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Basic Information

AgentGPT is an open source web application for assembling, configuring, and deploying autonomous AI agents in the browser. The README describes a full-stack project that lets you name a custom AI, give it a goal, and let it plan tasks, execute them, and learn from results. The project provides a bundled CLI to automate setup including environment variables, API keys, a MySQL database, a FastAPI backend and a Next.js frontend. The repo targets users who want to run agents locally or develop on top of the stack and lists prerequisites such as Node.js, Git, Docker, and an OpenAI API key. The README includes demo links, documentation pointers, sponsorship and contributor information, and points to example setup scripts for Mac/Linux and Windows.

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App Details

Features
The repository bundles an automatic setup CLI that generates environment configuration and starts services via setup scripts. It uses a Next.js 13 + TypeScript frontend, a FastAPI backend, Prisma and SQLModel for ORM/schema work, and Planetscale as the database provider. Authentication is handled with Next-Auth. The stack uses TailwindCSS and HeadlessUI for styling and Zod and Pydantic for schema validation. For LLM tool integration the project lists LangChain. The README documents optional integrations with Serper and Replicate via API keys. It exposes local development on http://localhost:3000, provides cross-platform setup scripts, and links to docs, a live demo site, and contributor/sponsor information.
Use Cases
AgentGPT helps practitioners and teams prototype and run autonomous agent workflows without building the full stack from scratch. The packaged CLI and setup scripts reduce manual configuration by wiring environment variables, database, backend and frontend components together. Developers can leverage built-in tooling such as LangChain for LLM orchestration, Next-Auth for auth, Prisma/SQLModel for persistence, and Tailwind for UI, enabling faster iteration on agent behavior and goals. The project supports local development with Docker and common API keys, provides a demo site and documentation for onboarding, and is suitable for experimenting with agent automation, task planning, and execution in a reproducible repository structure.

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