vectorize-io/hindsight
Hindsight: Agent Memory That Learns
About the project
Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or embedded, with Python, Node.js, Go and CLI clients.
Useful for
- Attach Hindsight to an agent via the LLM wrapper or MCP so it retains facts across sessions
- Deploy the Hindsight server in Docker with a local ollama model for private agent memory
- Benchmark your own memory setup against Hindsight on LongMemEval
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 209 stars so far today, about 645 expected by the end of the day. The usual pace is 104 per day, so that's 6.2× as much.
- Over the last two days the pace is 7.7× that of the previous week and a half.
- The spike has held for 3 days in a row — not a one-off blip.
- GitHub Trending today: #2, +1,607 stars.
- GitHub Trending Python today: #2, +1,607 stars.
- About 141 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 26,934
- Today
- 209 · ≈ 645 by evening
- Forks
- 2,529
- Issues and pull requests
- 4,616
- Watchers
- 62
- Language
- Python
- License
- MIT
- Latest release
- v0.10.1 · September 21, 2026
- Created
- October 30, 2025
- Last push
- September 24, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 24, 2026GitHub Trending today: #2, +1,607 stars; GitHub Trending Python today: #2, +1,607 stars; GitHub Trending this week: #12, +3,181 stars
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