Hindsight vs Supermemory
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 +345 for Supermemory.
- Pick Hindsight for: hindsight: Agent Memory That Learns. Pick Supermemory for: memory and context engine + app that is extremely fast, scalable, and can be run fully locally.
From GitHub data refreshed daily.
H
Hindsightopen-source
Hindsight: Agent Memory That Learns
S
Supermemoryopen-source
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Metrics
| Hindsight | Supermemory | |
|---|---|---|
| Stars | 44.5k | 31.1k |
| Star velocity /mo | 9.9k | 345 |
| Commits (90d) | 1.3k | 185 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.922625342953448 | 0.7582987471738448 |
FAQ
- Which is more popular, Hindsight or Supermemory?
- Hindsight has more GitHub stars (44,515 vs 31,062).
- Which is more actively developed, Hindsight or Supermemory?
- Hindsight had more commits in the last 90 days (1,332 vs 185).
- Should I use Hindsight or Supermemory?
- 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.