MiMo-Code: a terminal-native AI coding assistant with persistent memory and autonomous goal-driven workflows

MiMo-Code: a terminal-native AI coding assistant with persistent memory and autonomous goal-driven workflows

What it solves

MiMoCode is a terminal-native AI coding assistant designed to maintain a deep, persistent understanding of a project across multiple sessions. It solves the problem of LLM context window limits and the need for the agent to "relearn" project architecture and decisions every time a new session starts.

How it works

The tool operates as a CLI/TUI application that can read and write code, execute commands, and manage Git. It uses a specialized memory system based on SQLite FTS5 full-text search to maintain project-level knowledge (MEMORY.md), session checkpoints (checkpoint.md), and task progress logs.

To manage long-term context, it employs "intelligent context management," which automatically creates checkpoints and rebuilds the context from these checkpoints and project memory when the model's token limit is approached. It also supports a subagent system where a primary agent can spawn parallel workers to handle specific tasks.

Who it’s for

Developers who prefer working in the terminal and want an AI assistant that remembers project-specific rules, architecture decisions, and the task progress of complex, long-horizon coding tasks.

Highlights

  • Persistent Memory: Uses a combination of project memory, session checkpoints, and task logs to maintain context across sessions.
  • Multiple Agent Modes: Includes specialized agents for building (full permissions), planning (read-only analysis), and composing (specs-driven orchestration).
  • Autonomous Loops: Features a /goal command that uses an independent judge model to verify if a task is truly completed before stopping.
  • Self-Improvement: The /dream and /distill commands allow the agent to extract persistent knowledge from session traces and package repeated workflows into reusable skills.
  • Voice Input: Supports real-time streaming voice input for hands-free interaction.
  • Extensibility: Compatible with various LLM providers and supports MCP servers.

Sources