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Xiaomi Delivers MiMo-Code To Build Programs And Remember Your Work

By vramkickedin | | 2 min read
A glowing memory module inside a classic computer terminal with contrasting to bright amber.

MiMo-Code is a terminal-native AI coding assistant that reads and writes code while managing Git commands. It uses a persistent memory system to maintain a deep understanding of projects across sessions. The tool improves itself by extracting knowledge and packaging workflows into reusable skills.

Xiaomi who recently released MiMo-V2.5-Pro-FP4-DFlash developed this project as a fork of OpenCode to enhance standard workflows. The team kept core OpenCode capabilities while adding intelligent context management and subagent orchestration. This approach provides a structured workflow taking development from specs to shipped code.

Terminal features and coding assistance

Key Features
  • Reads and writes code directly in terminal.
  • Manages Git commands automatically for developers.
  • Maintains a persistent cross-session memory system.
  • Supports multiple agents for parallel tasks.
  • Provides real-time streaming voice input capabilities.
  • Connects to any OpenAI-compatible API endpoint.

This tool is built for developers needing an autonomous assistant to handle complex coding tasks in the terminal. It benefits teams by preserving project context automatically so they do not have to retrain the model on restarts. Users can connect it to local models or custom API providers for complete control over their data.

Development notes and limitations

Windows users might experience garbled output for Asian characters unless they enable system-wide UTF-8 support. The system restricts file access outside the project directory to prevent silent permission widening, requiring manual approval for the temp directory. Developers can install it easily using a one-line command or the npm package manager.

"MiMoCode is built as a fork of OpenCode. It keeps all core OpenCode capabilities (multiple providers, TUI, LSP, MCP, plugins) and adds persistent memory, intelligent context management, subagent orchestration, goal-driven autonomous loops, compose workflows, and self-improvement via dream/distill." Source: GitHub

Project Links