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Collaborate with AI agents to solve complex tasks, search knowledge, and use tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AgentChat" yet — see the docs or source repo.
I want to build an enterprise knowledge-base QA system. Have a product agent define requirements, a technical agent design the architecture, and a project agent create milestones, then combine everything into an execution plan.
A combined plan including requirements, architecture recommendations, milestone phases, and an execution roadmap.
Using my uploaded product docs and FAQs, answer: "How does a new user complete the initial integration?" Cite sources, and if information is missing, list what additional materials are needed.
A step-by-step answer with citations, plus any missing information and required follow-up documents.
Create an "Operations Analysis Agent" that first organizes this week's operational data, then summarizes abnormal metrics, and finally provides optimization suggestions for next week in a weekly report format.
A reusable custom agent workflow and a structured weekly operations report.
Use multi-agent chat and multiple models to handle complex workflows.
Connect multiple AI agents to one chatroom for collaborative conversations.
Let AI agents join meetings with voice, video, and screen sharing.
Connect LLMs with A2A agents for messaging, task management, and agent discovery.
Run AI agents through OpenAI-compatible APIs with memory and multi-step workflows.
Turn any GraphQL API into AI-usable tools for querying and mutations.