Agent-Reach vs codebase-memory-mcp
Side-by-side comparison of two AI agent tools
A
Agent-Reachopen-source
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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
Metrics
| Agent-Reach | codebase-memory-mcp | |
|---|---|---|
| Stars | 86.5k | 45.6k |
| Star velocity /mo | 7.2k | 3.8k |
| Commits (90d) | 70 | 2.1k |
| Releases (6m) | 3 | 10 |
| Overall score | 0.7321919036294092 | 0.912298123773986 |
FAQ
- Which is more popular, Agent-Reach or codebase-memory-mcp?
- Agent-Reach has more GitHub stars (86,480 vs 45,551).
- Which is more actively developed, Agent-Reach or codebase-memory-mcp?
- codebase-memory-mcp had more commits in the last 90 days (2,093 vs 70).
- Should I use Agent-Reach or codebase-memory-mcp?
- 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.