code-review-graph vs codebase-memory-mcp
Side-by-side comparison of two AI agent tools
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code-review-graphopen-source
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked contex
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codebase-memory-mcpopen-source
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries
Metrics
| code-review-graph | codebase-memory-mcp | |
|---|---|---|
| Stars | 31.9k | 45.6k |
| Star velocity /mo | 2.7k | 3.8k |
| Commits (90d) | 666 | 2.1k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8261590658155253 | 0.912298123773986 |
FAQ
- Which is more popular, code-review-graph or codebase-memory-mcp?
- codebase-memory-mcp has more GitHub stars (45,551 vs 31,876).
- Which is more actively developed, code-review-graph or codebase-memory-mcp?
- codebase-memory-mcp had more commits in the last 90 days (2,093 vs 666).
- Should I use code-review-graph or codebase-memory-mcp?
- 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.