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MiniMax Launches MaxClaw: One-Click AI Agents with Built-In Long-Term Memory

By Advos

TL;DR

MiniMax's MaxClaw provides instant AI agent deployment with long-term memory, offering a cost advantage over proprietary alternatives and ready-made expert agents for various industries.

MaxClaw operates on MiniMax 2.5's open-source model with native long-term memory, enabling persistent agents through cloud-native deployment and one-click setup without infrastructure management.

MaxClaw's persistent agents remember user preferences and improve over time, creating more effective digital collaborators that enhance productivity and knowledge retention in daily work.

MaxClaw agents can generate images and videos, track real-time trends, and assemble research teams, transforming from single-task tools into growing digital collaborators.

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MiniMax Launches MaxClaw: One-Click AI Agents with Built-In Long-Term Memory

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 a critical production-grade capability: native long-term memory. These features enable agents that are not only powerful and affordable but also persistent—able to remember users, tasks, and preferences over time.

MaxClaw represents a significant advancement in making AI agents practical for everyday business use. The built-in long-term memory system allows MaxClaw agents to 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, addressing a key limitation of previous stateless AI assistants.

The system delivers a genuine one-click experience, particularly for the OpenClaw ecosystem. From the MiniMax Agent web interface at https://maxclaw.ai, 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 and content production, financial analysis and investment research, and market intelligence and trend tracking.

MaxClaw 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 the technical barriers to implementing AI solutions.

The system 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.

The importance of this development lies in its potential to democratize access to sophisticated AI capabilities while addressing the memory limitations that have constrained previous AI agent systems. By combining the open-source, low-cost MiniMax 2.5 model with persistent memory and one-click deployment, MiniMax is positioning MaxClaw as a shift from experimental agents to reliable, persistent AI workers that can integrate seamlessly into business workflows. This could accelerate AI adoption across industries by reducing implementation complexity and creating AI assistants that genuinely learn and adapt to user needs over extended periods.

Curated from 24-7 Press Release

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