agentic-os
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
- License 许可
- MIT
- 最近更新
- 2026-11-02
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- ★ 0
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01 前言 Front Matter
- name
- agentic-os
- origin
- ECC
- description
- Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
02 资源文件 2
- 参考文档_meta.json270 B
- 参考文档.clawhub/origin.json151 B
03 SKILL.md 正文
Agentic OS
Treat Claude Code as a persistent runtime / operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON/markdown data layer.
When to Activate
- Building a multi-agent workflow inside Claude Code
- Setting up persistent Claude Code automation that survives session restarts
- Creating a "personal OS" or "agentic OS" for recurring tasks
- User says "agentic OS", "personal OS", "multi-agent", "agent coordinator", "persistent agent"
- Structuring long-running projects where context must survive across sessions
Architecture Overview
The Agentic OS has four layers. Each layer is a directory in your project root.
project-root/
├── CLAUDE.md # Kernel: identity, routing rules, agent registry
├── agents/ # Specialist agent definitions (markdown prompts)
├── .claude/commands/ # Slash commands: user-facing CLI
├── scripts/ # Daemon scripts: scheduled or event-driven tasks
└── data/ # State: JSON/markdown filesystem, no external DB
Layer Responsibilities
| Layer | Purpose | Persistence |
|---|---|---|
Kernel (CLAUDE.md) |
Identity, routing, model policies, agent registry | Git-tracked |
Agents (agents/) |
Specialist identities with scoped tools and memory | Git-tracked |
Commands (.claude/commands/) |
User-facing slash commands (/daily-sync, /outreach) |
Git-tracked |
The Kernel
Kernel Structure
CLAUDE.md - Agentic OS Kernel
Identity
Agent Registry
Routing Rules
Model Policies
Key Principle
Specialist Agents
Agent Definition Format
04 同仓库更多 Skills
clarify-requirements
Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.
openmm-md
Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein / protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.
visual-review
Take screenshots of web pages and UI using Playwright for visual review and iteration
status
Diagnostic status report — shows metaswarm installation state, project setup, and potential issues
start
Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work
setup
Interactive project setup — detects your project, configures metaswarm, writes project-local files