Qwen3.8-Max
Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.
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AutoClaw
AutoClaw by AutoGLM brings Agent execution power into an IM entry point, letting users activate an AI agent avatar with one click, call professional tools autonomously, and complete complex tasks automatically inside a Feishu conversation box. It looks like chat, but it is actually an Agent execution channel: the user starts a goal in a single dialog box, AutoClaw breaks it down, executes the steps, and sends the result and context back into Feishu. The task entrance is just one conversation, not a configuration page, and not another separate task system. Once the task is launched, the agent avatar continues pushing the work forward, while local tools perform real actions and the steps and status unfold along the same track. Feishu then receives not only the final conclusion, but also the context, progress, and the next handoff point. AutoClaw supports one-click OpenClaw setup, Windows and macOS downloads, IM integration, hot-swappable models, and more than 50 skills.
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Abacus Claw
Abacus Claw is a hosted AI agent platform that enables users to build and run always-on, cloud-based agents capable of automating complex, real-world workflows by connecting directly to everyday applications and data sources. It integrates with tools such as Gmail, Slack, Google Drive, and other services, allowing agents to analyze user activity, retrieve information, and generate personalized outputs like summaries, reports, and task breakdowns. Unlike traditional assistants that rely on one-off prompts, Claw is designed for continuous operation, where agents can be scheduled, triggered by events, or run autonomously to execute multi-step tasks across different systems. It provides a managed version of OpenClaw, an open source framework for creating persistent AI agents, enabling users to deploy powerful automation without handling infrastructure themselves.
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NanoClaw
NanoClaw is a lightweight, open-source personal AI assistant that runs securely inside Linux containers. Designed as a simplified alternative to larger frameworks, it connects Claude Code to WhatsApp and enables autonomous task execution with isolated group contexts. Each group operates in its own container with a dedicated filesystem and memory file, ensuring strong OS-level security rather than application-level permission checks. The system runs as a single Node.js process with a minimal codebase that users can understand and modify quickly. NanoClaw supports scheduled tasks, web access, and optional integrations through modular Claude skills. It introduces Agent Swarms, allowing multiple specialized agents to collaborate within a single chat. Built for individual users rather than enterprises, NanoClaw emphasizes customization through direct code changes instead of configuration files.
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