chunkhound
★ 1.5k
vs
codegraph
★ 99
chunkhound vs codegraph
chunkhound: Your AI assistant searches code but doesn't understand it. ChunkHound researches your codebase—extracting architecture, patterns, and institutional knowledge at any scale.; codegraph: Codegraph provides AI coding assistants with an always-current, function-level dependency graph of an entire codebase, built locally and open source. This allows AI to understand code structure instantly, reducing token waste and improving accuracy for complex tasks like refactoring and debugging.
01
TL;DR
chunkhoundCode Assistant · ★ 1.5k
Managing large monorepos with complex cross-team dependencies.
codegraphVision / Multimodal · ★ 99
Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation.
02
Side-by-Side Comparison
Field
chunkhoundcodegraphCategory
Code Assistant
Vision / Multimodal
Stars
★ 1.5k
★ 99
License
MIT
Apache-2.0
Install Command
curl -LsSf https://astral.sh/uv/install.sh | sh && uv tool install chunkhound
npm install -g @optave/codegraph
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
codebase intelligence, semantic search, code analysis
AI Coding Assistant, Code Analysis, Dependency Graph
03
Features
chunkhound01Semantic code chunking via cAST Algorithm for deep understanding.
02Multi-hop semantic search discovers interconnected code relationships.
03Local-first operation ensures your code stays on your machine for privacy.
04Supports structured parsing for over 30 programming and configuration languages.
05Real-time indexing with automatic file watching and smart diffs.
codegraph01Sub-second incremental rebuilds for an always-fresh dependency graph.
02Function-level code analysis, tracing calls and dependencies within and across files.
03Built for AI agents with a 19-tool Model Context Protocol (MCP) server for direct querying.
04Git diff impact analysis to show affected functions and callers from staged or unstaged changes.
05Embeddings-powered local semantic search for natural language queries.
04
Use Cases
chunkhound↳Managing large monorepos with complex cross-team dependencies.
↳Analyzing security-sensitive codebases in a local-only environment.
↳Projects requiring consistent search across multiple programming languages.
↳Development in offline or air-gapped environments.
codegraph↳Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation.
↳Perform impact analysis before code changes, preventing silent bugs and dependency breakage.
↳Identify dead code and classify architectural roles (e.g., entry, core, utility) of symbols.
↳Facilitate semantic search for functions by natural language intent rather than exact names.
↳Detect and visualize circular dependencies at file or function levels to improve code quality.
FAQ
FAQ
What is the difference between chunkhound and codegraph?
Both chunkhound and codegraph are in the Code Assistant category. chunkhound has 1.5k stars, while codegraph has 99 stars.
Which is better, chunkhound or codegraph?
The best choice depends on your use case. Choose chunkhound if Managing large monorepos with complex cross-team dependencies., and codegraph if Improve AI agent's understanding of codebase structure, eliminating repeated re-orientation..
Is chunkhound free or open source?
Yes, chunkhound is open source on GitHub (MIT).
Is codegraph free or open source?
Yes, codegraph is open source on GitHub (Apache-2.0).
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