Overview
AgentGPT enables assembling, configuring, and deploying autonomous AI agents in the browser. Users can name custom agents and assign goals; the agents will plan tasks, execute actions, and learn from results to attempt goal completion. The project includes a full frontend (Next.js) and backend (FastAPI) stack, database support, and deployment scripts for quick local or cloud setup.
Core features
- Browser-first UX for interactive agent creation and management.
- Complete stack: Next.js frontend, FastAPI backend, Prisma/SQLModel for DB, TailwindCSS for styling.
- One-click setup: CLI scripts (setup.sh/setup.bat) automate env vars, DB, and services.
- Integrations: LangChain, Replicate, OpenAI and other common LLM tools and APIs.
Use cases
- Rapid prototyping of autonomous agent workflows and strategies.
- Education and research into agent architectures, planning, and execution loops.
- Self-hosted deployments for teams using Docker and managed databases like Planetscale.
Technical highlights
- Multi-service architecture separating frontend, backend, and persistence layers for extensibility.
- Configuration-driven setup via environment variables and automation scripts.
- Tooling integrations (LangChain, Zod, Pydantic) to streamline model calls, schema validation and data processing.
- Active community, comprehensive docs ( https://reworkd.ai/docs ) and a live demo site.