Cooragent - An open-source AI agent collaboration framework from Tsinghua LeapLab.
Cooragent is an open-source AI agent collaboration framework developed by the LeapLab team at Tsinghua University. Users can quickly create agents based on simple one-line descriptions, supporting collaboration between agents to complete complex tasks. Cooragent is based on...
What is Cooragent?
Cooragent is an open-source AI agent collaboration framework developed by the LeapLab team at Tsinghua University. Users can quickly create agents based on simple one-line descriptions, supporting collaboration between agents to complete complex tasks. Cooragent is designed to be Prompt-Free, eliminating the need for manual prompt design; the system automatically generates agent optimization features based on requirements. Cooragent supports local deployment, ensuring data security and privacy, and provides CLI tools and comprehensive API calling capabilities, facilitating developers to quickly build and manage agents.
Cooragent's main functions
- Quickly create an AgentAgents are generated based on a one-sentence description, and the system automatically analyzes the requirements to construct the agent.
- Agent CollaborationDescribe the task objective, and the system will automatically select a suitable Agent to collaborate in completing the task.
- Prompt-Free DesignNo need to manually design the Prompt; the system generates it automatically.
- Local deploymentSupports one-click local deployment, ensuring data security and privacy.
Cooragent compatibility
- Deeply compatible with Langchain toolchainCooragent supports direct use of Langchain components, such as Prompts, Chains, and Memory modules. Existing Langchain applications can be easily migrated to the Cooragent framework to utilize collaboration and scheduling capabilities.
- Supports MCP (Model Context Protocol)Based on the MCP protocol, agents can exchange information, status, and context in a standardized manner. The MCP protocol supports context management across agents or multiple rounds of interaction, reducing information loss.
- Comprehensive API supportBased on the API, developers can automate the creation, deployment, configuration updates, startup/stopping, and other functions of agents. The API provides functions such as task submission, result retrieval, status monitoring, and logging.
Cooragent's project address
- GitHub repository:https://github.com/LeapLabTHU/cooragent
Cooragent application scenarios
- Travel planningDescribe your travel needs, and the system will automatically call multiple agents (such as web crawlers, task planners, etc.) to complete the selection of attractions, itinerary arrangement, and report generation.
- Stock AnalysisCreate a stock analysis agent by entering the stock name and analysis requirements. The agent will automatically collect data, analyze trends, and provide buy and sell recommendations.
- Document processingInput document processing requirements (such as organizing meeting minutes), and the agent will automatically extract key information and generate a summary report.
- Educational guidanceTeachers input their course design requirements, and the Agent generates course outlines, teaching materials, and exercises to assist in teaching preparation.
- project managementBreak down project tasks and assign them to different agents (such as requirements analysis, development, and testing). Each agent collaborates to complete the task, improving management efficiency.