a local semantic index, and exposes it via MCP. Now when Claude Code needs to use a library, it searches the index first and gets real function signatures from your exact installed version. Works especially well for newer libraries, niche packages, or anything with fast-moving APIs. Curious what libraries give your AI tools the most trouble—would love to hear.