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// OWNER · vectorize-io · REPO SNAPSHOT
vectorize-io
Hindsight: Agent Memory That Learns
vectorize-io//STAR HISTORY · 12M
Hindsight: Agent Memory That Learns
Documentation • Paper • Cookbook • Hindsight Cloud What is Hindsight? Hindsight™ is an agent memory system built to create smarter agents that learn over time. It has reached 14,521 GitHub stars, written primarily in Python.
Why now: Sustained developer attention keeps it in the tracked pool; GitHub activity is the current lead signal.
- 14,521 GitHub stars, 826 forks — verifiable at github.com/vectorize-io/hindsight.
- Primary language Python; topics: agentic-ai, agents, ai-memory, memory.
- Licensed MIT.
Considerations: Solid adoption (14,521 stars) but quiet cross-source signal right now — established utility more than a current breakout.
EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Python) will tell you more than the metrics.
Sources: vectorize-io/hindsight on GitHub · Project homepage
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
// RELATED REPOS · CROSS-SOURCE OVERLAP
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22341▌ FAQ · answers from the data spine
What is vectorize-io/hindsight?
Who maintains hindsight?
What language is hindsight written in?
When was hindsight created? When was the last update?
How do I install hindsight?
git clone https://github.com/vectorize-io/hindsight.git
//COMMENTS · 0
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