MiMo Code – Xiaomi’s Open-Source Terminal AI Coding Assistant

1. What Is MiMo Code?

MiMo Code is Xiaomi’s MIT-licensed terminal AI coding assistant, built on the OpenCode framework. It bundles a limited-time free MiMo-V2.5 model with a persistent memory system, Compose full-flow mode, and Dream memory consolidation—outperforming Claude Code on SWE-Bench and Terminal Bench in cited real-world tests. Full Chinese localization, voice input, and third-party model support make it a strong domestic option for cost-conscious developers.

Technical positioning and domain: AI-assisted software development via terminal TUI—closer to CLI workflows than IDE-only plugins. Deep Agent + durable memory enables full-flow automation beyond completion.

Research background: Xiaomi AI Lab extended OpenCode after the MiMo model family (2024). Differentiation: open source, low cost, Chinese UX, Agent–model co-optimization (Harness).

Core value: Fixes context loss in long sessions, weak project continuity, and poor Chinese support in overseas tools. Persistent memory, Compose automation, and pricing (API ~¥0.7/M tokens) lower barriers; domestic network and voice remove friction.

Technical characteristics: Triple memory (project, session checkpoint, task progress) + subagents; Dream /dream weekly consolidation; Compose Agent orchestration; 1M context; MiMo-V2.5-ASR voice; Harness co-optimization.

2. Key Features

• Persistent memory: Project memory, session checkpoints, task progress—saved by dedicated subagents, not model “notes.” Hundreds of turns without losing critical context on large repos.

• Compose full-flow mode: Tab to switch; one idea → design, plan, code, test, review—industrial-grade modules with upfront planning.

• Dream consolidation: /dream (also ~7-day auto) merges/deduplicates sessions, validates paths, compresses memory—“ learns your project over time.”

• Voice control: MiMo-V2.5-ASR for prompts, edits, send/execute—hands-free review scenarios.

• Multi-model: Free MiMo-V2.5 channel plus DeepSeek, Kimi, GLM, third-party Token Plans.

• Chinese localization: Fully localized settings; right-side status board for progress/tokens/memory.

• Smart editing: Repo mapping, safe-change analysis, diff review, run checks before merge.

3. How to Use

1. Environment: macOS 12+, Linux 4.15+, Windows 10/11 with Node.js 18+. Best in iTerm2 or VS Code integrated terminal.

2. Install: Mac/Linux: curl -fsSL https://mimo.xiaomi.com/install | bash; Windows: npm install -g @mimo-ai/cli.

3. Launch: Run mimo in terminal; first-run wizard for model and workspace.

4. Config: Type / for Chinese settings; /help for shortcuts; status board shows progress and memory.

5. Compose: Tab → describe a feature (e.g., “RESTful user management API”); full pipeline runs automatically.

6. Dream: /dream after large tasks or weekly to refresh global memory.

7. Voice: Speak prompts/commands; grant mic permissions.

8. Models: Free MiMo-V2.5 default; add API keys for DeepSeek/Kimi/GLM or Token Plan—complex reasoning may favor DeepSeek-Coder.

4. Pros and Cons

5. Comparison with Similar Tools

Selection advice: Cost, Chinese UX, open source, durable memory → MiMo Code. Mature IDE ecosystem → Cursor. Top multi-agent + Opus → Claude Code. Fast GitHub-centric completion → Copilot (weaker long-flow automation).

6. Editor’s Take

MiMo Code pushes coding assistants from completion to Agent. Persistent memory via subagents + Dream is more practical than hoping bigger context alone fixes forgetting—62% SWE-Bench Pro vs Claude Code’s 55% reflects that. Compose and aggressive pricing are compelling for indie/small teams; TUI and ecosystem lag Cursor.

Audience: Domestic individuals, SMBs, OSS maintainers, enterprises customizing agents—not IDE-first beginners or non-Python-heavy shops needing Opus-class reasoning.

— Innovation 5/5, utility 4.5/5, ecosystem 3/5, usability 4/5.

7. Use Cases

• Daily coding with Compose: Idea → tested module in hours.

• Large-repo refactor: 1M context + memory for safe cross-file changes.

• Full-stack scaffolding: React + Node + Postgres MVPs from one prompt.

• PR review bot: Diff analysis, tests, risk flags pre-merge.

• Voice-driven edits: Hands-busy workflows.

• Vertical forks: MIT allows Rust/embedded/blockchain flavors.

8. FAQ

Q: How long is the free MiMo-V2.5 channel?
A: Limited-time; no fixed end date—watch Xiaomi announcements. ~500k tokens/day cap without registration.

Q: Languages supported?
A: All major languages; best on Python, JS/TS, Java, Go—use DeepSeek/Claude for Rust/C++/Kotlin depth.

Q: Memory privacy?
A: Default ~/.mimo/memory local; third-party APIs may transmit prompts—use Ollama/local models or disable memory for secrets.

Q: Add other models?
A: Set model.provider and model.apiKey; OpenAI-compatible endpoints including local vLLM.

Q: Compose code quality?
A: 62% SWE-Bench Pro for MiMo-V2.5-Pro—good for clear modules; review bespoke business logic.

Q: Windows support?
A: Yes via npm CLI + Node 18+; Windows Terminal/VS Code recommended; voice less polished than macOS/Linux.

Q: Main gap vs Cursor?
A: Ecosystem maturity and IDE UX vs terminal TUI.

9. Project Links

• Site: https://mimo.xiaomi.com/mimocode
• GitHub: https://github.com/XiaomiMiMo/MiMo-Code
• MiMo models: https://mimo.xiaomi.com
• Install: https://mimo.xiaomi.com/install