code-review-graph vs serena
Side-by-side comparison of two AI agent tools
Short answer
- serena is growing faster: +380 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 serena for: a powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE.
From GitHub data refreshed daily.
c
code-review-graphopen-source
Local code knowledge graph serving compact review context to AI coding tools over MCP
s
serenaopen-source
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Metrics
| code-review-graph | serena | |
|---|---|---|
| Stars | 31.9k | 30.0k |
| Star velocity /mo | 220 | 380 |
| Commits (90d) | 665 | 394 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 297.0K | 145.2K |
| Overall score | 0.7208179595910345 | 0.773024478061336 |
FAQ
- Which is more popular, code-review-graph or serena?
- code-review-graph has more GitHub stars (31,898 vs 29,955).
- Which is more actively developed, code-review-graph or serena?
- code-review-graph had more commits in the last 90 days (665 vs 394).
- Should I use code-review-graph or serena?
- 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.