MaxClaw: Is This the Ultimate Replacement for OpenClaw?
OpenClaw is arguably the most impossible-to-ignore open-source AI project of early 2026.
What started as a weekend side project in late 2025 has grown into a phenomenon: over 220,000 GitHub stars and millions of weekly visits, pushing the idea of locally deployed AI agents far beyond niche hacker circles and into mainstream discussion.
But alongside the hype, one very practical sentiment has never gone away:
“I want to use it — I just don’t know how to install it.”
Environment setup, cloning repos, configuring API keys, editing config.toml, wiring up Telegram or Slack… none of these steps are individually hard. Taken together, they’re enough to stop most non-technical users cold. In the OpenClaw Discord, deployment questions have consistently been the most common category.
This week, MiniMax offered a clear response.
They introduced MaxClaw: a fully hosted, cloud version of OpenClaw, integrated directly into the MiniMax Agent web interface. At the same time, they upgraded their expert agent system to Expert 2.0.
Two announcements, one shared goal: lower the barrier to entry.
What MaxClaw Actually Is
The short version: MaxClaw is OpenClaw running on MiniMax’s cloud.
Under the hood, it’s powered by MiniMax M2.5, a model released only recently but already notable. Within a week of launching on OpenRouter, it climbed to the top of the token usage charts. On SWE-Bench Verified, it scored 80.2%, with programming and agent-style tasks as its clear strengths.
MaxClaw packages those capabilities into a browser-based product.
There’s no need to provision servers or manage API keys. You log into the MiniMax Agent website, click MaxClaw in the sidebar, and within seconds the agent is live.
Tools, Skills, and What’s Included by Default
Functionally, MaxClaw builds on OpenClaw’s original capabilities—image understanding, video understanding, web extraction, search—and extends them with a set of built-in tools:
Image generation
Video generation
Image search
Web app deployment
Crucially, these tools don’t require third-party API setup and don’t incur extra fees. You can chain tasks end to end: search for news, find images, write copy, and package the output in one run. You can also connect it to Notion for structured archiving, or use the built-in arXiv search skill to create a live academic paper monitor.
Like OpenClaw, MaxClaw supports integrations with Slack, Feishu, Telegram, and DingTalk. The difference is in usability. Instead of reading documentation, you can simply ask MaxClaw how to connect a platform. It walks you through the process step by step. No code required.
Once connected, you effectively gain a 24/7 always-online assistant inside your work channels—ready to be @-mentioned for research, drafting, meeting summaries, or task breakdowns.
MaxClaw vs OpenClaw: Which One Should You Choose?
This is the first question most people ask when they see MaxClaw.
The answer depends on who you are.
OpenClaw (Open Source) vs MaxClaw (MiniMax)
| Dimension | OpenClaw (Open Source Version) | MaxClaw (MiniMax Version) |
|---|---|---|
| Deployment Method | Self-hosted: local PC, VPS, Mac mini, home server, etc. Requires manual setup: install Node.js, configure environment, pull code, run services | Cloud-hosted: log in to agent.minimax.io or agent.minimaxi.com → click MaxClaw in the left menu → ready in seconds. No server or environment setup required |
| API Key Setup | Required. You must prepare your own model API keys (e.g. Claude, MiniMax M2.5, Kimi, DeepSeek, GLM). Costs are paid by the user | Generally not required. Uses MiniMax’s own M2.5 model by default. No external API fees (consumes platform credits instead) |
| Runtime Status | Online only when your machine is running. Shutdowns, network drops, or reboots cause downtime. Uptime must be maintained by the user | Cloud-based, 24/7 always-on. Maintained by MiniMax infrastructure |
| Ease of Getting Started | Medium–high difficulty: requires basic command-line knowledge, editing config.toml, integrating chat tools (Telegram / WhatsApp / Discord / Slack), and debugging |
Extremely easy: natural language chat out of the box. Beginner-friendly. ~10 seconds to start |
| Built-in Tools / Skills | 3000+ community open-source plugins, but you must discover, install, and configure them yourself | Officially curated expert-level skills (deal hunting, multi-agent research, trend tracking, image/search/video generation, app deployment). Works out of the box and can directly call thousands of expert agents |
| Storage & Memory | Local storage or self-configured storage. Full data ownership and control | Includes 50 GB dedicated cloud storage + long-term memory. Data is stored in MiniMax cloud (privacy trade-off for convenience) |
| Integration Ecosystem | Flexible support for arbitrary models and IM tools, but requires manual integration | Deep integration with the MiniMax Agent ecosystem (Expert 2.0 agents directly callable). Supports Feishu, DingTalk, and other IM tools; mobile support planned |
| Cost | Model API fees + VPS / hardware / electricity costs. Can be very low with inexpensive models (e.g. MiniMax M2.5) | Credit-based pricing: basic users receive 1000 credits initially + 200 credits daily (free tier covers most daily use). Subscription required for heavy usage |
| Privacy / Control | Highest: fully local or self-hosted. Data never leaves your own devices | Medium: data stored in MiniMax cloud (with security and compliance guarantees). Best for non-sensitive tasks |
| Target Users | Power users, developers, privacy-sensitive users, people who want deep customization | General users, those who want to experience OpenClaw without deployment hassle, MiniMax ecosystem users |
| Current Status | Actively maintained open-source project (official site: https://openclaw.ai), community-driven |
Newly launched experimental feature (late Feb 2026). Rapidly gaining traction; often described as the “first major OpenClaw cloud offering in China” |
Deployment and Setup
OpenClaw requires self-deployment. You can run it locally, on a VPS, or on a Mac mini—but you’ll need to install Node.js, configure the environment, connect messaging platforms, and debug issues yourself.
MaxClaw is one-click cloud deployment. Log in at agent.minimax.io, click, and it’s ready in about ten seconds.
Availability
OpenClaw depends on your own machine. Shut it down, and the agent goes offline.
MaxClaw runs continuously in the cloud, available 24/7.
Tools and Skills
OpenClaw relies on a community ecosystem of 3,000+ open-source plugins. The flexibility is high, but selection and configuration are on you.
MaxClaw comes with a curated set of official skills out of the box—trend tracking, multi-agent research teams, image/search/video generation, app deployment—and remains compatible with OpenClaw’s ClawHub skills. It can also directly invoke over 16,000 expert agents on the MiniMax platform.
Storage, Privacy, and Cost
OpenClaw keeps all data local, offering maximum privacy and control.
MaxClaw includes 50 GB of cloud storage and long-term memory, with data hosted on MiniMax’s servers—a convenience-for-privacy trade-off.
In terms of cost, OpenClaw expenses come from model APIs and hardware or electricity. MaxClaw uses a credit system: the basic plan includes an initial 1,000 credits plus 200 daily credits, which is sufficient for most routine use.
This is not a “replacement” story.
OpenClaw is for developers, tinkerers, and users with strict privacy or customization requirements. MaxClaw is for general users, creators, and teams who want something that works immediately.
What MiniMax has done is add a cloud layer on top of the OpenClaw ecosystem—shifting the threshold from “able to write code” to “able to type.”
Expert 2.0 and the MiniMax Agent Ecosystem
Alongside MaxClaw, MiniMax also released Expert 2.0, a major update to its expert agent system.
The MiniMax Agent interface is straightforward. The top half of the sidebar is the MiniMax Lab section (where MaxClaw lives). The lower half is the Expert module. Inside “Explore Experts,” you’ll find a categorized community covering technical development, creative writing, office productivity, finance, marketing, education, design, and audio/video work. Each expert lists its creator and usage metrics.
The key change in Expert 2.0 is how experts are created.
Previously, building an expert agent meant manually defining skills, arranging sub-agents, configuring MCP connections, and structuring prompts—manageable for developers, intimidating for everyone else.
Now, you simply describe the goal in natural language. The system automatically handles SOP design, tool orchestration, and capability configuration.
For example, if you want an expert focused on AI and technology news, you can create or reuse an existing one that tracks relevant topics, summarizes daily updates, and even generates interactive polls.
As of now, over 16,000 expert agents have been created and used on the platform. MiniMax has also outlined what’s next: creator pricing and revenue sharing (experts can be monetized per call), and team-level expert sharing so individual expertise becomes shared infrastructure.
The intent is clear. MiniMax isn’t just shipping an AI product—it’s building an agent ecosystem. Expert agents are the content, MaxClaw is the entry point, and MiniMax M2.5 is the foundation. Together, they form a closed loop from model capability to application distribution.
Final Thoughts
What MiniMax did here isn’t technically flashy. The idea is almost straightforward: OpenClaw is powerful but hard to set up, so remove the setup. Expert agents are valuable but tedious to configure, so let natural language handle it.
The product judgment, however, is sound.
In the agent space right now, the biggest bottleneck isn’t model capability. It’s the gap between “technically possible” and “pleasant to use.”
MaxClaw still has things to prove. Cloud hosting means giving up some data control. Whether the credit model remains cost-effective long term, and how stable MiniMax M2.5 is across diverse workloads, will only become clear with time and user feedback.
But at this moment, MaxClaw offers a very clear option: if OpenClaw intrigued you but you never quite took the plunge, this is the lowest-friction way to try it.
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