MaxClaw — Cloud

What is MaxClaw and who developed it?

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.

What AI model powers MaxClaw?

MaxClaw is powered by MiniMax M2.5, a Mixture-of-Experts model with 229B total parameters and approximately 10B active parameters per token. It achieves up to 100 tokens per second, supports context windows of 200K to 1M tokens, and costs 1/7 to 1/20 of comparable models like Claude 3.5 Sonnet.

How do I deploy MaxClaw?

Deploying MaxClaw takes under 10 seconds. Visit the MiniMax Agent platform at agent.minimax.io, select MaxClaw from the navigation bar, click Deploy Now, then bind your preferred communication platform — Telegram, Discord, or Slack.

Does MaxClaw support long-term memory?

Yes. MaxClaw features persistent long-term memory spanning over 200,000 tokens. It retains context from previous conversations, remembers user preferences, and adapts to your working style over time.

Which platforms can MaxClaw integrate with?

MaxClaw supports one-click native integration with Telegram, Discord, and Slack, allowing your AI agent to operate directly within your existing communication channels.

How does MaxClaw compare to OpenClaw?

OpenClaw is the original open-source framework requiring 1.5GB+ RAM and Docker setup. MaxClaw serves as the official managed counterpart, providing the same core capabilities while handling all infrastructure in the cloud with zero maintenance.

How does MaxClaw differ from Kimi Claw?

MaxClaw focuses on raw agentic performance and cost efficiency (1/10 of Claude 3.5), while Kimi Claw by Moonshot AI emphasizes browser-centric productivity with 40GB cloud storage and 5,000+ community skills.

What tasks can MaxClaw handle?

MaxClaw supports web browsing, code execution, file analysis, automation scripts, schedule management, and multi-step reasoning workflows. Its M2.5 model is optimized for agentic tasks requiring chaining multiple tools autonomously.