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AI EngineeringTypeScript

Signet AI

by Signet-AI

Signet AI is an AI Engineering skill for Claude Code, published by Signet-AI in signetai.

264 stars40 forkson Signet-AI/signetaiAdded 2026/09/02+1% in starsRepository updated 2026/09/02
agent-memoryai-memoryclaude-codecodexhermes-agenthermes-agent-pluginhermes-pluginoh-my-piopenclawopencodeopencode-pluginpi-coding-agentpi-extensionself-hosted
Install in seconds
Install Signet AI
Copy Signet AI into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Signet-AI/signetai/tree/main/web/marketing/public ~/.claude/skills/public

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Signet-AI/signetai.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
web/marketing/public/skill.md in Signet-AI/signetai
Installs to
~/.claude/skills/public
Collection
One of 10 skills cataloged from this repository
Category
AI Engineering2631 skills

What Signet AI does

Signet AI installs a persistent memory and secrets layer for AI tools. Use it when you need to set up the Signet daemon, dashboard, and connectors for a supported agent platform.

Signet AI is cataloged under AI Engineering on DirSkills. Signet AI comes from a repository tagged agent-memory, ai-memory, claude-code, codex and hermes-agent.

Documentation

README

Signet AI — Install Guide for Agents

This document is written for AI agents. If you are an AI assistant that has been asked to install Signet, read this entire document before taking any action. Follow the steps exactly as written. Do not improvise, guess commands, or skip sections.


Install Objective (Must Complete)

Your job is not just to install a package. Your job is to leave the user with a fully configured, running Signet setup.

You are done only when ALL of these are true:

This is the opening of the README. Read the full README on GitHub.

Commands Signet AI provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /remember
  • /recall
  • /memory-debug
  • /onboarding
  • /signet
  • /context

Frequently asked about Signet AI

  • What else does Signet-AI publish alongside Signet AI?

    Signet AI is one of 10 skills that DirSkills catalogs from Signet-AI/signetai, the repository it ships in. Its siblings there include Agents Md Sync, Dreaming and Dreaming Development. Each one is a separate skill with its own page in this directory, installs the same way Signet AI does, and is maintained by Signet-AI in that same repository. The rest of the collection is listed on the Signet-AI/signetai page.

  • How does Signet AI compare to other AI Engineering skills?

    Signet AI ranks #2252 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Signet AI against them. Open each page to compare what they document and how they install.

More from Signet-AI/signetai

Signet AI is one of 10 skills cataloged on DirSkills from Signet-AI/signetai.

See all 10 skills
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Agents Md Sync

Agents Md Sync prunes and routes AGENTS.md guidance so inherited context stays small, durable, and useful. Use it when nested agent instructions have drifted, duplicated, or become too broad.
AI Engineering
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1h ago

Dreaming

Dreaming maintains Signet's ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records. Use it when bulk evidence needs to be turned into entities, links, claims, and provenance-tracked maintenance output.
AI Engineering
26440
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1h ago

Dreaming Development

Dreaming Development helps preserve Signet's current Dreaming architecture while making changes. Use it when inspecting source, semantic memory, retrieval, and inference paths to avoid duplicate modules and ad-hoc providers.
AI Engineering
26440
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1h ago

MemoryBench Integration

MemoryBench Integration benchmarks your custom memory system against tools like Supermemory, Mem0, and Zep. Use it to compare accuracy, latency, features, and cost on standard or custom datasets.
AI Engineering
26440
🧭
1h ago

Onboarding

Onboarding walks a user through an interactive interview to set up a Signet workspace and write local identity files in ~/.agents/. It is used for /onboarding, first-time setup, or redoing an agent configuration.
Automation
26440
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1h ago

Signet Ontology

Signet Ontology helps you navigate reviewed structured facts, claim history, entity dependencies, and graph hygiene from Codex. Use it when working with Signet knowledge graph state and treating raw memory files as evidence.
AI Engineering
26440