codebase-memory-mcp vs headroom
Side-by-side comparison of two AI agent tools
c
codebase-memory-mcpopen-source
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries
h
headroomopen-source
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Li
Metrics
| codebase-memory-mcp | headroom | |
|---|---|---|
| Stars | 45.6k | 74.2k |
| Star velocity /mo | 3.8k | 6.2k |
| Commits (90d) | 2.1k | 1.2k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.912298123773986 | 0.91550535160014 |
FAQ
- Which is more popular, codebase-memory-mcp or headroom?
- headroom has more GitHub stars (74,176 vs 45,551).
- Which is more actively developed, codebase-memory-mcp or headroom?
- codebase-memory-mcp had more commits in the last 90 days (2,093 vs 1,163).
- Should I use codebase-memory-mcp or headroom?
- 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.