MiniMax today announced the launch of MaxClaw, a new agent mode on the MiniMax Agent platform designed to make advanced AI agents instantly usable—without deployment friction, infrastructure setup, or tool wiring. MaxClaw is fully powered by MiniMax 2.5, MiniMax's open-source flagship model, and introduces native long-term memory, enabling agents that remember users, tasks, and preferences over time. This launch marks a significant step toward persistent, production-ready AI agents that require minimal technical overhead.
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. Key advantages include an open-source foundation for transparency, lower operating costs compared to closed alternatives, and instant cloud deployment with no local setup. Users can focus entirely on assigning work while MiniMax handles the infrastructure. The model's open-source nature allows for extensibility and community contributions, potentially accelerating innovation in agent-based AI systems.
A defining feature of MaxClaw is its built-in long-term memory system. Unlike 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 improve output consistency without repeated prompting. This transforms agents from single-task executors into persistent digital collaborators that grow more effective over time. For businesses and developers, this means reduced need for repetitive instructions and more personalized, context-aware interactions.
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 10,000+ ready-made expert agents spanning software development, creative writing, financial analysis, and market intelligence. Users can also create custom agents, publish them to the Expert community, and earn platform rewards—turning agent design into a reusable asset. Additionally, MaxClaw comes preloaded with practical skills including image generation, video generation, web search, and application deployment, with pre-assembled workflows for viral content discovery and multi-agent research teams.
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. 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. This frictionless experience lowers the barrier for non-technical users to leverage advanced AI agents.
The implications of this announcement are substantial. By combining open-source models, long-term memory, and one-click deployment, MiniMax is positioning MaxClaw as a cost-effective alternative to proprietary agent systems. The platform's ability to remember and learn from past interactions could lead to more efficient automation in business processes, while the open-source foundation may foster a community of developers building specialized agents. However, the reliance on MiniMax's proprietary platform for memory and deployment could raise questions about data privacy and vendor lock-in. Overall, MaxClaw represents a shift from experimental agents to reliable, persistent AI workers that could transform how organizations approach task automation.
MaxClaw is available now on the MiniMax Agent platform. For more details, visit maxclaw.ai.
