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Agents keep forgetting, and the fix just became github’s biggest mover this week. vectorize’s…

Yethikrishna ROriginal on Threads

agents keep forgetting, and the fix just became github’s biggest mover this week. vectorize’s hindsight gained 16k stars in seven days, scores 91.4% on longmemeval, and gives any mcp agent persistent memory under mit.

stateless agents now have an open-source answer.

Context

Verified source: the vectorize-io/hindsight GitHub page, in an undated snapshot, shows 47,936 stars, an MIT license and a creation date of Oct 30, 2025. An ACL Anthology demo paper and an arXiv paper (Dec 14, 2025) describe Hindsight as an agent memory system with retain, recall and reflect operations.

The arXiv paper lists authors at Vectorize.io, The Washington Post and Virginia Tech.

How it compares

The MIT license and the agent-memory purpose match the sources. The 16,000 stars in seven days, the 91.4% on LongMemEval and the MCP support were not seen in the sources read, so unsupported here, not refuted. The repo is a year old, and the snapshot star count is a total, not a weekly gain. Vectorize publishes a benchmark repo with LongMemEval results, which is where to check the score. 'Stateless agents now have an open-source answer' is the author's opinion.

Related work

Watch next

  • Read the hindsight-benchmarks README for the LongMemEval number and how it was run.

Sources

  1. vectorize-io/hindsight, GitHubgithub.com
  2. Hindsight: Structured Agent Memory that Retains, Recalls, and Reflects, ACL Anthologyaclanthology.org
  3. Building Agent Memory that Retains, Recalls, and Reflects, arXivarxiv.org

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 04:02 IST. Sources are the papers and datasets the note draws on.

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