Key Features

No-code AI agent building
Multi-agent workflow orchestration
One-click deployment and auto-scaling
Smart training with data upload
Brand consistency configuration
24/7 automation scheduling
Integration with multiple LLMs (ChatGPT, Claude, Gemini)
Model Context Protocol (MCP) for tool integration
Human-in-the-loop collaboration
Self-reflection and auto-planning capabilities

The core functionality of RoboWork revolves around a three-step process: building specialized AI agents, connecting these agents into intricate workflows, and deploying them instantly. Creating AI agents involves smart training and custom logic, allowing you to tailor them to specific business tasks. These agents can then be orchestrated to handle complex, multi-step processes automatically. Deployment is streamlined with one-click functionality and auto-scaling capabilities, ensuring your AI workforce can handle any workload efficiently. This rapid development and deployment cycle allows businesses to see tangible results in under 10 minutes.


RoboWork distinguishes itself through its purpose-built features for business processes, focusing on intelligent automation that adapts to your unique context. The platform’s AI agents are designed to mimic human work patterns, exhibiting capabilities like self-reflection, auto-planning, and collaboration. Seamless human collaboration is also prioritized, allowing for feedback, decision-making, and creative input alongside AI execution. Furthermore, RoboWork supports integration with leading Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and its own RoboWorkAI, and utilizes the Model Context Protocol (MCP) for seamless connection to existing tool stacks.

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