MiniMax has launched MaxClaw, a new agent mode on its MiniMax Agent platform designed to make advanced AI agents instantly usable without deployment friction, infrastructure setup, or tool wiring. The system is fully powered by MiniMax 2.5, the company's open-source flagship model, and introduces native long-term memory as a critical production-grade capability. These features enable agents that are not only powerful and affordable but also persistent—able to remember users, tasks, and preferences over time.
MaxClaw is built end-to-end on MiniMax 2.5, an open-source model recognized for strong reasoning, low inference cost, and cloud-first deployment characteristics. This open-source foundation provides transparency and extensibility while offering lower operating costs compared to closed, proprietary alternatives. The system features instant cloud deployment with no local setup or environment management required, allowing users to focus entirely on assigning work while MiniMax handles the technical infrastructure.
The defining feature of MaxClaw is its built-in long-term memory system, which distinguishes it from stateless assistants. MaxClaw agents can remember user preferences and working styles, retain context across days or weeks of interaction, accumulate knowledge from past tasks and reuse it intelligently, and improve output consistency without repeated prompting. This transforms MaxClaw from a single-task executor into a persistent digital collaborator that grows more effective over time, representing a significant advancement in practical AI implementation.
MaxClaw delivers a genuine one-click experience for the OpenClaw ecosystem. From the MiniMax Agent web interface, users can activate a fully configured agent without manual deployment, API configuration, or model selection. For users who don't need OpenClaw specifically, the platform already provides over 10,000 ready-made expert agents spanning software development, creative writing and content production, financial analysis and investment research, and market intelligence and trend tracking. Users can also create custom agents, publish them to the Expert community, and earn platform rewards, turning agent design into a reusable asset.
The system comes preloaded with practical, production-ready skills including image generation and image search, video generation, web search and real-time trend tracking, application deployment, and pre-assembled workflows such as viral content discovery and multi-agent research teams. Compared to traditional DIY deployments, MaxClaw offers a fully furnished, move-in-ready experience that reduces implementation barriers for organizations of all sizes.
MaxClaw integrates directly with collaboration platforms such as Feishu and DingTalk, allowing tasks to be assigned through everyday chat interfaces and eliminating context switching. From clicking "Create MaxClaw" to a running agent gateway takes under 20 seconds, with optional integrations following guided steps and requiring minimal configuration. In real-world use, MaxClaw interprets natural language instructions, resolves relative time references, executes multi-step reasoning, and returns both analysis and generated assets in a single flow without additional setup.
With long-term memory, built-in skills, and MiniMax 2.5 at its core, MaxClaw represents a shift from experimental agents to reliable, persistent AI workers. The system is available now on the MiniMax Agent platform, with product details and hands-on access at https://maxclaw.ai/. This development marks a significant step toward memory-enabled, action-oriented intelligence that could transform how businesses leverage AI for sustained productivity gains and improved workflow automation.
