1. Should you try AgentGPT? Overview

What it is	AgentGPT is an open-source platform to create and deploy autonomous AI agents directly in the browser — name an agent, give it a goal, and it decomposes and executes tasks through a think→act→observe loop with live visualization.
Country / HQ	San Francisco, USA (open source)
Best for	learners, reference-code study
Check before buying	Watch out: Business or production teams — no patches, no observability, no support.
Pricing signal	Free tier + paid from $40/mo

2. Features What it does

Feature	What it does
Autonomous	agent loop — goal decomposition and iterative subtask execution until the goal resolves or the loop cap trips.
Ready	made templates — ResearchGPT, TravelGPT, and StudyGPT prefill a first goal.
Real	time execution visualization — watch each reasoning step and search query.
Self	hosting via Docker — full archived codebase (~36K GitHub stars), unlimited runs, custom models.
Model	execution — GPT-3.5-Turbo (free) or GPT-4 (Pro).

3. Pricing Pricing (2026-10, USD)

Plan	Price / mo	Key limits & who it fits
Free	$0	5 agent runs/day, GPT-3.5-Turbo, limited web search, no API key required.
Pro (listed, largely unsupported)	$40/mo	30 runs/day, GPT-4 access, 25 loops/agent, unlimited web search.
Self-Hosted	Free (infra only)	Unlimited runs, GPT-4/Claude/open-weight models, no loop caps.
Enterprise (listed, dormant)	Custom	SAML SSO, dedicated manager, custom features.

Note: the paid Pro/Enterprise tiers are listed but unsupported after the January 2026 archival — the reliable path is the free hosted demo or self-hosting.

4. Integration Access & integrations

Access type	Details
Web app (agentgpt.reworkd.ai) + self-host Docker	Web search only (no file upload, API, or external tool access) — Any modern browser

5. Reviews & Sources External reviews

Source	Rating	What it says
Pros	—	Best visual demonstration of agent reasoning among browser agent tools.
Pros	—	Zero-setup browser demo — accessible to non-developers.
Pros	—	Open-source and forkable for learning.
Pros	—	Free tier with no credit card.
Cons	—	Development ended 2026-01-28 — no patches or security fixes.
Cons	—	Frozen at the 2023 OpenAI model lineup (no GPT-4o/Claude/Gemini).
Cons	—	No observability or evaluation tooling; agents drift off-goal on complex tasks.
Cons	—	Single-agent only — no multi-agent collaboration.

6. Best for / Not for Fit

✔ Suitable	✘ Not suitable
• Learners demoing an autonomous agent loop with zero setup. • Developers studying or forking a well-known reference codebase.	• Business or production teams — no patches, no observability, no support. • Complex multi-step production work that needs reliability and correction paths.

7. Competitors How it compares

Competitor	How it differs	Best for
AgentGPT	Setup: Zero (browser); Maintenance: Archived (2026-01); Multi-agent: No	Teaching artifact
AutoGPT	Setup: Local, some setup; Maintenance: Maintained; Multi-agent: Limited	Local experiments
CrewAI	Setup: Python framework; Maintenance: Active; Multi-agent: Yes	Orchestrated agents
ChatGPT	Setup: Zero (app); Maintenance: Active; Multi-agent: Via custom GPTs	General assistant

8. Summary Verdict

Takeaway	AgentGPT remains a great free teaching artifact and a forkable reference for how autonomous agents work, but it is not a dependency to build production work on after its 2026 archival. For real agent workflows, use CrewAI or AutoGPT (self-hosted) or a managed platform such as Lindy or Relevance AI.
Who should pick it	Learners demoing an autonomous agent loop with zero setup.
Who should skip it	Business or production teams — no patches, no observability, no support.