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AgentGPT

AgentGPT AI Agent
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Overview

AgentGPT is a goal-driven agent demonstration with an archived open-source implementation.

AgentGPT breaks a user-supplied goal into tasks and attempts to complete them through an experimental agent loop. Users choose the objective and review the work.

The open-source repository was archived in January 2026. Running it locally requires application services, model credentials and developer maintenance. The hosted demonstration and archived code are useful for learning and experimentation; confirm current access and costs before relying on a hosted plan.

Product overview

Capabilities, pricing and fit

AgentGPT is a goal-driven agent demonstration with an archived open-source implementation.

Information as of July 30, 2026

What it can do

  • Workflow and human role

    AgentGPT breaks a user-supplied goal into tasks and attempts to complete them through an experimental agent loop. Users choose the objective and review the work.[1], [2]

Where it fits best

  • Use AgentGPT for learning or a developer-managed experiment, not as evidence of a maintained enterprise service.[1], [2]

Pricing and availability

GPL-licensed code can be studied and run, but hosting, model usage and maintenance cost money. Current hosted paid terms are unclear.[1], [2]

Access: The repository was archived in January 2026. Local setup needs Docker, application services and model credentials; a visible hosted interface does not establish maintained production service.[1], [2]

Sources (2)
  1. AgentGPTOfficial site · checked 2026-07-30
  2. github.com — product informationOfficial site · checked 2026-10-23

Autonomy level

83/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: AgentGPT’s experimental task loop breaks a supplied goal into steps and attempts tool-assisted execution. People configure credentials, supervise attempts and evaluate results. This score describes the historical task loop; the archived repository requires developer maintenance and is not a maintained production service.

Comparisons


Custom Comparisons

Some of the use cases of AgentGPT:

  • Studying an experimental goal-driven agent loop.
  • Developer-managed experiments with archived open-source code.

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Popularity level: 89%

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Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsCredits, keys, or subscriptionsMemory survives restarts

Plans start at $199/month. Cancel anytime.

Hosted agent

OpenClaw or Hermes

saved state
Browser
WhatsApp
Telegram
Slack
“I checked the inbox, handled the routine messages, and sent you the one question that needs a decision.”
Create an AI worker that keeps running after this tab closes.
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