Hindsight vs MemOS
Side-by-side comparison of two AI agent tools
H
Hindsightopen-source
Hindsight: Agent Memory That Learns
M
MemOSopen-source
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harne
Metrics
| Hindsight | MemOS | |
|---|---|---|
| Stars | 43.9k | 11.7k |
| Star velocity /mo | 3.7k | 971.6666666666666 |
| Commits (90d) | 1.3k | 264 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9047623012212233 | 0.730926100634913 |
FAQ
- Which is more popular, Hindsight or MemOS?
- Hindsight has more GitHub stars (43,856 vs 11,660).
- Which is more actively developed, Hindsight or MemOS?
- Hindsight had more commits in the last 90 days (1,325 vs 264).
- Should I use Hindsight or MemOS?
- 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.