vectorize-io/hindsight
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Hindsight: Agent Memory That Learns
About
Hindsight™ is an agent memory system built to create smarter agents that learn over time. Most agent memory systems focus on recalling conversation history. Hindsight is focused on making agents that learn, not just remember.
It eliminates the shortcomings of alternative techniques such as RAG and knowledge graph and delivers state-of-the-art performance on long term memory tasks.
Hindsight is the most accurate agent memory system ever tested according to benchmark performance. It has achieved state-of-the-art performance on the LongMemEval benchmark, widely used to assess memory system performance across a variety of conversational AI scenarios. The current reported performance of…
Excerpted from github.com/vectorize-io/hindsight
Latest metrics
| Stars | 18.4k | 2026-07-16 |
|---|---|---|
| Forks | 1.1k | 2026-07-16 |
| Commits | 2.1k | 2026-07-16 |
| Releases | 63 | 2026-07-16 |
| Watchers | 50 | 2026-07-16 |
| Open issues | 76 | 2026-07-16 |
| Open PRs | 64 | 2026-07-16 |