Chunkhound

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Chunkhound is a local-first codebase intelligence tool that helps in researching codebases. It extracts architecture, patterns, and institutional knowledge to enable multi-hop semantic search.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is chunkhound?

Chunkhound is designed as a local-first codebase intelligence tool, focusing on helping developers and researchers understand complex codebases. It achieves this by extracting key architectural patterns, identifying recurring code structures, and capturing institutional knowledge embedded within the code. The tool integrates using MCP and employs a cAST algorithm for semantic code chunking, which allows for a deeper understanding of code segments. A core feature is its multi-hop semantic search capability, enabling users to discover and navigate interconnected relationships within the codebase.

Best used for

Understanding and researching complex codebases by extracting architecture, patterns, and institutional knowledge through semantic search.

Common actions

Understand codebases

Analyze code architecture

Discover code patterns

Search code semantically

Extract institutional knowledge

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Capabilities

Key features

Local-first codebase intelligence
Extracts architecture & patterns
Semantic code chunking
Multi-hop semantic search

Target Audience

DevelopersSoftware EngineersCodebase ResearchersArchitects

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

How does Chunkhound handle proprietary or sensitive codebases given its 'local-first' design?

Chunkhound's local-first architecture means all code processing and data storage occur entirely on your local machine. No code or extracted intelligence leaves your environment, ensuring maximum privacy and security for proprietary or sensitive projects.

What kind of codebases or programming languages does Chunkhound primarily support for its semantic chunking and analysis?

While the description mentions a 'cAST algorithm' for semantic chunking, specific language support isn't detailed. Users should verify if their primary development languages (e.g., Python, Java, C++, JavaScript) are fully supported for optimal architectural extraction and pattern identification.

Can Chunkhound integrate with existing IDEs or version control systems like Git for a more streamlined workflow?

The description highlights integration using 'MCP' but doesn't specify direct IDE or VCS integrations. Users would need to check if Chunkhound offers plugins for popular IDEs or hooks into Git workflows for automated analysis on new commits or branches.

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