Hindsight vs MemOS
Side-by-side comparison of two AI agent tools
Short answer
- Hindsight is growing faster: +9,885 GitHub stars in the last 30 days vs +225 for MemOS.
- Pick Hindsight for: hindsight: Agent Memory That Learns. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
H
Hindsightopen-source
Hindsight: Agent Memory That Learns
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| Hindsight | MemOS | |
|---|---|---|
| Stars | 44.5k | 11.7k |
| Star velocity /mo | 9.9k | 225 |
| Commits (90d) | 1.3k | 261 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.922625342953448 | 0.7181250897770423 |
FAQ
- Which is more popular, Hindsight or MemOS?
- Hindsight has more GitHub stars (44,515 vs 11,675).
- Which is more actively developed, Hindsight or MemOS?
- Hindsight had more commits in the last 90 days (1,332 vs 261).
- 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.