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Document MIT Score: 76

Planning With Files

Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style.

Category: Document
License: MIT

01 // How It Works

By leveraging Python SDK / OpenAI API, the application isolates runtime dependencies while maintaining low-latency execution traces across multi-step LLM operations.

02 // Setup Guide

  1. 1

    Clone OthmanAdi/planning-with-files from GitHub

  2. 2

    Install dependencies with pip install -r requirements.txt (or uv sync)

  3. 3

    Copy .env.example to .env and add your API keys

  4. 4

    Run the skill server and connect your AI client via stdio or HTTP

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