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This commit significantly updates the README.md file to provide a clearer and more comprehensive guide for you and other developers.

Key changes include:

  • Reviewed and enhanced the project description for clarity and accuracy, ensuring all major components like victor_core, victor_modules, OmegaTensor, and HyperFractalMemory are well-represented.
  • Refined installation instructions:
    • Added an explicit git clone step.
    • Incorporated best practices by adding steps for creating and activating Python virtual environments (venv).
    • Provided detailed guidance on setting up environment variables (e.g., OPENAI_API_KEY), including examples for different shells and recommendation for using .env files.
  • Verified and clarified usage instructions for both the main AGI and the example LLM script, including prerequisites like virtual environment activation and environment variable setup.
  • Reviewed the development section to ensure all information regarding contributions, plugin architecture, and core technologies like asyncio remains accurate and relevant.

This commit significantly updates the README.md file to provide a clearer and more comprehensive guide for you and other developers.

Key changes include:
- Reviewed and enhanced the project description for clarity and accuracy, ensuring all major components like `victor_core`, `victor_modules`, `OmegaTensor`, and `HyperFractalMemory` are well-represented.
- Refined installation instructions:
    - Added an explicit `git clone` step.
    - Incorporated best practices by adding steps for creating and activating Python virtual environments (`venv`).
    - Provided detailed guidance on setting up environment variables (e.g., `OPENAI_API_KEY`), including examples for different shells and recommendation for using `.env` files.
- Verified and clarified usage instructions for both the main AGI and the example LLM script, including prerequisites like virtual environment activation and environment variable setup.
- Reviewed the development section to ensure all information regarding contributions, plugin architecture, and core technologies like `asyncio` remains accurate and relevant.
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2 participants