Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 24 Oct 2026, 2 days before this check.
Latest release v1.6.2 on 3 Oct 2026.
Public since January 2026, 9 months.
75,369 stars and 4,941 forks.
912 commits and 320 new issues in the last 90 days.
51 contributors. 739 pull requests merged in 90 days.
No security policy file says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This tool builds a map of your entire codebase so AI programming assistants can understand it instantly. Instead of searching through dozens of files one by one, your assistant gets the exact code it needs in a single step. It runs entirely on your own computer and needs no cloud connection. You install it once, and it updates itself automatically as you edit files.
What it is
A local knowledge graph and Model Context Protocol server powered by a native Rust engine. It indexes symbols, call paths, and dependencies across twenty programming languages to speed up AI coding agents.
What it is good for
Solo developers using AI assistants who want faster answers, fewer token charges, and accurate code exploration without manual file searching.
- Dramatically reduces AI token usage and tool calls during code queries.
- Automatically watches your files and keeps the graph up to date as you save.
- Supports a wide range of popular programming languages and AI coding assistants.
- Setup requires configuring command-line tools and your specific AI editor.
- Retains a larger persistent context in your editor session, which can crowd small windows.
- Heavy initial indexing phase on very large repositories.
Manual file grepping and slow multi-file reading by AI assistants
Cursor
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curl -fsSL https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.sh | sh codegraph install cd your-project codegraph init