On June 11, Xiaomi released MiMo Code — an AI coding assistant that runs in the terminal. It ships with a persistent memory system, Compose mode, and a dedicated Harness architecture. SWE-Bench Pro score: 62%, five points higher than Claude Code. Developers went wild.
But what about everyone else?
A lawyer, an accountant, an operations manager, a doctor — they all need Agentic AI to boost efficiency too. They can't use LangChain, can't configure a ReAct Agent, can't write Python. No matter how powerful MiMo Code is, it's still a terminal-based coding tool — only developers can use it.
That's exactly why MiMo SoloEngine exists.
1. What Problem Does MiMo Code Solve?
MiMo Code's core breakthrough is the persistent memory system. Traditional AI coding assistants "forget the more you use them" in long sessions — the context window fills up, and earlier conversations are lost. MiMo Code solves this with a triple mechanism: project memory, session checkpoints, and task progress. The main Agent focuses on the work; logging is entirely handled by an independent SubAgent. Window getting full? The SubAgent automatically compresses a clean briefing, and the main Agent carries on.
Combined with Compose mode, the user just presses Tab, gives a simple idea, and the system automatically runs the full pipeline — design → plan → code → test → review. From idea to production-grade code, one click.
That's how MiMo Code handles long-running tasks — keeping the AI sharp across hundreds of turns, never losing information, never going off track.
But here's the problem: these capabilities belong only to developers.
A lawyer won't open a terminal and type mimo. An accountant won't use Compose mode to write code. An operations manager won't configure a Harness system. They need equally powerful Agentic AI capabilities — but the entry point must be zero-code.
2. MiMo SoloEngine: Bringing Agentic AI to Every Industry
SoloEngine is the first low-code Agentic AI development platform in the Xiaomi ecosystem.
Its positioning is clear: let people in every industry build their own Agentic AI systems — the same way developers use MiMo Code for Vibe Coding.
How?
SoloEngine packages the ReAct architecture, tool calling, the MCP protocol, Skills, and SubAgents all behind the scenes. Users don't need to understand any of these technical terms — open a browser, drag an Agent onto a canvas, wire up collaboration relationships, configure the tools you need, and click run. The backend automatically compiles everything into a dedicated Agentic AI system.
This system is as powerful as MiMo Code itself: it plans tasks autonomously, executes operations autonomously, and feeds back results in real time. You just review and confirm.
No code needed. No complex if/else chains to configure.
3. MiMo Code's Long-Running Task Capabilities — SoloEngine Has Them Too
MiMo Code stays stable in long-running tasks because of two core designs: persistent memory and multi-Agent collaboration.
SoloEngine adopts the same philosophy at the architecture level:
Multi-Agent collaboration — SoloEngine supports multiple role-based Agents working together. The main Agent acts like a smart manager, deciding on its own when to call in which specialist SubAgent. One Agent's blind spot is caught by another; one Agent's judgment bias is corrected by another. This isn't a fixed A→B→C pipeline — it's real-time decision-making based on the current situation.
Progressive disclosure — each Agent's system prompt is only loaded when called; it consumes zero tokens when idle. MCP tools and Skills load on demand, cutting Token consumption by over 85%. This means even with a large Agent team, running costs stay manageable.
Topological compilation — the visual design on the canvas is compiled directly into a runnable Agent team. Each Agent runs a ReAct loop (think → act → observe → repeat), with the topological structure resolving parent-child relationships. At runtime, the entire system is true Agentic AI — not a preset Workflow.
4. A Concrete Scenario: Lawyer's Contract Review
A lawyer opens SoloEngine and drags three Agents onto the canvas:
- "Contract Review Agent" — responsible for analyzing contract clauses one by one
- "Legal Statute Search Agent" — responsible for matching relevant laws and regulations
- "Risk Flagging Agent" — responsible for marking potential risk points
Wire up the collaboration relationships, configure the tools, click run.
30 minutes later, a contract review report is automatically generated with 37 risk points flagged. Each risk flag comes with a cited legal statute and a suggested revision.
The entire process is zero-code. The lawyer doesn't need to understand LangChain, doesn't need to write Python, doesn't need to know what a ReAct architecture is. All they need to know is what their business process looks like — then draw it on the canvas.
That's what MiMo SoloEngine is built to do: bring the Agentic AI capabilities that developers get from MiMo Code to every industry.
5. Why Is Xiaomi the One Doing This?
Xiaomi's position is unique.
It has the MiMo LLM — ranked first globally on the Agent index among open-source models. It has MiMo Code — a coding Agent. It has an ecosystem foundation of 1 billion IoT devices and 746 million monthly active users. It has API costs made ultra-competitive after a 99% price cut.
But without an Agent-building platform that non-technical users can actually pick up, none of these resources can truly convert into business value.
MiMo Code is for developers. MiMo SoloEngine is for everyone.
MiMo provides the Agent's "brain"; SoloEngine provides the Agent's "hands and feet." Together, they let Xiaomi move from the strategic phase of "building models" to the phase of "building platforms" and "building services."
Developers use MiMo Code → Vibe Coding
Lawyers use MiMo SoloEngine → Vibe Lawyering
Accountants use MiMo SoloEngine → Vibe Accounting
Operations teams use MiMo SoloEngine → Vibe Marketing
Doctors use MiMo SoloEngine → Vibe Diagnosing
Every industry can have its own "MiMo Code."
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