hindsight-docs

hindsight-docs is a skill for Claude Code, Codex from vectorize-io/hindsight. It costs 30 tokens per session (863 once invoked), scanned A, original, MIT.

A documentation guide for Hindsight, a memory system for AI agents. It covers how Hindsight stores, finds, and reflects on information, along with its setup and software libraries.

In plain words
What is it for?
Use it to learn the Hindsight architecture, configure its server and memory banks, work with its API, or integrate its Python, Node.js, or Rust libraries.
Why use it?
It gives agents a central reference when they need to understand Hindsight or troubleshoot its use. It reduces the need to search through separate technical documents.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 51krepo +2.4k today A scan Socket: passSnyk: passSkillSpector: pass 30 tokens original MIT

Good fit Use it to learn the Hindsight architecture, configure its server and memory banks, work with its API, or integrate its Python, Node.js, or Rust libraries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vectorize-io/hindsight/hindsight-docs
About the project

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.

vectorize-io/hindsight · 50,509 stars · on GitHub · hindsight.vectorize.io

Install

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.

Any agent
npx skills add vectorize-io/hindsight --skill hindsight-docs
Clone the repo
git clone --depth 1 https://github.com/vectorize-io/hindsight

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hindsight-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/vectorize-io/hindsight/hindsight-docs/github.svg)](https://agentmods.dev/skills/vectorize-io/hindsight/hindsight-docs)
Your own site
<a href="https://agentmods.dev/skills/vectorize-io/hindsight/hindsight-docs"><img src="https://agentmods.dev/badge/skills/vectorize-io/hindsight/hindsight-docs/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.

agentmods 80×15 button for hindsight-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/vectorize-io/hindsight/hindsight-docs"><img src="https://agentmods.dev/badge/skills/vectorize-io/hindsight/hindsight-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 863 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 6 Oct 2026
  • Snyk pass 6 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00863
Opus 5.5 $0.00012 $0.00345
Sonnet 5.5 $0.00006 $0.00173
Haiku 4.5 $0.00003 $0.00086

Measured 1mo ago against content hash 207f954b6e47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hindsight-docs 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/hindsight-docs/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hindsight Documentation Skill

Complete technical documentation for Hindsight - a biomimetic memory system for AI agents.

When to Use This Skill

Use this skill when you need to:

  • Understand Hindsight architecture and core concepts
  • Learn about retain/recall/reflect operations
  • Configure memory banks and dispositions
  • Set up the Hindsight API server (Docker, Kubernetes, pip)
  • Integrate with Python/Node.js/Rust SDKs
  • Understand retrieval strategies (semantic, BM25, graph, temporal)
  • Debug issues or optimize performance
  • Review API endpoints and parameters

Documentation Structure

All documentation is in references/ organized by category:

references/
├── best-practices.md # START HERE — missions, tags, formats, anti-patterns
├── faq.md            # Common questions and decisions
├── changelog/        # Release history and version changes (index.md + integrations/)
├── openapi.json      # Full OpenAPI spec — endpoint schemas, request/response models
├── developer/
│   ├── api/          # Core operations: retain, recall, reflect, memory banks
│   └── *.md          # Architecture, configuration, deployment, performance
└── sdks/
    ├── *.md          # Python, Node.js, CLI, embedded
    └── integrations/ # Framework and tool integrations

How to Find Documentation

1. Find Files by Pattern (use Glob tool)

# Core API operations
references/developer/api/*.md

# SDK documentation
references/sdks/*.md
references/sdks/integrations/*.md

# Find specific topics
references/**/configuration.md
references/**/*python*.md
references/**/*deployment*.md

2. Search Content (use Grep tool)

# Search for concepts
pattern: "disposition"        # Memory bank configuration
pattern: "graph retrieval"    # Graph-based search
pattern: "helm install"       # Kubernetes deployment
pattern: "document_id"        # Document management
pattern: "HINDSIGHT_API_"     # Environment variables

# Search in specific areas
path: references/developer/api/
pattern: "POST /v1"           # Find API endpoints

path: references/sdks/
pattern: "def |async def "    # Find Python examples

Read the full file on GitHub · 113 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago First seen · 113 lines · 30 tokens per session scan A 207f954b6e47

Subscribe to this mod's changes

hindsight-docs is a skill published in the GitHub repository vectorize-io/hindsight (50,509 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 863 once invoked, about $0.0001 per session on Opus 5.5. 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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