Claude-Mem vs kotaemon
Side-by-side comparison of two AI agent tools
C
Claude-Memfreemium
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context b
k
kotaemonopen-source
An open-source RAG-based tool for chatting with your documents.
Metrics
| Claude-Mem | kotaemon | |
|---|---|---|
| Stars | 95.0k | 25.8k |
| Star velocity /mo | 7.9k | 2.1k |
| Commits (90d) | 722 | 0 |
| Releases (6m) | 10 | 1 |
| Overall score | 0.9037983877376818 | 0.4475344412973393 |
FAQ
- Which is more popular, Claude-Mem or kotaemon?
- Claude-Mem has more GitHub stars (95,018 vs 25,791).
- Which is more actively developed, Claude-Mem or kotaemon?
- Claude-Mem had more commits in the last 90 days (722 vs 0).
- Should I use Claude-Mem or kotaemon?
- 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.