AutoGPT

The open-source autonomous AI agent that completes multi-step tasks independently using tools and memory.

Agents & Automation Open Source Open Source
Researched · Published · Reviewed
RECATOOLS Score
6 / 10
Capability
6
Value for money
7
Ease of use
5
ASEAN readiness
7
API quality
6
Founded
2023
HQ
Significant Gravitas (UK)
Users
100k+ GitHub stars
Launched
Apr 2023
Developer
Toran Bruce Richards

Overview

AutoGPT is the open-source project that kickstarted autonomous AI agents in 2023, now paired with a hosted low-code platform (Pro, Max, and an upcoming Team plan) for building and scheduling agent workflows. Self-hosting via Docker Compose stays free; you only cover your own model API usage.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Self-Hosted
Free
Open-source, run on your own infrastructure
  • MIT-licensed core
  • Full agent customization
  • Bring your own API keys
  • Unlimited local runs
Max
$272/mo
Billed annually; 8.5x usage capacity
  • Everything in Pro
  • 5x file storage
  • Early feature access
  • Priority support
Team
Custom
Coming soon — multi-user workspaces
  • Admin controls
  • Centralized billing
  • Shared integrations
  • Security & compliance

Use cases

Automating multi-step research tasks that require web browsing and synthesis Running recurring background processes like monitoring and reporting Prototyping autonomous agent workflows before building production systems
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ASEAN Perspective

AutoGPT in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

AutoGPT popularized autonomous AI agents back in 2023 and has since split into two paths: a free, self-hostable open-source core (Docker Compose, MIT-licensed outside the platform folder) and a hosted AutoGPT Platform with a drag-and-drop block builder, priced from roughly $42.50/month (Pro, billed annually) up to about $272/month (Max). It still suits tinkerers who don't mind supervising loops and token spend — G2 reviewers flag hallucinations and runaway costs as recurring complaints, and non-technical users find setup rough going. For production agent work, newer frameworks like LangGraph, AutoGen, or CrewAI, or a managed platform, remain the safer bet. The self-hosted route keeps ASEAN access and data control entirely in your own hands.

Independent AI-assisted assessment by RECATOOLS.

What people say

175,000 GitHub stars and counting — AutoGPT is still the reference case study for what happens when you let an LLM plan its own next move. Released in March 2023 by Toran Bruce Richards under the Significant Gravitas banner, it was the tool that took "autonomous agent" from research-paper concept to something anyone could clone and run in an afternoon.

The project has grown up since the viral demo days. The old CLI tool now sits alongside AutoGPT Platform, a hosted, block-based builder at agpt.co where you wire up agents visually, schedule them, and let them run server-side instead of babysitting a terminal window. Pricing starts near $42.50/month for Pro (billed annually) and climbs to about $272/month for Max's 8.5x usage allowance; a Team tier is still "coming soon." The original code stays open-source and free to self-host via Docker Compose — you just cover your own model API bill.

Reviews on G2 are positive on ease of use for simple runs but blunt about the rest: hallucinated steps, ballooning token spend on GPT-4-era pricing, and a setup process that trips up non-technical users. None of that is new — it was the same complaint in 2023 — but it means AutoGPT still reads more like a proof of concept than a finished product next to LangGraph, CrewAI, or AutoGen, which have taken over most production agent work. As a free, hackable way to learn how agent loops actually behave, it still earns its keep.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • AutoGPT reached 100,000 GitHub stars in just 3 days after release — faster than any other open-source AI repository at the time.
  • The original AutoGPT was a weekend side project; its creator Toran Bruce Richards had no prior AI experience and learned by reading papers while building.
  • AutoGPT's release in April 2023 triggered what observers called 'agent fever' — within 30 days, dozens of competing autonomous agent frameworks appeared on GitHub.

Frequently asked questions

Is AutoGPT free?
Yes. The open-source version is free to run locally. Cloud hosting options may have costs.
What can AutoGPT do automatically?
Web research, writing files, executing code, sending emails (with configuration), and chaining these actions to complete multi-step tasks.
Is AutoGPT still actively developed?
Yes. The project has evolved into the AutoGPT Platform with a graphical interface for building and running agents.
How does AutoGPT compare to LangChain?
LangChain is a developer framework for building LLM apps. AutoGPT is more of an end-user agent that can run tasks autonomously.
What AI model does AutoGPT use?
By default GPT-4, but it supports other models via configuration.

About this listing

Researched on
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Last reviewed

This entry was compiled from publicly available data including AutoGPT's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with AutoGPT unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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