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AI EngineeringTypeScript

Signet Sessions

by Signet-AI

Signet Sessions 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
View source on GitHubDownload repo ZIP
agent-memoryai-memoryclaude-codecodexhermes-agenthermes-agent-pluginhermes-pluginoh-my-piopenclawopencodeopencode-pluginpi-coding-agentpi-extensionself-hosted
Install in seconds
Install Signet Sessions
Copy Signet Sessions 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/integrations/codex/plugin/plugins/signet/skills/signet-sessions ~/.claude/skills/signet-sessions

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
integrations/codex/plugin/plugins/signet/skills/signet-sessions/SKILL.md in Signet-AI/signetai
Installs to
~/.claude/skills/signet-sessions
Collection
One of 10 skills cataloged from this repository
Category
AI Engineering — 2631 skills

What Signet Sessions does

Signet Sessions searches Signet transcript and session evidence from Codex. Use it when prior transcript evidence matters and keep it separate from ordinary memory search.

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

Documentation

README

Signet Sessions

Use signet_session_search when prior transcript evidence matters. Keep transcript lookup separate from memory recall; do not fold session search into ordinary memory search.

Frequently asked about Signet Sessions

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

    Signet Sessions 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 Sessions 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 Sessions compare to other AI Engineering skills?

    Signet Sessions ranks #2256 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 Sessions against them. Open each page to compare what they document and how they install.

More from Signet-AI/signetai

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

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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.
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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.
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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.
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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.
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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.
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Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
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AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
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Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
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