codebase-memory-mcp vs serena
Side-by-side comparison of two AI agent tools
Short answer
- codebase-memory-mcp is growing faster: +1,620 GitHub stars in the last 30 days vs +380 for serena.
- Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP. Pick serena for: a powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE.
From GitHub data refreshed daily.
c
codebase-memory-mcpopen-source
MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP
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serenaopen-source
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Metrics
| codebase-memory-mcp | serena | |
|---|---|---|
| Stars | 45.7k | 30.0k |
| Star velocity /mo | 1.6k | 380 |
| Commits (90d) | 2.0k | 394 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 70.9K | 145.2K |
| Overall score | 0.8944758248474755 | 0.773024478061336 |
FAQ
- Which is more popular, codebase-memory-mcp or serena?
- codebase-memory-mcp has more GitHub stars (45,713 vs 29,955).
- Which is more actively developed, codebase-memory-mcp or serena?
- codebase-memory-mcp had more commits in the last 90 days (2,034 vs 394).
- Should I use codebase-memory-mcp or serena?
- 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.