Dev Tools
agav
Terminal-native AI coding assistant for real repositories.
★ 147 starsApache-2.0
View guide →// devtools · XiaomiMiMo/MiMo-Code
MiMo-Code
MiMo-Code is an open-source dev tools project by XiaomiMiMo (XiaomiMiMo/MiMo-Code on GitHub). It has 13,614 GitHub stars and 1,424 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
Xiaomi's terminal-native AI coding assistant where models and agents co-evolve, with project memory.
★ 13.6k stars⑂ 1.4k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- XiaomiMiMo/MiMo-Code
- GitHub stars
- 13,614
- Forks
- 1,424
- License
- MIT
- Last updated on GitHub
- 8 October 2026
- Category
- Dev Tools
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Install the CLI
Use the one-line installer for your platform or npm install -g @mimo-ai/cli, then run mimo.
- Connect a model provider
On first launch, log in with Xiaomi MiMo or Codex OAuth, import your Claude Code authentication, or add a provider API key or custom OpenAI-compatible endpoint.
- Start in your project
Open mimo in a project directory and describe a task; switch between build, plan and compose agents with Tab as the work demands.
- Let memory compound
As you work, MiMo-Code writes checkpoints and project memory automatically, so the next session resumes with context instead of starting cold.
// features
Why people love it
Multiple primary agents
build (full tool permissions), plan (read-only analysis and design) and compose (specs-driven orchestration) agents, switchable with Tab, plus on-demand subagents that work in parallel.
Persistent cross-session memory
Project memory (MEMORY.md), automatic session checkpoints, scratch notes and per-task progress, powered by SQLite FTS5 full-text search and injected when a session resumes.
Intelligent context management
Automatic checkpoints, context reconstruction from memory when the window fills, budgeted injection with importance ranking, and an adjustable compaction point per model.
Goal and stop conditions
The /goal command sets a stopping condition that an independent judge model evaluates before the agent may stop, preventing premature 'optimistic stops' in autonomous work.
Deterministic workflows
JavaScript workflows orchestrate multiple agents in fixed phase sequences with bounded retries - built-ins include compose (spec to merged code), deep-research, fact-check and research-experiment.
Built-in skills
Reusable skill instruction sets (arXiv search, document generation, data analytics and more) are matched and loaded automatically, and you can add your own.
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// run it
Run it yourself
- Clone the repository
Clone MiMo-Code if you want the source; most users install the released CLI instead.
git clone https://github.com/XiaomiMiMo/MiMo-Code.git cd MiMo-Code - Install the CLI
Install MiMo-Code with the one-line installer (macOS/Linux; a PowerShell installer exists for Windows).
curl -fsSL https://mimo.xiaomi.com/install | bash - Or install via npm, then run
Alternatively install the package globally from npm - available on all platforms - and launch it in your project.
npm install -g @mimo-ai/cli mimo
// use cases
What you can build
- Long-running feature work where the agent must remember architecture decisions across many sessions.
- Spec-driven development: taking a feature from spec through implementation, verification and review with the compose workflow.
- Autonomous optimization loops against a measurable metric, with keep/revert decisions and an audit trail.
- Deep research reports with cited sources, produced by parallel subagents from the terminal.
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// faq
Questions, answered
Who maintains MiMo-Code?
It is developed by Xiaomi's MiMo team and open-source contributors, under the slogan 'where models and agents co-evolve'.
Is MiMo-Code free to use?
The CLI is MIT-licensed and free. Model usage goes through the provider you connect - Xiaomi MiMo, a ChatGPT/Codex subscription via OAuth, or your own API keys.
Does it need a paid API key?
You need some model access: OAuth login to MiMo or Codex, imported Claude Code auth, a provider API key, or any OpenAI-compatible endpoint you control.
How does MiMo-Code compare with Claude Code or OpenCode?
Its headline differences are the persistent Markdown memory system with checkpoints, multiple built-in primary agents, judge-verified goal conditions, and deterministic multi-agent workflows.
How do I get started?
Run the one-line installer or npm install -g @mimo-ai/cli, type mimo in a project, and complete the guided first-launch provider setup.
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// more in devtools
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Get MiMo-Code
Free and open — grab the source, star the repo, and start creating.