Codanna provides 'X-ray vision' for AI code assistants, enabling them to understand code structure, trace relationships, and find implementations with precision. It facilitates context-first coding, eliminating the need for manual searching and speeding up R&D and pair programming workflows.

Is codanna open source?

Yes, licensed under Apache-2.0.

codanna: 'X-ray vision' for AI code assistants, enabling them to understand code … (★ 740, Apache-2.0)

Features

01Semantic Search: Natural language queries against code and documentation.

02Relationship Tracking: Generate call graphs, find implementations, and analyze dependencies.

03Document Search (RAG): Index markdown and text files for RAG workflows alongside code.

04MCP Protocol Integration: Native integration with Claude, Gemini, Codex, and other AI assistants.

Why choose it

+Semantic Search: Natural language queries against code and documentation.

+Instantly find where a function is called and trace its call graph.

+Covers 9 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Rust

Built With

Verified via docs

Claude

AI Model

Verified via docs

Google Gemini

AI Model

Verified via docs

OpenAI Codex

AI Model

Verified via docs

Multiple Programming Languages

Code Analysis Target

Verified via docs

macOS

Operating System

Verified via docs

Quick start

$ curl -fsSL --proto '=https' --tlsv1.2 https://install.codanna.sh | sh

Use cases

↳Instantly find where a function is called and trace its call graph.

↳Semantically search for specific logic like 'authentication flow' based on intent, not just keywords.

↳Analyze full dependencies to understand the impact of code changes.

↳Query project documentation (RAG) alongside code for comprehensive context.

↳Accelerate rapid R&D and pair programming by providing instant, structured code understanding.

How it compares

≈codanna sits in the Code Assistant category, so it makes more sense to evaluate it alongside tools like Context7 instead of in isolation.

≈If your main need is closer to "Instantly find where a function is called and trace its call graph.", that use case is a better lens for comparison than broad feature checklists alone.

≈codanna uses a Apache-2.0 license, and community traction are both easier to judge in category context.