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/grok-bot)<a href="https://agentmods.dev/plugins/vectorize-io/hindsight/grok-bot"><img src="https://agentmods.dev/badge/plugins/vectorize-io/hindsight/grok-bot/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/grok-bot"><img src="https://agentmods.dev/badge/plugins/vectorize-io/hindsight/grok-bot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
hindsight 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 13d 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",
"displayName": "Hindsight",
"version": "0.1.0",
"description": "Long-term memory for Grok Bot and Cursor, shared across your Bots and your other AI tools. Bots recall what earlier runs and other Bots learned, keep their own memory bank plus a shared one, and reason over history with reflect.",
"author": { "name": "Vectorize", "email": "[email protected]" },
"homepage": "https://hindsight.vectorize.io/sdks/integrations/grok-bot",
"repository": "https://github.com/vectorize-io/hindsight",
"license": "MIT",
"keywords": ["memory", "long-term-memory", "hindsight", "mcp", "grok-bot", "agents"],
"logo": "assets/logo.svg",
"skills": "./skills/",
"mcpServers": "./mcp.json"
}
What it installs
The manifest is a name and a version. 6 skills travel with it, and installing the plugin installs all of them — 298 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.
- 13d ago First seen · 15 lines scan A eaf5c6555ef0
hindsight is a plugin published in the GitHub repository vectorize-io/hindsight (50,054 stars, last pushed today), 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 2026-10-03.
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