code-review-graph vs OpenSEO
Side-by-side comparison of two AI agent tools
Short answer
- OpenSEO is growing faster: +3,090 GitHub stars in the last 30 days vs +220 for code-review-graph.
- Pick code-review-graph for: local code knowledge graph serving compact review context to AI coding tools over MCP. Pick OpenSEO for: open source alternative to Semrush and Ahrefs.
From GitHub data refreshed daily.
c
code-review-graphopen-source
Local code knowledge graph serving compact review context to AI coding tools over MCP
O
OpenSEOopen-source
Open source alternative to Semrush and Ahrefs
Metrics
| code-review-graph | OpenSEO | |
|---|---|---|
| Stars | 31.9k | 22.2k |
| Star velocity /mo | 220 | 3.1k |
| Commits (90d) | 665 | 358 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.7208179595910345 | 0.8518863028913954 |
FAQ
- Which is more popular, code-review-graph or OpenSEO?
- code-review-graph has more GitHub stars (31,898 vs 22,224).
- Which is more actively developed, code-review-graph or OpenSEO?
- code-review-graph had more commits in the last 90 days (665 vs 358).
- Should I use code-review-graph or OpenSEO?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.