head to head · open source
codebase-memory-mcp vs code-review-graph
codebase-memory-mcp has 43,844 GitHub stars, 3,573 forks, 597 open issues and last shipped today. code-review-graph has 31,619 stars, 2,878 forks, 163 open issues and last shipped 2 days ago. codebase-memory-mcp leads on adoption by 39% (43,844 vs 31,619 stars). codebase-memory-mcp is written in C under MIT; code-review-graph is written in Python under MIT. codebase-memory-mcp has attracted 8% as many forks as stars, code-review-graph 9%. codebase-memory-mcp was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude-code), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| codebase-memory-mcp | code-review-graph | |
|---|---|---|
| GitHub stars | ★ 44K | ★ 32K |
| License | MIT | MIT |
| Written in | C | Python |
| Last push | 2026-09-20 | 2026-09-18 |
| Forks | ⑂ 3.6K | ⑂ 2.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick codebase-memory-mcp if
- You weight community size — 44K stars and counting
- You want the MIT license terms
- Your stack matches C
- You value the larger contributor base for long-term maintenance
pick code-review-graph if
- You want the code-review-graph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and code-review-graph fits your workflow better
About codebase-memory-mcp
codebase memory mcp is a high performance code intelligence MCP server, written in C, that indexes a codebase into a persistent knowledge graph so AI coding agents can answer structural questions in under a millisecond, and it is built for developers and teams who run agents such as Cursor, Claude Code, Codex, Gemini CLI, aider, or Kilo Code against large repositories.
read the full codebase-memory-mcp overview →
About code-review-graph
code review graph is a local first code intelligence graph for MCP and the command line that parses a repository with Tree sitter into a persistent map of functions, classes, imports, calls, inheritance and test coverage, so AI coding assistants read only the files a review actually needs; it is aimed at developers and teams running AI coding tools against large repositories where repeated full codebase reads waste tokens.
read the full code-review-graph overview →
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Frequently asked questions
Is codebase-memory-mcp or code-review-graph more popular?
codebase-memory-mcp has 43,844 GitHub stars and code-review-graph has 31,619. codebase-memory-mcp has the larger community by that measure.
Are codebase-memory-mcp and code-review-graph free?
Both are open source. codebase-memory-mcp is licensed under MIT and code-review-graph under MIT. Neither carries a licence fee.
What is the difference between codebase-memory-mcp and code-review-graph?
codebase-memory-mcp is written in C and code-review-graph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, codebase-memory-mcp or code-review-graph?
Choose codebase-memory-mcp if you want the larger community (43,844 stars) or its MIT licence terms. Choose code-review-graph if its feature set, stack or MIT licence fits better. Both are self-hostable.