AutoGPT
AutoGPT is a cloud platform for briefing a team of named AI Experts, coordinated by Otto, on content, sales, and operations work.
AutoGPT has moved past 'autonomous agent demo' into a productized AI-team model: brief Otto, get named Experts doing content, sales, and ops work, with per-Expert spend caps. The 7-day free trial (card required, no charge today) makes Pro — $50/mo billed monthly, ~$42.50/mo billed annually with the 15% yearly discount — cheap to test. Max at $320/mo billed monthly buys 8.5x Pro usage and 5x file storage; Team is still 'Coming soon,' so multi-user workspaces and admin roles aren't generally available. If you want code-level control over the agent loop, look at LangChain; if you need deterministic, auditable business logic, look at no-code automation tools. Try AutoGPT on one recurring job
Verified 19h ago · liveness 86/100 · cite: rightaichoice.com/tools/autogpt
- Founders and operators automating recurring research, briefings, and monitoring
- Sales teams preparing prospect shortlists and meeting briefs
- Marketing teams drafting and iterating on content and launch campaigns
- Support teams triaging tickets and drafting responses
- Teams needing deterministic, auditable business logic
- Projects with strict data-residency requirements
- Org buyers who need multi-user workspaces today — the Team tier is still listed as coming soon
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Skip AutoGPT if you need deterministic, auditable business logic or org-wide multi-user controls today — Team-tier workspaces, admin roles, and approvals are still listed as coming soon, and scheduled runs draw on a credit wallet whose absolute allowance per plan isn't published.
Scheduled and recurring workflow runs draw on a credit wallet on top of your plan, and the absolute credit allowance per plan isn't published — Max is defined only as '8.5x Pro usage.'
Pro at $50/mo billed monthly (~$42.50/mo billed annually with the 15% yearly discount) is priced for a solo founder or one operator automating a recurring brief — cheaper than hiring a freelancer for the same job. Max at $320/mo billed monthly (~$272/mo billed annually) targets heavy users who need 8.5x Pro usage and 5x file storage. Team is contact-sales only and still coming soon, so org buyers currently have no comparable tier here.
In short
AutoGPT — AutoGPT is a cloud platform for briefing a team of named AI Experts, coordinated by Otto, on content, sales, and operations work. Best for Founders and operators automating recurring research, briefings, and monitoring, Sales teams preparing prospect shortlists and meeting briefs, Marketing teams drafting and iterating on content and launch campaigns. Free to start; paid plans from $50/mo.
What's new in AutoGPT
Checked todayAcross the latest 1 update: 1 launch.
What people actually say about AutoGPT — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
21 mentions across 6 sources (Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy), 50 more we could not attribute · researched Oct 8, 2026.
Weighted by the 71 posts each of 6 sources contributed.
- +187,483 GitHub stars make it the most-recognized open-source agent project ever released
- +Named AI Experts (Maria, Max, Frankie) give non-technical users a real mental model for delegation
- +Otto's natural-language briefing removes the need to learn agent configuration or API keys
- +Dry-run self-repair loop and inline node validation reduce breakage in visual workflows
- +Per-Expert spending caps and an activity dashboard address the cost-control fear many agents ignore
- −Independent security scans rate it 65/100 risk with no agent identity or signing
- −App Store reviewers repeatedly report the mobile app freezing or refusing to respond
- −Community threads now treat it as the legacy agent framework, behind OpenClaw and CrewAI
- −Lemmy and HN critics flag it as a 'passive LLM' primitive that hasn't evolved conceptually
- −Almost no third-party validation exists for the new cloud AI Experts feature set
- • Credit wallet spend scales with autonomous runs — recurring routines can quietly burn budget
- • Browser automation and multimodal runs likely consume more credits per run than text-only
- • Real-world cost-per-Expert isn't visible until you've run the workflow, making budgeting harder than a flat SaaS seat
Viability Score
How well maintained and how widely used is AutoGPT? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI Experts: named specialists including Maria (SEO Content Manager), Max (Account Executive), and Frankie (Executive Assistant)
- Otto chat: natural-language Head of AI that coordinates Experts, answers questions, and creates or runs workflows
- Workflow generation from prompt: describe it in English; Otto asks clarifying questions and saves the workflow
- Dry-run self-repair loop that simulates newly generated workflows, catches errors, and fixes them automatically
- Visual drag-and-drop workflow builder with branching, loops, and nested workflows as blocks
- Inline field validation that surfaces graph errors on the offending node before you run
- Rich and expandable node outputs rendering JSON, code, markdown, LaTeX, images, and files
- Run from builder: execute the workflow you're editing without leaving the page
- Per-Expert spending caps with activity, results, and spending visibility
- Scheduled and recurring routines drawing on a credit wallet
- Access to virtually any leading AI model with no API keys required
- Multimodal inputs: drop images and PDFs into chat for a vision model to read
- Voice in and out with natural-sounding TTS voices
- Browser automation via Stagehand and a Chromium-backed agent browser
- MCP (Model Context Protocol) tool support from any compatible server
About AutoGPT
AutoGPT started as the open-source autonomous-agent project (187k+ GitHub stars) and now ships as a cloud platform that organizes AI around a named team of 'AI Experts' rather than a single chat box. Maria handles SEO content, Max handles sales outreach, and Frankie handles executive-assistant work; Otto is the coordinating Head of AI you brief in plain English. Otto pulls in the right Expert, hands over the job, and keeps you updated. Three surfaces carry the work: Otto chat, a visual drag-and-drop workflow builder with branching, loops, and nested-workflow blocks, and an activity-and-spend dashboard. You can also describe a workflow in English — Otto asks clarifying questions, builds it, then dry-runs it and self-repairs errors before you run it. Under the hood: access to virtually any leading AI model with no API keys, multimodal inputs (images and PDFs into chat), voice in and out with TTS, browser automation via Stagehand, MCP tool support, web search with Perplexity Sonar and WebFetch, and a read-only SQL analytics tool. Scheduled and recurring routines draw on a credit wallet with a per-Expert spending cap. It fits founders, operators, marketers, and support teams automating recurring research, drafting, and monitoring — not rigid, compliance-bound pipelines. As of mid-2026 AutoGPT also runs as a bot in Discord and Telegram (Slack is coming), so you can hand off work from inside team channels.
Behind the Verdict
AutoGPT's most interesting decision is framing. Instead of selling you an 'autonomous agent' and letting you discover it drifts, it sells you a small org chart: Otto as Head of AI, Maria on SEO content, Max on sales outreach, Frankie as executive assistant, plus 32 Experts you can make your own. That framing sets honest expectations — you review the work before anything ships, and each Expert has its own spending cap on the credit wallet. The build story is genuinely good. You describe a workflow in plain English, Otto asks clarifying questions, generates the graph, then dry-runs it with a self-repair loop that catches errors before the first live run. If you'd rather wire it by hand, the visual canvas supports branching, loops, nested workflows as blocks, inline field validation on the offending node, expandable block outputs, and a run-from-builder button so you don't leave the page. The tool surface is broad and specific: browser automation via Stagehand and a Chromium-backed agent browser, MCP tool support from any compatible server, web search through Perplexity Sonar and WebFetch, a read-only SQL block inside chat, GitHub CLI with commits signed by your GitHub identity, a persistent cloud sandbox, and multimodal chat that reads images and PDFs. Voice in and out is there with natural-sounding TTS. Costs are where you need to stay alert. Pro covers Otto and Expert chat, but scheduled workflow runs draw on the credit wallet, and the absolute credit allowance per plan isn't published — Max is defined only as '8.5x Pro usage.' Billing monthly is the flexible path; yearly billing saves 15%, dropping Pro to roughly $42.50/mo and Max to roughly $272/mo. Watch for model-dependent behavior: run quality varies with the underlying model, so a workflow that behaves one week may need re-prompting the next. Integration coverage is real but narrow at the messaging layer — Discord and Telegram bots shipped (Slack coming), and the Expanded integration library is a Max perk, which means Pro users hit a smaller library. Team buyers should wait: multi-user workspaces, admin controls and roles, centralized billing, collaboration and approvals, and security and compliance options are all still 'Coming soon.' Where it fits: a solo founder or small marketing/sales/ops team with a recurring brief that keeps coming back — the Monday morning summary, the prospect shortlist, the launch article opening. Where it doesn't: anything requiring deterministic, auditable logic, data-residency guarantees, or org-wide permissioning today.
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Real-world workflow fit
Concrete scenarios for the personas AutoGPT actually fits — and what changes day-one when you adopt it.
Brief Otto on Monday morning to pull the team together: Maria drafts the opening of the launch article, Max builds a shortlist of three agencies with a relevant opening line, and Frankie prepares the 20-minute launch review agenda with named owners.
Outcome: You review three pieces of prepared work before Monday's check-in instead of assembling them yourself, with each Expert's spend visible on the activity dashboard.
Set a recurring routine so Maria drafts a launch-article opening every week; review the draft in Otto chat, refine the brief in plain English, and reactivate the routine for the jobs that keep coming back.
Outcome: The recurring content job runs off the credit wallet on a schedule, and you approve each draft before anything ships.
Describe a multi-step research workflow in English; Otto asks clarifying questions and builds the graph, the dry-run self-repair loop catches errors, then you drop into the canvas to add branching and call MCP tools or GitHub CLI from inside a workflow.
Outcome: A working workflow runs from the builder without leaving the page, and you can revisit any task history entry to see the steps that produced it.
Use Cases
- Automate recurring market research and trend analysis across several data sources.
- Build a personalized sales outreach shortlist — the site's example returns three agencies with a relevant opening line.
- Draft recurring content; Maria produces the launch-article opening for your review.
- Prepare meeting briefs with a proposed agenda and named owners, as Frankie does in the site example.
- Monitor news or forums for brand mentions and sentiment.
- Build and deploy custom internal AI assistants without writing code.
- Create automated reports that pull from multiple sources on a schedule.
- Prototype and test code snippets using the cloud sandbox and GitHub CLI.
Models Under the Hood
as of 2026-10-09
Limitations
- The Team tier is still labelled 'Coming soon' on the pricing page, so multi-user workspaces, admin controls and roles, centralized billing, collaboration and approvals, and security/compliance options aren't generally available.
- Pro is the baseline plan and Max is described as '8.5x Pro usage,' but the absolute credit allowance per plan isn't published — scheduled workflow runs draw on a credit wallet, and behavior depends on the underlying AI models, so run quality can vary.
- AutoGPT runs as a bot in Discord and Telegram today, with Slack coming soon.
- This is a tool for autonomous, multi-step work, not deterministic business logic.
as of 2026-10-09
Verification history
We have re-verified AutoGPT 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published AutoGPT tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pro
$50/mo billed monthly
Ideal for
An individual founder, marketer, or operator ready to put one AI team to work on a recurring brief — content, research, or outreach.
What this tier adds
Starting paid tier at $50/mo billed monthly: access to virtually any leading AI model, AI Experts, Otto chat, the visual workflow builder, scheduled routines, and spending controls, after a 7-day free trial.
Max
$320/mo billed monthly
Ideal for
A heavy individual user running many workflows and storing large files who has outgrown Pro's usage allowance.
What this tier adds
Adds 8.5x Pro usage, 5x file storage, early access to features, an expanded integration library, priority support, and roadmap input — at $320/mo billed monthly.
Team
Contact sales
Ideal for
Organizations that need shared workspaces, admin roles, centralized billing, and security/compliance options.
What this tier adds
Adds multi-user workspaces, admin controls and roles, centralized billing and seat management, collaboration and approvals, and security and compliance options — contact sales, currently listed as coming soon.
Where the pricing makes sense
The company stage and team size where AutoGPT's pricing actually pencils out — and where peers do it cheaper.
Pro at $50/mo billed monthly (~$42.50/mo billed annually with the 15% yearly discount) is priced for a solo founder or one operator automating a recurring brief — cheaper than hiring a freelancer for the same job. Max at $320/mo billed monthly (~$272/mo billed annually) targets heavy users who need 8.5x Pro usage and 5x file storage. Team is contact-sales only and still coming soon, so org buyers currently have no comparable tier here.
Setup time & first value
How long it actually takes to get something useful out of AutoGPT — broken out by persona, not the marketing-page minute.
Solo founder or operator: minutes to first value — sign in, start the 7-day trial, and brief Otto in chat with no workflow canvas required. Marketing or sales lead: under an hour to review Maria's or Max's first output and refine the brief. Developer wanting canvas control: an afternoon to generate a workflow from prompt, review the dry-run self-repair results, and add branching or MCP tool calls
Switching to or from AutoGPT
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual ChatGPT or Claude prompting: sign in, brief Otto in plain English, and let it route the job to a named Expert instead of re-prompting from scratch.
- →From a self-hosted AutoGPT Classic install: move to the cloud platform for AI Experts, per-Expert spend caps, and scheduled routines, or keep self-hosting via the open-source repo.
- →From a no-code automation tool like Zapier: describe the recurring workflow in English and let Otto generate the graph, then add branching or nested-workflow blocks on the canvas.
- →From a single-purpose SEO content tool: brief Maria with your launch context and review the drafted article opening before it goes out.
- ↗To LangChain: if you want code-level control over the agent loop rather than a canvas and chat UI.
- ↗To a no-code automation tool: if you need rigid, deterministic business logic with auditable branches.
- ↗To a simpler AI chat assistant: if you want a chatbot rather than an agent that plans and acts across steps.
Integrations
Resources & Guides
- Documentationagpt.co
Developer Platform
Welcome to your team’s developer platform
- Resourceagpt.co
How To Integrate Ai Assistants Into Your Business Workflows A Complete Guide For 2025
Helpful link from agpt.co
- Resourceagpt.co
How To Use Ai To Automate Work 10 Easy Wins For Teams
Helpful link from agpt.co
- Resourceagpt.co
Agentic Ai Explained How Ai Agents Are Transforming Automation
Helpful link from agpt.co
Tutorials & Learning
YouTube returned 6 videos for “AutoGPT”, and we withheld 6: 6 could not be judged, because “AutoGPT” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about AutoGPT.
Official links
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