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Revise README for clarity and precision
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README.md

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<a href="https://deepwiki.com/pmbstyle/Octopal"><img src="https://deepwiki.com/badge.svg"></a>
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</p>
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Octopal is a local AI runtime that executes autonomous agents in isolated environments.
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Octopal is a local AI agent runtime designed for safe, autonomous execution.
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It acts as a persistent operator that plans work, spawns specialized workers, and runs tasks on your behalfwithout exposing your system to risk.
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It runs as a persistent operator that plans tasks, delegates work, and executes actions through isolated workerskeeping your system protected by design.
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The **Octo** is the long-running coordinator: it holds memory, plans work, chooses tools, and delegates execution.
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**Workers** are short-lived specialists with bounded context, strict permissions, and isolated execution.
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At the core is the **Octo**: a long-running coordinator that holds memory, reasons about tasks, selects tools, and orchestrates execution.
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This architecture enforces a hard boundary between reasoning and execution:
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Octo never performs external actions directly — all side effects happen inside controlled worker environments.
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Instead of acting directly, Octo delegates all side effects to **Workers** — short-lived, sandboxed agents with limited context and strict permissions.
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This creates a hard separation between thinking and doing: the system that decides never touches the outside world, and the system that acts is fully controlled.
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## Table of contents
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