AgentGPT
FreemiumConfigure and deploy autonomous AI agents in your browser.
AgentGPT is an open-source, browser-based platform for configuring and deploying autonomous AI agents. Originally launched by Reworkd as a hosted alternative to AutoGPT and BabyAGI, the project is now archived on GitHub (36k+ stars, GPL-3.0) while the hosted reworkd.ai version remains online.
What is it
AgentGPT lets users spin up autonomous AI agents directly in the browser by giving the agent a name, a goal, and an optional set of tools. The project is built on a Next.js 13 + TypeScript + FastAPI + Prisma + Langchain stack bootstrapped from create-t3-app, and is fully self-hostable under GPL-3.0.
What it can do
Once configured, each agent runs an iterative "think, execute, learn" loop — proposing tasks toward the goal, executing them (optionally with web search via Serper or media generation via Replicate), then re-planning based on results. The homepage previews three sample agents — ResearchGPT (Nike's environmental report), TravelGPT (a Hawaii itinerary), and StudyGPT (a 1980s history study plan) — illustrating the research, planning, and brainstorming use cases the platform targets.
Who is it for
AgentGPT serves three audiences: beginners and casual AI enthusiasts who want to see autonomous agents work without installing anything, business professionals exploring lightweight planning and research automation, and developers who want to self-host an AutoGPT-style stack on their own infrastructure with their own OpenAI/Serper/Replicate API keys.
Key Features
Browser-Based Autonomous Agents – Name, Goal, Tools in One Form
Configure an agent directly in the browser by entering a name and a goal, then optionally enabling tools. Reworkd's hosted instance runs the agent without any local install, letting users watch it generate, execute, and revise tasks in real time inside a single tab.
Iterative Task Loop – Think, Execute, Learn
The core agent runtime follows the README's stated loop: "thinking of tasks to do, executing them, and learning from the results." Each loop produces a new task list and result trail visible in the UI, making the AutoGPT-style execution model observable rather than opaque.
Multi-Model Support – GPT-3.5-Turbo Free, GPT-4 on Pro
The Free tier runs agents on GPT-3.5-Turbo; the Pro plan unlocks GPT-3.5-Turbo 16k and GPT-4 access. The chosen model drives both planning quality and execution depth for the iterative loop.
Web Search via Serper Integration – Online Lookup Inside the Loop
Agents can call out to the live web through a Serper API integration, with the Pro plan removing the search cap. This lets agents pull current information into the loop rather than relying purely on the underlying model's training data.
Use Cases
Quick competitive or topic research via ResearchGPT-style agents
Give the agent a research goal (e.g., "summarize a company's sustainability report") and let the iterative loop assemble findings with optional web search.
Travel and itinerary planning
Use a TravelGPT-style agent to draft multi-day trip plans by goal, surfacing destination suggestions, scheduling, and references in a single task trail.
Personalized learning plan generation
Mirror the StudyGPT example to produce structured curricula or reading plans for a specified topic and timeframe.
Lightweight brainstorming sessions
Use an agent to expand a creative or strategy prompt into structured task lists and option sets without manual outlining.
Pricing plans
Frequently Asked Questions
Discussion
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