MiniMax Releases MaxClaw: Cloud-Hosted AI Agent Based on OpenClaw
What MaxClaw Is
MaxClaw is MiniMax's official cloud-hosted AI agent built on the open-source OpenClaw framework. It's a fully managed service that allows deployment of a persistent assistant in 10 seconds without requiring Docker, servers, or API key rotations.
Technical Specifications
The agent is powered by the MiniMax M2.5 model, which features:
- 229 billion parameter Mixture-of-Experts (MoE) architecture
- Proprietary Lightning Attention for high-speed inference
- Up to 100 tokens/second inference speed
- Massive context window of 200,000 to 1,000,000 tokens
Cost and Performance Claims
According to the source, MaxClaw delivers reasoning and coding capabilities comparable to Claude 3.5 Sonnet at 1/7 to 1/20 of the cost. The source notes this is a claim that requires verification through bench-testing.
Built-in Features
The agent comes with:
- Persistent long-term memory of over 200,000 tokens
- Support for web browsing, code execution, and file analysis autonomously
- One-click integrations with Telegram, Discord, and Slack
Practical Use Cases
The source suggests MaxClaw is particularly useful for community management or daily communication channels due to its direct messaging platform integrations. It's positioned as a pragmatic alternative to resource-heavy local setups.
The source raises questions about whether the M2.5 model holds up against custom setups for complex multi-step tool calling in real-world scenarios, suggesting this would require bench-testing.
📖 Read the full source: r/openclaw
👀 See Also
Nvidia's Nemotron 3 Super: 120B Parameter Model with 12B Active Inference
Nvidia's Nemotron 3 Super has 120 billion total parameters but only activates 12 billion during inference, achieving 120B model knowledge at roughly 12B compute cost through efficient routing rather than compression.
Claude Pro User Reports 5-Hour Usage Window Burned on Single Prompt with No Output
A Claude Pro user reports that a single prompt consumed their entire 5-hour usage window, returning only planning text and no deliverable. The incident highlights issues with token consumption during internal reasoning and lack of safeguards.
Meta Pauses Internal AI Training Program After Employee Keystroke Data Leak
Meta pauses MCI program tracking employee keystrokes after SEV 2 leak exposed private conversations, performance data, and transcriptions company-wide.
PostmarketOS February 2026 Update: Generic Kernels and AI Policy
PostmarketOS now offers generic kernel packages (linux-postmarketos-mainline, -stable, -lts) and has updated its AI policy to explicitly forbid generative AI. The project also saw contributor changes and hardware CI improvements.