second-me
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    • AI-native Memory 2.0: Second Me
    • AI-native Memory: A Pathway from LLMs Towards AGI
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  • Snapshot-0407: Full Docker Support & Enhanced API Integration
  • 🚀 New Features
  • đź”® What's Coming Next (Coming in the Next Month)
  • Snapshot-0331
  • 🚀 New Features
  • đź›  Improvements
  • đź”§ Bug Fixes & Optimizations

What's new

Here are all significant changes to Second Me, updated weekly.

Snapshot-0407: Full Docker Support & Enhanced API Integration

Released: April 8, 2025

🚀 New Features

  • Full Docker Support Across All Platforms

    • Second Me now fully supports Docker deployment across Mac (Apple Silicon included), Windows, and Linux.

    • This resolves previous environment issues on Apple Silicon devices and ensures a smoother, more consistent experience across platforms.

  • OpenAI-Compatible API Interface

    • Now supports the standard OpenAI protocol interface—seamlessly integrate with VS Code, Notion, ChatBox, and hundreds of other mainstream AI apps.

    Check out the documentation for details: docs/Public Chat API.md & docs/Local Chat API.md

đź”® What's Coming Next (Coming in the Next Month)

In the coming month, we're focused on making Second Me not just smarter—but more you. Here’s what’s on the immediate roadmap:

  • Your Identity as an Interface Your Second Me will begin acting as an MCP server that represents your identity, enabling secure and meaningful interactions with other users and services.

  • Deep Reasoning & Continuous Learning We're incorporating chain-of-thought reasoning (inspired by models like OpenAI o1 and DeepSeek R1), along with one-click continuous training. You'll be able to upload new data and instantly improve your model—tailoring Second Me to reflect your evolving thinking.

These features are actively under development and will be rolled out progressively within the next month.

Snapshot-0331

Released: March 31, 2025

🚀 New Features

  • Docker Deployment Support

    • Added containerization support for Linux and Windows

  • MLX Training [Beta]

    • Native support for Apple Silicon, enabling faster training with larger models

    • Note: Currently optimized for Apple Silicon users; see lpm_kernel/L2/mlx_training README for setup instructions

đź›  Improvements

  • Improved Training Pipeline Logging

    • Enhanced visibility into training processes

đź”§ Bug Fixes & Optimizations

  • File Handling

    • Fixed "too many open files" errors

  • Better Long-Document Handling in Embedding

    • Improved stability and performance for processing large text inputs

  • Clipboard Support

    • Added copyToClipboard functionality for improved usability

👏 Acknowledgements: Special thanks to our contributors, including @Mahdi Rahimi, @Airmomo, @Llux-C, and others, for their valuable help in implementing these improvements and fixes.

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Last updated 1 month ago