What is MaxClaw AI?
Maxclaw is a cloud-hosted AI agent built on the OpenClaw framework and the minimax m2.5 foundation model.One-click deploy provisions servers, configures Docker, and launches a persistent, always-on agent in about 10 seconds.
Integrations include Telegram, Discord, and Slack for in-channel assistants without additional webhook or bot-token setup.maxclaw provides persistent long-term memory (200,000+ token context) and customizable persona settings for role, tone, and behavior.
The toolchain supports web browsing, code execution, file analysis, automation scripts, and schedule management for multi-step workflows.minimax m2.5 uses a mixture-of-experts architecture with lightning attention to enable large context windows (200k–1M tokens), sparse activation (~10B active parameters from 229B total), and improved compute efficiency versus dense models.
Target users include non-technical individuals seeking out-of-the-box assistants, developers and researchers building automated workflows and code agents, and teams embedding AI into messaging platforms for continuous monitoring and high-frequency automation.
MaxClaw AI user reviews
Based on 3 reviews, 100.0% of users recommend MaxClaw AI, rated highly for quality results.
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MaxClaw AI's key features
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Cloud-hosted AI agent built on the openclaw framework and minimax foundation model
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One-click deployment that provisions servers, configures Docker, and launches a persistent always-on agent
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Built-in integrations with Telegram, Discord, and Slack for in-channel assistants without webhook or bot-token setup
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Persistent long-term memory and customizable persona settings (role, tone, behavior)
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Toolchain supporting web browsing, code execution, file analysis, automation scripts, and schedule management for multi-step workflows
MaxClaw AI use cases
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Deploy a persistent multichannel customer-support agent with one‑click deployment that lives on Telegram/Discord/Slack, leverages 200k+ token memory to retain customer profiles and ticket history, uses browsing and file-analysis tools to fetch up-to-date knowledge-base articles, and automates common workflows like refunds, status updates and escalation to human agents
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Build a personalized developer assistant persona that executes code, runs tests and analyzes project files in-cloud, keeps long-term context across sprints using the large-context memory, integrates into Slack for instant code reviews and CI troubleshooting, and automates routine tasks such as dependency updates, build deployments and rollback scripts
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Create an automated research and content-production agent that uses browsing and the mixture-of-experts model to gather and synthesize sources, stores long-term project memory to maintain consistent voice and citations across campaigns, integrates with Discord/Telegram for collaborative editing, and automates file generation, formatting and publishing workflows
Who is it for?
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Tech novices
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Automation developers
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Data researchers
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Automation teams
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Monitoring teams