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AutoGPT – Autonomous AI Agent Platform

Landing page of AutoGPT open-source AI platform featuring automation theme and join waitlist buttons.

Pricing

Pricing: $0/month

Category

Automation & Agents

Description

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AutoGPT is an advanced open-source AI platform that empowers users to create, deploy, and manage autonomous AI agents capable of automating complex digital workflows and executing tasks independently across diverse environments. Leveraging state-of-the-art language models such as GPT-4, it offers a low-code, intuitive interface suitable for developers, businesses, and individuals wanting to streamline operations and boost productivity without deep technical expertise.

Here’s the accurate pricing breakdown for AutoGPT based on the most credible 2025 sources:

Open-Source Platform (All User Types)

  • Free to download, self-host, and modify
    AutoGPT itself has no seat fees or subscription charges for the software platform. It’s maintained as a fully open-source project, making it cost-effective for users comfortable with setup and self-management.

AI Model Usage (Based on LLM Provider)

  •  Costs depend on the language model selected:
    – GPT-4: $0.03 per 1,000 input tokens and $0.06 per 1,000 output tokens (OpenAI standard 2025 rates)
    – GPT-3.5: $0.002 per 1,000 tokens (for cost-sensitive users and lighter workloads)
    Heavy automation, creative workflows, or always-on agents can lead to monthly expenses ranging from $50–$500+ depending on usage scale and project complexity.

Key Features

Autonomous task execution: Breaks down complex goals into smaller steps and executes them with minimal supervision

Internet access: Agents can browse the web, analyze data, and retrieve real-time information.

Versatile applications: Supports content creation, business strategy, data processing, and more.

Integration capabilities: Easily connects with existing workflows and external services.

Low-code workflows: Build complex automation without extensive coding knowledge.

Plugin extensibility: Extend functionality with custom plugins.

Strengths

Truly autonomous: once configured, it can work on tasks without constant human prompts.

Open-source and extensible: you can self-host, examine code, modify or extend agents.

Integration-Friendly Architecture: Its modular design enables seamless connections with APIs, databases, browsers, and productivity tools to automate real-world workflows.

 

Weaknesses

Experimental / not fully production-ready: as noted, the “classic” version is no longer supported for security updates.

High Computational and API Costs – Running complex or long-running agents using GPT-4 can become expensive, especially without proper rate-limit management.

Security and Privacy Concerns – Since it can access external data sources and files, improper configuration may risk data exposure or unsafe command execution.

Knowledge Base

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