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 (4 days ago)
- Last release
- Oct 21, 2026 (7 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
Cite this page
Hindsight. Agent Mart. https://agentmart.dev/infrastructure/hindsight (last updated 2026-10-24)