Hindsight

vectorize-io/hindsight

Agent memory system organized around three explicit operations—retain, recall, and reflect—with semantic, keyword, graph, and temporal retrieval plus an MCP server. The June 2026 release and production usage make it a concrete reference for turning cross-session persistence from passive storage into an active learning layer inside the harness

Python MIT

View on GitHub → Find it in the atlas

Install

npx @vectorize-io/hindsight-coding-agents install all # every detected agent, wired natively

Repository reader

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Platform support

Derived from the project's own README, install route, CI configuration and release assets — not from running it.
PlatformRuns hereOn what evidence
WindowsLikelyInferred from the language or runtime. Nothing in the project says so.
WSL2LikelyInferred from the language or runtime. Nothing in the project says so.
macOSYesStated in the project's own README, install route, CI config or release assets.
LinuxYesStated in the project's own README, install route, CI config or release assets.
DockerYesStated in the project's own README, install route, CI config or release assets.

Where it came from

Named by 7 of the 39 lists the atlas merges, independently of each other.

How it is classified

One topic, 3 harnesses. Each link is a prerendered page of everything else in that slice.

Context, Memory & RAGClaude CodeClaude / AnthropicMCP

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