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MiniMax Launches MaxClaw: A One-Click Agent System Powered by MiniMax 2.5 with Built-In Long-Term Memory





An open-source, cloud-native agent powered by MiniMax 2.5, featuring one-click deployment, built-in skills, and long-term memory for persistent AI workflows.

SAN FRANCISCO, CA, February 27, 2026 /24-7PressRelease/ -- 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 a critical production-grade capability: native long-term memory. Together, these features enable agents that are not only powerful and affordable, but also persistent—able to remember users, tasks, and preferences over time.

MaxClaw is available now, with product details and hands-on access at maxclaw.ai.

Powered by MiniMax 2.5: Open, Low-Cost, Cloud-Native
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 characteristics.

Key advantages include:
Open-source foundation for transparency and extensibility
Lower operating cost compared to closed, proprietary alternatives
Instant cloud deployment, no local setup or environment management
Users can focus entirely on assigning work—MiniMax handles the rest.

Long-Term Memory: Agents That Learn and Persist
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 reuse it intelligently
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.

True One-Click Setup for OpenClaw and Beyond
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 and content production
Financial analysis and investment research
Market intelligence and trend tracking

Users can also create custom agents, publish them to the Expert community, and earn platform rewards—turning agent design into a reusable asset.

Built-In Skills, Ready to Work
MaxClaw comes preloaded with practical, production-ready skills, including:

mage generation and image search
Video generation
Web search and real-time trend tracking
Application deployment

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.

Seamless Integration With Workplace Tools
MaxClaw integrates directly with collaboration platforms such as Feishu and DingTalk. Tasks can be assigned through everyday chat interfaces, eliminating context switching.

From clicking "Create MaxClaw" to a running agent gateway takes under 20 seconds. Optional integrations follow guided steps and require minimal configuration.

From Intent to Results—Without Friction
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.

With long-term memory, built-in skills, and MiniMax 2.5 at its core, MaxClaw represents a shift from experimental agents to reliable, persistent AI workers.

Try MaxClaw Today
MaxClaw is available now on the MiniMax Agent platform.
https://maxclaw.ai/

About MiniMax

MiniMax builds open, scalable AI models and agent systems focused on real-world execution. Its Agent platform aims to move AI beyond conversation—toward memory-enabled, action-oriented intelligence.

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