code-review-graph vs codebase-memory-mcp
Side-by-side comparison of two AI agent tools
Short answer
- codebase-memory-mcp is growing faster: +1,470 GitHub stars in the last 30 days vs +210 for code-review-graph.
- Pick code-review-graph for: local code knowledge graph serving compact review context to AI coding tools over MCP. Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP.
From GitHub data refreshed daily.
c
code-review-graphopen-source
Local code knowledge graph serving compact review context to AI coding tools over MCP
c
codebase-memory-mcpopen-source
MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP
Metrics
| code-review-graph | codebase-memory-mcp | |
|---|---|---|
| Stars | 31.9k | 45.6k |
| Star velocity /mo | 210 | 1.5k |
| Commits (90d) | 665 | 2.1k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.7424971148045617 | 0.9054235547012244 |
FAQ
- Which is more popular, code-review-graph or codebase-memory-mcp?
- codebase-memory-mcp has more GitHub stars (45,600 vs 31,883).
- Which is more actively developed, code-review-graph or codebase-memory-mcp?
- codebase-memory-mcp had more commits in the last 90 days (2,148 vs 665).
- 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.