signet-design
Signet Design System
See assets/design-brief.png for a full-page reference screenshot.
What Signet Is
Signet is the layer that takes an LLM from a stateless autocomplete algorithm to a real individual with opinions, persistence, and skills. It is a portable, user-owned standard for agent identity — your configuration, memory, personality, and skills travel with you across platforms. No single company or harness owns your agent. Your agent is yours.
Memory isn't just recall. It's coherence. An agent running across multiple sessions on different platforms is still one agent. Experiences branch and merge like version control — same history, different heads, converging back into a single identity. Corrigibility is built in, not bolted on. The trust layer keeps track of mistakes and works to ensure they never happen again.
More from signet-ai/signetai
web-search
Search the web and scrape pages using the local tool stack: SearXNG (meta-search), Lightpanda (fast headless fetch), and Agent-Browser (full browser automation). This is your DEFAULT web skill — use it whenever you need to look something up, research a topic, fetch a webpage, extract content from a URL, check current information, find documentation, do competitive research, or answer any question that benefits from live web data. Triggers on any form of: search for, look up, google, find out, research, what's the latest on, fetch this page, scrape this site, check this URL, pull info from, web search, or any task where current web information would improve your answer. Even if the user doesn't explicitly ask you to search — if answering well requires current info you don't have, use this skill. NOT for interactive browser automation like form filling or clicking (use [[agent-browser]] or [[browser-use]]).
78remember
[Internal] Save something to persistent memory with auto-embedding. Hidden from users — the automatic pipeline handles memory capture. Use for debug/dev only.
1signet
the one skill that will teach you all you need to know about signet
1recall
Query persistent memory using hybrid search (vector + keyword). NOTE: Relevant memories are automatically injected at session start. Use /recall for targeted searches beyond current context.
1onboarding
Interactive interview to set up your Signet workspace (~5-10 minutes). Writes identity files to ~/.agents/ — does not access external APIs, send data anywhere, or execute arbitrary code. Use when user runs /onboarding or says 'set up my agent'.
1memory-debug
Diagnose and fix Signet memory issues (daemon health, embeddings, search quality, and data integrity).
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