Agentic Os


**TL;DR**: An agentic personal operating system built to automate high-leverage workflows across Claude Code, Codex, Pi, OpenClaw, and other coding agents/runtime platforms.

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Quick Start

1. **Clone this repo**

   git clone https://github.com/itseffi/personal-os.git
   cd personal-os

2. **Run setup**

   chmod +x setup.sh
   ./setup.sh

3. **Start using** This automates high-leverage execution end-to-end: it converts raw backlog into prioritized, goal-aligned, verification-enforced action plans.

   Open this repo in your agent and run:
   1) "Process my backlog from BACKLOG.md into Tasks/**/*.md using AGENTS.md rules."
   2) "Show my P0/P1 unblocked tasks aligned to GOALS.md."
   3) "Propose today’s top 3 with required verification evidence and commands."

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Quick Links

[Build Your Personal OS](Tutorials/build-your-personal-os.md) · [Workflows](Workflows/README.md) · [Canonical Skills](.agents/skills/README.md) · [Evals](Evals/README.md) · [Tutorials (index)](Tutorials/README.md)

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Architecture

flowchart TD
    U["User Prompt"] --> A["Agent Runtime
Claude Code | Codex | Pi | OpenClaw"]
    A --> I["Instructions
AGENTS.md + wrappers"]
    A --> S["Skills
.agents/skills/*/SKILL.md"]
    A --> W["Workflows
Workflows/*.md"]
    A --> F["State + Context
Tasks, GOALS, BACKLOG, Knowledge, Resources"]
    A -. optional .-> M["MCP Integrations
System/mcp + external services"]
    A -. optional .-> D["Subagents
runtime-dependent delegation"]
    A --> E["Evals
Evals/ + Evals/skills + scripts/run_skill_evals.py"]

    classDef core fill:#ff9891,stroke:#2b2b2b,color:#111111,stroke-width:1.2px;
    classDef optional fill:#ffd4d0,stroke:#2b2b2b,color:#111111,stroke-width:1.2px,stroke-dasharray: 4 3;
    class U,A,I,S,W,F,E core;
    class M,D optional;

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Agent Compatibility

Pe