AgentGPT

AgentGPT by Reworkd is a web platform for configuring and deploying autonomous AI agents that recursively break down goals and execute tasks across the web.

Last Update: 2026-08-22

Monthly visits: 2100000

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Starting price Free / $40/mo Pro (or BYO API)

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AgentGPT platform architecture and autonomous AI agent engine

AgentGPT (accessible at agentgpt.reworkd.ai, developed by Reworkd AI, founded by Asim Shrestha, Srijan Subedi, and Rishabh Sharma) is an open-source autonomous artificial intelligence agent platform and web automation workspace. Engineered to showcase recursive task execution, AgentGPT allows users to configure and deploy goal-driven AI agents in a browser.

The platform is anchored by an autonomous agent loop architecture that decomposes high-level user goals into prioritized sub-tasks. AgentGPT features Autonomous Task Deconstruction, Live Web Search & Execution, Bring-Your-Own-Key (BYOK) API integration, multi-agent collaboration, memory management, and exportable execution reports in PDF, CSV, and image formats.

Core agentic capabilities and Reworkd Agent tools

AgentGPT delivers features for goal-driven autonomous execution and web task management:

  • Recursive goal deconstruction: Input any objective (e.g. “Create a comprehensive marketing strategy for a SaaS startup”); the agent breaks it into sequential tasks.
  • Autonomous task execution loop: Generates, prioritizes, and executes tasks sequentially while evaluating results against the main goal.
  • Live web search & browsing: Searches the live internet to retrieve real-time data, competitor information, and research citations.
  • Bring-Your-Own-Key (BYOK) support: Connect custom OpenAI GPT-4o, Anthropic Claude, or local LLM API keys for unlimited agent runs.
  • Agent memory & context persistence: Retains context across multiple execution cycles to avoid repeating completed steps.
  • One-click report export: Download the complete execution transcript and structured deliverables in PDF, CSV, or markdown.

Comparative benchmark: AgentGPT vs. AutoGPT and BabyAGI

AgentGPT provides a web-based UI, no-code configuration, and exportable deliverables.

Dimension AgentGPT (Reworkd) AutoGPT (Significant Gravitas) BabyAGI (Yohei Nakajima)
User interface 100% Web browser canvas with visual task tree Command line CLI & local Docker setup Python script CLI
Web search integration Built-in cloud web scraping and search Local browser automation (Selenium/Playwright) No (Pure vector memory loop)
Deployment simplicity Instant 1-click execution in browser Requires technical developer setup & API keys Requires Python environment
Pricing model Free / $40.00/mo Pro (or BYO API) Free open source (BYO API costs) Free open source (BYO API costs)

Practical applications and operational limits

  • Automated market research: Deploy an agent to research competitor pricing, features, and public customer sentiment.
  • Syllabus & curriculum drafting: Create a multi-week course outline with recommended readings and quiz questions.
  • Content strategy roadmapping: Generate 30 days of themed social media posts and blog ideas for a product launch.
  • Autonomous coding planning: Deconstruct software requirements into technical architecture steps.

Operating limits: Free tier users receive basic daily agent runs with execution loop limits. Extended loops, GPT-4o access, and high-frequency web searches require an AgentGPT Pro subscription or custom API keys.

Subscription options and AgentGPT pricing

AgentGPT offers a free tier, BYO API support, and a hosted Pro plan:

Plan Option Monthly Cost Included Agent Runs, Loop Limits & Models
Free Plan $0 Limited daily agent runs, basic execution loops, standard model backend, web export
Bring Your Own Key (BYOK) Free + API usage Connect your own OpenAI or Anthropic API key for extended task loops and model selection
AgentGPT Pro $40.00/mo 30 agent runs/day, 25 loop iterations per agent, GPT-4o model access, unlimited web search, priority support

*Pricing and plan details verified as of August 2026.

Step-by-step workflow

  1. Open platform: Visit agentgpt.reworkd.ai in your web browser.
  2. Name agent & define goal: Enter an agent name (e.g. “MarketAnalyst”) and state your target objective clearly.
  3. Deploy agent: Click “Deploy Agent” to watch the agent deconstruct goals into tasks in real time.
  4. Export deliverables: Once execution completes, export the full findings report to PDF, CSV, or Markdown.

Editorial verdict

  • Best for: Researchers, startup founders, product managers, and developers who want to explore autonomous agent workflows and automated multi-step research without writing code.
  • Not recommended for: Simple 1-turn factual questions (standard chatbots are faster).
  • Learning curve: Minimal. Clean browser-based interface.
  • Value threshold: Good value. The free and BYOK tiers make autonomous agent exploration accessible.
  • Bottom line: AgentGPT is an accessible autonomous AI agent platform, providing browser-based task deconstruction and execution.

F.A.Q

AgentGPT by Reworkd AI is an open-source platform that enables users to build, configure, and deploy autonomous AI agents directly in a web browser.

Agents take a high-level goal, recursively break it into sub-tasks, execute web searches or code, and iterate until the objective is accomplished.

Yes, AgentGPT is open-source under GPL-3.0 and can be deployed locally using Next.js, FastAPI, and Docker.

Yes, AgentGPT supports Bring Your Own Key (BYOK) for OpenAI, Anthropic, or local LLMs to bypass cloud credit limits.

Pros and Cons

Pros

  • 100% web-based autonomous agent canvas requiring zero local command-line or Docker setup
  • Recursive task deconstruction breaking down complex goals into prioritized executable sub-tasks
  • Live web search integration retrieving real-time data and online sources automatically
  • Bring-Your-Own-Key (BYOK) architecture supporting custom OpenAI and Anthropic API keys
  • Export capabilities enabling 1-click downloads of complete agent research reports in PDF and CSV

Cons

  • Autonomous agents can occasionally enter repetitive loops on highly ambiguous open-ended goals
  • Free tier restricts execution loop depth, requiring a Pro plan ($40/mo) or custom API key for long tasks
  • Complex code execution is simulated via text planning rather than directly running sandbox environments

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