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hindsight

Hindsight: Agent Memory That Learns

  • agentic-ai
  • agents
  • ai-memory
  • memory
View on GitHub
Stars
44,267
Forks
5,855
+ today
+10
Created
11mo

Ranking data as of October 1, 2026 (UTC).

Overview

Hindsight: Agent Memory That Learns It ranks #52 on GitTiger, gaining +10 stars on October 1, 2026 (UTC).

The project is written in Python and has 5,855 forks. It was created 11mo ago.

AI-generated summary of the repository README — may contain errors.

What it is

Hindsight is a Python project for agent memory, described as “Agent Memory That Learns.” Developers exploring memory for AI agents can use its documentation to understand the project’s concepts and integration options.

Capabilities described

The README summary covers memory types and the retain, recall, and reflect concepts, alongside observations, mental models, knowledge pages, and banks. It also lists an LLM wrapper, integrations, coding agents, and MCP. The project’s materials include a cookbook, benchmarks, a paper, production guidance, and Hindsight Cloud.

Getting started

Setup steps are not included in the supplied information. Check the project README for instructions on getting started and details about the integrations.

Installation
git clone https://github.com/vectorize-io/hindsight.git
cd hindsight
# see README for setup

Frequently Asked Questions

What language is Hindsight written in?

The supplied metadata lists Python.

What memory concepts does the project describe?

The README summary lists memory types, retain, recall, reflect, observations, mental models, knowledge pages, and banks.

Where can I find setup instructions?

Setup steps were not supplied here. Check the project README.