code-review-graph vs DBX
Side-by-side comparison of two AI agent tools
Short answer
- DBX is growing faster: +11,030 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 DBX for: 25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server.
From GitHub data refreshed daily.
c
code-review-graphopen-source
Local code knowledge graph serving compact review context to AI coding tools over MCP
D
DBXopen-source
25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server
Metrics
| code-review-graph | DBX | |
|---|---|---|
| Stars | 31.9k | 24.2k |
| Star velocity /mo | 220 | 11.0k |
| Commits (90d) | 665 | 4.8k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.7208179595910345 | 0.9464688572947592 |
FAQ
- Which is more popular, code-review-graph or DBX?
- code-review-graph has more GitHub stars (31,898 vs 24,178).
- Which is more actively developed, code-review-graph or DBX?
- DBX had more commits in the last 90 days (4,839 vs 665).
- Should I use code-review-graph or DBX?
- 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.