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Build self-hosted AI agents from plain language and improve them with feedback.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "customizable-gpt-chatbot" yet — see the docs or source repo.
Create a self-hosted customer support agent connected to our knowledge base and FAQ. It should support multi-turn Q&A, flag handoff-to-human cases, and outline the required tools, RAG setup, and deployment steps.
A customer support agent plan with capability definitions, required tools, knowledge base integration, and actionable deployment guidance.
Generate a local-first engineering assistant agent for our dev team. It should read code repositories, answer architecture questions, use MCP tools for checks, and continuously adapt its behavior based on my feedback.
An engineering-focused agent configuration covering code access, tool usage, feedback learning, and iteration strategy.
Help me design a collaborative workflow with three agents for research, writing, and review. Define their roles, handoff rules, shared knowledge sources, and how they should improve over time from usage history.
A multi-agent collaboration architecture with clear roles, coordination rules, knowledge integration, and continuous improvement methods.
Manage CustomGPT agents, conversations, and content through MCP using natural language.
Enable AI agents to read, write, and evolve memory across apps.
Use multi-agent chat and multiple models to handle complex workflows.
Manage deals, briefs, timelines, and posts on Llama Ventures via MCP agents.
Create, configure, and manage ElevenLabs conversational AI voice agents visually.
Search and query Vercel AI SDK docs with natural language for faster answers.