codebase-memory-mcp vs screenpipe
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
s
screenpipeopen-source
YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)
Metrics
| codebase-memory-mcp | screenpipe | |
|---|---|---|
| Stars | 45.6k | 21.8k |
| Star velocity /mo | 3.8k | 1.8k |
| Commits (90d) | 2.1k | 2.8k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.912298123773986 | 0.8727681175444836 |
FAQ
- Which is more popular, codebase-memory-mcp or screenpipe?
- codebase-memory-mcp has more GitHub stars (45,551 vs 21,783).
- Which is more actively developed, codebase-memory-mcp or screenpipe?
- screenpipe had more commits in the last 90 days (2,832 vs 2,093).
- Should I use codebase-memory-mcp or screenpipe?
- 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.