vectorize-io/hindsight is an agent memory system that stores experiences and helps AI agents learn over time instead of only recalling conversation history. It is used by developers adding long-term memory to agents, including coding agents. Catalogue add-ons connect agents to Hindsight and its memory workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/vectorize-io/hindsightWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/vectorize-io/hindsight/claude-code)<a href="https://agentmods.dev/plugins/vectorize-io/hindsight/claude-code"><img src="https://agentmods.dev/badge/plugins/vectorize-io/hindsight/claude-code/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/vectorize-io/hindsight/claude-code"><img src="https://agentmods.dev/badge/plugins/vectorize-io/hindsight/claude-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
hindsight-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "hindsight-memory",
"description": "Automatic long-term memory for Claude Code via Hindsight. Recalls relevant memories before each prompt, retains conversation transcripts, and provides knowledge page tools.",
"version": "0.7.6",
"author": {"name": "Hindsight Team", "url": "https://vectorize.io/hindsight"},
"license": "MIT",
"keywords": ["memory", "hindsight", "recall", "retain"]
}
What it installs
The manifest is a name and a version. 1 skill, 4 hooks, 1 MCP server travel with it, and installing the plugin installs all of them — 31 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago Changed c566b09e25b6
- 1mo ago First seen · 9 lines scan A 302fcbf9d49c
hindsight-memory is a plugin published in the GitHub repository vectorize-io/hindsight (50,054 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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