Wegent is an open-source AI-native operating system for defining, organizing, and running intelligent agent teams. It benefits operations departments by automating workflows and integrating with tools like Claude. Wegent connects to Python and FastAPI, enabling seamless agent management and execution.
git clone https://github.com/wecode-ai/Wegent.gitWegent is an open-source AI-native operating system for defining, organizing, and running intelligent agent teams. It benefits operations departments by automating workflows and integrating with tools like Claude. Wegent connects to Python and FastAPI, enabling seamless agent management and execution.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/wecode-ai/WegentCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a workflow for managing an intelligent agent team using Wegent. Define the team structure with [TEAM_ROLE_1], [TEAM_ROLE_2], and [TEAM_ROLE_3]. Outline the tasks each agent should focus on for the project [PROJECT_NAME], and suggest a timeline for completion based on [DEADLINE].
To effectively manage the intelligent agent team for the project 'Market Analysis Automation', the team structure will consist of a Data Analyst, a Research Specialist, and a Reporting Agent. The Data Analyst will focus on gathering and processing relevant market data by [DATE_1], while the Research Specialist will conduct competitive analysis and compile findings by [DATE_2]. The Reporting Agent will then synthesize this information into a comprehensive report by [DEADLINE]. This structured approach ensures that each agent has clear responsibilities and timelines, leading to a cohesive output that meets project goals.
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