codebase-memory-mcp vs Context7 Platform
Side-by-side comparison of two AI agent tools
Short answer
- codebase-memory-mcp is growing faster: +1,725 GitHub stars in the last 30 days vs +540 for Context7 Platform.
- Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP. Pick Context7 Platform for: context7 Platform -- Up-to-date code documentation for LLMs and AI code editors.
From GitHub data refreshed daily.
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codebase-memory-mcpopen-source
MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP
C
Context7 Platformopen-source
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Metrics
| codebase-memory-mcp | Context7 Platform | |
|---|---|---|
| Stars | 45.7k | 62.6k |
| Star velocity /mo | 1.7k | 540 |
| Commits (90d) | 2.1k | 117 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.906371149690189 | 0.7741820197915419 |
FAQ
- Which is more popular, codebase-memory-mcp or Context7 Platform?
- Context7 Platform has more GitHub stars (62,602 vs 45,666).
- Which is more actively developed, codebase-memory-mcp or Context7 Platform?
- codebase-memory-mcp had more commits in the last 90 days (2,093 vs 117).
- Should I use codebase-memory-mcp or Context7 Platform?
- 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.