head to head · open source
codebase-memory-mcp vs code-review-graph
codebase-memory-mcp has 48,082 GitHub stars, 3,959 forks, 552 open issues and last shipped 2 days ago. code-review-graph has 32,581 stars, 2,965 forks, 163 open issues and last shipped 7 days ago. codebase-memory-mcp leads on adoption by 48% (48,082 vs 32,581 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 | ★ 48K | ★ 33K |
| License | MIT | MIT |
| Written in | C | Python |
| Last push | 2026-11-03 | 2026-10-29 |
| Forks | ⑂ 4.0K | ⑂ 3.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick codebase-memory-mcp if
- You weight community size — 48K 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: local code intelligence for AI agents via MCP Understand your repository, from source code to the systems around it. codebase memory mcp is an MCP server that connects code, documentation, configuration, and infrastructure in a persistent local knowledge graph. Use it to find an unfamiliar feature, follow a call across services, trace a deployment back to its source, or assess which parts of a project a change could affect. Give your coding agent structural context through Model Context Protocol (MCP), or query the graph directly from the CLI. The MCP server is the core of the project. Its…
read the full codebase-memory-mcp overview →
About code-review-graph
code review graph Stop burning tokens. Start reviewing smarter. English 简体中文 日本語 한국어 हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re reading large parts of your codebase on review tasks. code review graph fixes that. It builds a structural map of your code with Tree sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. Quick Start One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one…
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 48,082 GitHub stars and code-review-graph has 32,581. 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 (48,082 stars) or its MIT licence terms. Choose code-review-graph if its feature set, stack or MIT licence fits better. Both are self-hostable.