The new MiMo Code platform combines AI-powered coding, workflow automation and long-term memory capabilities, as Xiaomi positions itself in the growing market for developer-focused artificial intelligence tools.
Chinese technology company Xiaomi has introduced MiMo Code v0.1.0, an open-source artificial intelligence coding assistant designed to help software developers manage complex programming tasks directly from the command-line environment.
The launch marks Xiaomi’s latest push into the rapidly evolving AI software development space, where companies are increasingly focusing on tools that can automate coding, testing and project management workflows.
MiMo Code is built on top of the open-source OpenCode framework and is powered by Xiaomi’s MiMo V2.5 multimodal AI model. The company said the assistant is capable of writing and reviewing code, executing commands, handling version-control operations and retaining project context across multiple development sessions.
Available through GitHub under an MIT licence, the tool can be installed on macOS, Linux and Windows systems. Xiaomi has also made MiMo V2.5 available free of charge for a limited period, offering developers access to a model with a context window of up to one million tokens.
Focus on memory and workflow automation
According to Xiaomi, MiMo Code has been designed to support long-running software projects that require extensive planning and execution. The company says the platform incorporates persistent memory features that allow it to store and recall project knowledge, reducing the need for developers to repeatedly provide context.
The assistant can also perform tasks such as testing, code validation and workflow management. Xiaomi noted that the platform follows a structured process that can move from planning and specification stages through development and reporting.
Additional capabilities include voice interaction, support for multiple AI providers and compatibility with existing developer workflows. The company said the system can coordinate multiple AI agents, track task hierarchies and experiment with parallel reasoning techniques aimed at improving productivity.
Performance claims draw attention
Xiaomi has also highlighted benchmark results suggesting that MiMo Code performs strongly on software engineering tasks. Based on internal evaluations, the company claims the platform achieved higher scores than Anthropic’s Claude Code on selected coding benchmarks, particularly those involving lengthy, multi-step assignments.
The company attributed part of the reported performance gains to its agent framework, memory architecture and workflow management capabilities rather than solely to the underlying language model.
However, the benchmark results were generated through Xiaomi’s own testing and have not yet been independently verified. Industry observers often caution that AI benchmark comparisons can vary significantly depending on testing methodologies and selected workloads.
The launch reflects a broader trend within the AI industry, where companies are increasingly focusing on agent design, memory systems and task orchestration as key differentiators. As AI coding assistants become more sophisticated, developers are expected to evaluate platforms not only on coding accuracy but also on how effectively they manage complex, long-term software projects.
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