Hindsight

Agent memory system that helps agents learn over time through retain, recall and reflect operations.

Infrastructure by Vectorize

IndexedMIT★ 53,394

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Setup steps are in the repository. Website · Repository

About

Hindsight is an agent memory system focused on learning as well as remembering. It stores memories as observations and mental models, and exposes retain, recall and reflect operations. It can run as a Docker server with an API and web UI, be embedded in Python without a server, or be used on Hindsight Cloud.

Use cases: agent-memory

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Fact sheet

Category: Memory · memory layer
Self-host: Yesraw.githubusercontent.com
Open source: Yesraw.githubusercontent.com
Protocols: mcpraw.githubusercontent.com

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars: 53,394
Forks: 6,236
Open issues: 133
Last commit: Oct 24, 2026 (6 days ago)
Last release: Oct 21, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/vectorize-io/hindsight
Website: hindsight.vectorize.io
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Website github-graphql

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Cite this page

Hindsight. Agent Mart. https://agentmart.dev/infrastructure/hindsight (last updated 2026-10-24)