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Show HN: ChunkHound, a local-first tool for understanding large codebases

https://github.com/chunkhound/chunkhound
37•NadavBenItzhak•3h ago
ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more).

I’d love your feedback — and if you have, thank you for being part of the journey!

Comments

dogman123•1h ago
Is there a way to have the model inside of codex to make use of chunkhound instead of its “built in” search/explore functionality with rg? Whenever I spin up a new agent using xhigh thinking it spins its wheels for a while to get up to speed — wondering if chunkhound can make this process faster.
Neywiny•52m ago
Might give this a try to experiment if it's really free to use (I'll have to read up on that I guess). The qemu codebase is huge and every contributer seems to solve problems in slightly different ways. Would be nice if this tool could help distill it.
dcreater•25m ago
you say "local-first" but have placed voyage API for embeddings as the default (had to go to the website and dig to find that you can infact use local embedding models). Please fix
bravura•19m ago
Can you please expose the functionality as a self-documenting CLI command with machine readable output? (Or did I misunderstand that MCP isn't the only way to use it?)

I am curious to try it but do not want to adopt MCP servers.

Telling Claude to call the CLI tool is more efficient.

dcreater•16m ago
Agree. And to make the CLI usage more effective/efficient, if you can publish a skill that would be excellent

Show HN: ChunkHound, a local-first tool for understanding large codebases

https://github.com/chunkhound/chunkhound
37•NadavBenItzhak•3h ago•5 comments

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