MaxClaw is the official cloud-hosted AI agent by MiniMax, built on the open-source OpenClaw framework and powered by the MiniMax M2.5 model. Deploy a persistent, intelligent assistant in 10 seconds — no servers, no Docker, no API keys to manage.
Core Features
MaxClaw combines the flexibility of the OpenClaw ecosystem with MiniMax's cloud infrastructure and the M2.5 foundation model — delivering an AI agent that is instantly live, deeply integrated, and built to remember.
One-click "Deploy Now" sets up your entire cloud environment in under 10 seconds. No server provisioning, no Docker configuration, no manual API key rotation required. MaxClaw is always-on and fully managed by MiniMax infrastructure.
Connect MaxClaw to Telegram, Discord, and Slack with a single click. Your AI agent lives where you already work — embedded directly into your daily communication channels for seamless, friction-free interaction.
MaxClaw features persistent long-term memory spanning over 200,000 tokens. It recalls previous conversations, adapts to your preferences, and evolves its understanding of your working style over time.
Define your agent's name, personality, and behavioral traits. Whether you need a professional research assistant, a creative writing mentor, or a technical coding partner, MaxClaw adapts to your specified role and tone.
MaxClaw fully inherits the OpenClaw tool ecosystem, supporting web browsing, code execution, file analysis, automation scripts, and schedule management. It handles complex multi-step workflows autonomously.
Powered by the MiniMax M2.5 model, MaxClaw delivers frontier-level intelligence — comparable to Claude 3.5 Sonnet — at just 1/7 to 1/20 of the cost. This makes high-frequency automated tasks economically viable at scale.
Under the Hood
The MiniMax M2.5 foundation model combines a Mixture-of-Experts architecture with MiniMax's proprietary Lightning Attention, delivering high-performance reasoning at a fraction of the computational cost.
| MiniMax M2.5 — Technical Specifications | |
|---|---|
| Architecture | Mixture of Experts (MoE) |
| Total Parameters | 229 Billion |
| Active Parameters per Token | ~10 Billion |
| Context Window | 200K – 1M Tokens |
| Inference Speed | Up to 100 Tokens/s |
| Cost vs. Claude 3.5 | 1/7 to 1/20 |
| Strengths | Code generation, multi-step tool calling, logical reasoning |
MiniMax's models are built on a hybrid architecture that interleaves seven Lightning Attention layers with one traditional SoftMax attention layer. Lightning Attention is a linear attention mechanism that eliminates the quadratic scaling bottleneck of standard Transformers — enabling context windows up to 4 million tokens in the MiniMax-01 series.
The Mixture-of-Experts design means that although the M2.5 model contains 229 billion total parameters, only approximately 10 billion are activated for any given token. This sparse activation pattern delivers intelligence comparable to dense models at a dramatically lower compute cost.
For MaxClaw users, this translates to fast, affordable responses with strong reasoning capabilities — whether you are running code analysis, multi-step research workflows, or complex conversational interactions.
Why MaxClaw
By leveraging the M2.5 model's sparse activation, MaxClaw offers frontier-level intelligence at a fraction of the price of comparable platforms. This makes it viable for high-frequency automated tasks — such as continuous monitoring, bulk content processing, and scheduled analysis — that would be prohibitively expensive on other services.
Unlike self-hosted alternatives such as OpenClaw or ZeroClaw, which require ongoing server maintenance, dependency updates, and security patches, MaxClaw is fully managed by MiniMax. There are no servers to provision, no binaries to compile, and no infrastructure to monitor. It is always-on and always current.
MaxClaw connects directly to Telegram, Discord, and Slack out-of-the-box — allowing the AI agent to live where users already work. This native integration eliminates the manual configuration, webhook setup, and bot token management required by self-hosted Claw variants.
Ecosystem
The "Claw" series of AI agent frameworks spans managed cloud services, self-hosted platforms, and ultra-lightweight runtimes. Here is how MaxClaw compares to its primary alternatives.
| Feature | MaxClaw | Kimi Claw | OpenClaw | ZeroClaw | PicoClaw |
|---|---|---|---|---|---|
| Developer | MiniMax | Moonshot AI | Community (OS) | Independent (OS) | Sipeed (OS) |
| Foundation Model | MiniMax M2.5 | Kimi K2.5 | Bring Your Own | Bring Your Own | Bring Your Own |
| Language / Runtime | Node.js (Cloud) | Node.js (Cloud) | Node.js | Rust | Go |
| Memory | 200K+ Tokens | ~40 GB Storage | 1.5 GB+ RAM | ~7.8 MB RAM | <10 MB RAM |
| Deployment | 10s Cloud Setup | Browser / Cloud | Local / Docker | System Daemon | Embedded / IoT |
| Cost | 1/10 of Claude 3.5 | Platform Credits | API + Server | API + Hardware | API + Hardware |
| Best For | Productivity, complex workflows | Browser-centric tasks | Full privacy, self-host | Edge, high performance | IoT, embedded systems |
Both MaxClaw and Kimi Claw are managed cloud services that eliminate the technical friction of self-hosting. MaxClaw leverages the MiniMax M2.5 model optimized for agentic tasks like multi-step tool calling and complex reasoning. Kimi Claw by Moonshot AI is deeply integrated into the Kimi browser ecosystem, emphasizing massive cloud storage (40 GB) and a library of over 5,000 community-contributed skills. MaxClaw focuses on raw performance and lower cost, while Kimi Claw focuses on ecosystem depth and browser-centric productivity.
OpenClaw is the original open-source framework that started the Claw movement. It is highly flexible but resource-intensive — typically requiring over 1.5 GB of RAM and a Node.js runtime (~390 MB overhead), with Docker or manual server configuration. MaxClaw serves as the official managed counterpart, providing the same core capabilities — long-term memory and tool execution — while handling all infrastructure in the cloud. For users who prefer not to manage a VPS or handle API key rotations, MaxClaw is the pragmatic choice.
Use Cases
MaxClaw serves a broad range of users — from non-technical individuals seeking an out-of-the-box AI assistant to developers building complex automated workflows.
Those who want to experience the power of AI agents without technical setup. MaxClaw's one-click deployment and intuitive platform integration make it accessible to anyone — no coding, no servers, no configuration.
Engineers and researchers who need to leverage complex toolchains for automation, long-text analysis, code generation, and multi-step reasoning workflows. MaxClaw's M2.5 model delivers strong coding and agentic task performance.
Heavy Telegram, Discord, and Slack users who want AI capabilities embedded directly within their existing communication channels — eliminating context switching between tools and chat platforms.
Individuals and teams seeking a low-cost, high-performance, maintenance-free cloud AI assistant for daily productivity tasks. MaxClaw's cost efficiency makes continuous, high-frequency automation economically viable.
Getting Started
From zero to a fully operational AI agent in under a minute. No technical background required.
Choose MaxClaw from the left navigation bar to begin the setup process.
Click the "Deploy Now" button for one-click cloud deployment. Your agent is live within 10 seconds.
Follow the instructions to bind Telegram, Discord, or Slack — and start conversing with your AI agent.
About
Founded in 2021, MiniMax is one of China's "Six AI Tigers" and a global leader in foundation model development and AI-native consumer products. The company went public on the Hong Kong Stock Exchange on January 9, 2026, with its stock price surging over 100% on debut.
MiniMax's technical strategy is defined by a departure from standard Transformer-only architectures. The company pioneered Lightning Attention — a linear attention mechanism that eliminates the quadratic complexity of traditional Transformers. The MiniMax-01 and M1 series use a hybrid structure of seven Lightning Attention layers followed by one SoftMax attention layer, enabling a 4-million token context window.
The Mixture-of-Experts (MoE) architecture across the M2.5 and M1 models allows for high intelligence at a fraction of the computational cost. The M2.5 model, which powers MaxClaw, contains 229 billion total parameters but activates only approximately 10 billion per token.
Hailuo AI — MiniMax's multimodal assistant, powered by Video-01, supports high-fidelity video generation at 720p/25fps. It serves over 5.6 million monthly active users and is the company's flagship for video and research applications.
Xingye (Talkie) — A global social and roleplay AI platform with persistent memory and voice interaction. Talkie has reached over 200 million users across 200 countries, making it one of the most successful AI-native consumer products worldwide.
MiniMax Agent — The cloud-managed agent platform that hosts MaxClaw, focused on one-click deployment of autonomous AI agents for productivity and complex workflow automation.
FAQ
MaxClaw is a cloud-hosted AI agent officially launched by MiniMax on February 25, 2026. Built on the open-source OpenClaw framework and integrated into the MiniMax Agent platform, MaxClaw provides a fully managed, always-on AI assistant that requires no server setup, Docker configuration, or API key management. MiniMax — one of China's "Six AI Tigers" and a publicly listed company on the Hong Kong Stock Exchange — develops and maintains MaxClaw as part of its broader AI product ecosystem.
MaxClaw is powered by the MiniMax M2.5 foundation model. M2.5 uses a Mixture-of-Experts (MoE) architecture with 229 billion total parameters, of which approximately 10 billion are activated per token. This sparse activation design delivers frontier-level intelligence — with strong performance in code generation, multi-step tool calling, and logical reasoning — while keeping inference costs at just 1/7 to 1/20 of comparable models like Claude 3.5 Sonnet. The model supports context windows ranging from 200K to 1 million tokens and achieves inference speeds of up to 100 tokens per second.
Deploying MaxClaw takes under 10 seconds with no technical background required. Visit the MiniMax Agent platform at agent.minimax.io, select MaxClaw from the navigation bar, and click "Deploy Now" for one-click cloud setup. Once deployed, follow the on-screen instructions to bind your preferred communication platform — Telegram, Discord, or Slack — and your MaxClaw agent is immediately ready to use.
Yes. MaxClaw features persistent long-term memory spanning over 200,000 tokens. Unlike stateless chatbots that reset after each session, MaxClaw retains context from previous conversations, remembers user preferences, adapts to your working style, and builds a continuous understanding of your needs over time. This persistent memory is managed entirely in MiniMax's cloud infrastructure — no local storage or database configuration needed.
MaxClaw supports one-click native integration with Telegram, Discord, and Slack. Once connected, your MaxClaw agent operates directly within your existing communication channels, allowing you to interact with it alongside your regular conversations. This eliminates context switching between separate AI tools and chat platforms — a feature that requires manual webhook and bot token configuration in self-hosted alternatives like OpenClaw or ZeroClaw.
OpenClaw is the original open-source AI agent framework that inspired the entire Claw ecosystem. It offers maximum flexibility but requires significant resources — typically over 1.5 GB of RAM, a Node.js runtime (~390 MB overhead), and Docker or manual server configuration. MaxClaw serves as the official managed counterpart: it provides the same core capabilities — long-term memory, tool execution, and the OpenClaw plugin ecosystem — while handling all infrastructure in the cloud. For users who prefer not to manage a VPS, rotate API keys, or maintain server dependencies, MaxClaw is the zero-maintenance alternative.
Both MaxClaw and Kimi Claw are managed cloud AI agent services, but they serve different priorities. MaxClaw, powered by MiniMax M2.5, focuses on raw agentic performance — multi-step tool calling, complex reasoning, and code generation — at significantly lower cost (1/10 of Claude 3.5). Kimi Claw by Moonshot AI is deeply integrated into the Kimi browser ecosystem, emphasizing massive cloud storage (40 GB) and a library of over 5,000 community-contributed skills. Choose MaxClaw for cost-efficient autonomous workflows; choose Kimi Claw for browser-centric productivity and ecosystem depth.
MaxClaw fully inherits the OpenClaw tool ecosystem and supports a wide range of complex tasks: web browsing and research, code execution and generation, file analysis and document processing, automation scripts, schedule management, and multi-step reasoning workflows. Its M2.5 model is specifically optimized for "agentic tasks" — operations that require chaining multiple tools and steps together autonomously. MaxClaw can serve as a research assistant, coding partner, content analyst, workflow automator, or general-purpose productivity agent.
MaxClaw offers radical cost efficiency. Powered by the MiniMax M2.5 model's sparse Mixture-of-Experts architecture, it delivers intelligence comparable to Claude 3.5 Sonnet at just 1/7 to 1/20 of the cost. This makes MaxClaw economically viable for high-frequency automated tasks — such as continuous monitoring, bulk content processing, and scheduled analysis — that would be prohibitively expensive on other platforms. MiniMax Agent provides a free tier for getting started, with usage-based pricing for production workloads.
Yes. MaxClaw supports full persona customization. You can define your agent's name, personality traits, communication tone, and behavioral guidelines. Whether you need a formal professional research assistant, a creative writing mentor, a concise technical coding partner, or a friendly conversational companion, MaxClaw adapts to your specified role. Combined with persistent long-term memory, your customized MaxClaw agent evolves its understanding of your preferences over time, delivering an increasingly personalized experience.