AutoGPT vs Dify: 2026 comparison

AutoGPT and Dify in brief

AutoGPT and Dify provide visual environments for building agents and automated workflows. AutoGPT emphasizes specialized agents and recurring routines. Dify describes a workspace for AI applications, agents and workflows that incorporate document collections. Both use Python and support self-hosting. The clearest differences concern declared interfaces, model coverage and community indicators. Neither record supplies pricing, so access costs cannot be compared directly. Your decision will depend more on the application you intend to build than on those missing financial details.

AutoGPT : AutoGPT creates agents and visual workflows for recurring tasks, with self-hosting. [Source](https://github.com/Significant-Gravitas/AutoGPT).

Dify : Dify provides a visual workspace for building AI applications, agents and workflows connected to document retrieval pipelines.

Both meet the same need, which makes the comparison useful. We compare them on 11 verifiable criteria, using the same data as their profiles, collected from official sites and GitHub.

Comparison table

Criterion by criterion

For each criterion: why it matters, each one's value and who has the edge. A criterion without data on both sides is not decided.

Popularity (GitHub stars)

Stars measure developer interest; a widely followed project has more tutorials, integrations and answers. AutoGPT : 187.7K. Dify : 159.4K. Edge: AutoGPT.

Activity over a year

Commits over 52 weeks show whether the project moves fast, fixes bugs and keeps up with new models. AutoGPT : 4,401 commits. Dify : 9,551 commits. Edge: Dify.

Releases (6 months)

Regular releases signal a project that ships; very frequent releases can also mean frequent updates on your side. AutoGPT : 24. Dify : 9. Edge: AutoGPT.

Last commit

A repository with no commit for months may fall behind new APIs and security fixes. AutoGPT : October 24, 2026. Dify : October 24, 2026. A tie on this point.

License

A clear open-source license (MIT, Apache…) allows commercial use and modification; without one, usage rights are unclear. AutoGPT : no declared license. Dify : no declared license. A tie on this point.

Self-hosting

Running the agent on your machine or server keeps your files and keys with you. AutoGPT : yes. Dify : yes. A tie on this point.

Supported models

An agent that accepts several model families lets you pick the best value, or a local model. AutoGPT : 4. Dify : 9. Edge: Dify.

Interfaces

Terminal, code editor, web app or chat: more interfaces mean more ways to fit it into your work. AutoGPT : 1. Dify : 2. Edge: Dify.

Risk level

Our risk level considers the access granted (terminal, files, network) and default human approval. AutoGPT : moderate. Dify : moderate. A tie on this point.

Community (forks)

Forks count developers who copied the project to adapt it: a sign of a living ecosystem. AutoGPT : 45.9K. Dify : 25.2K. Edge: AutoGPT.

Track record

An older project has had time to fix early flaws; a recent one often brings the latest ideas. AutoGPT : March 2023. Dify : April 2023. Edge: AutoGPT.

In charts

Our analysis

AutoGPT, published by Significant Gravitas, focuses its description on specialized agents and visual workflows for executing tasks and automated routines. LangGenius describes Dify as a visual environment for building AI applications, agents and workflows that integrate document collections. AutoGPT may therefore fit users who begin with a task they want an agent to perform. Dify may be more directly aligned with an application organized around documents. These are distinctions in the supplied descriptions, rather than proof that an unlisted function is unavailable. Both projects use Python, but a shared programming language does not establish equivalent development effort or ease of use.

AutoGPT was created on March 16, 2023, and Dify on April 12, 2023. AutoGPT has 187,725 GitHub stars and 45,894 forks, compared with Dify's 159,425 stars and 25,193 forks. Dify records more commits over twelve months, at 9,551 versus 4,401. AutoGPT has more releases over six months, at 24 versus 9. Both show a latest commit dated October 24, 2026. Their scores of 84 and 83 out of 100 concern popularity, activity and framework, rather than quality. These indicators point to different community patterns. Neither project has supplied pricing, so they do not establish the budget required to use either option.

Both records describe open source projects that can be self-hosted, but neither specifies a license. Detailed rights to reuse or redistribute the code therefore remain unclear from the supplied information. Both carry a medium risk classification because license information is missing; that classification does not identify a technical security flaw. Self-hosting offers deployment choice, but it does not establish where every piece of information will be processed, particularly when external models are used. Dify's document-oriented description makes data handling relevant to its stated purpose, without supplying privacy terms. Neither record explains retention policies or human approval mechanisms for actions performed by agents.

AutoGPT lists a web interface and support for Claude, GPT, Llama and local models. Dify lists web and API interfaces, together with Claude, GPT, Gemini, DeepSeek, Qwen, Mistral, Llama, local models and multimodel support. Dify therefore has a broader declared scope for model selection and programmatic access. The records do not identify compatible versions or explain the depth of individual integrations. AutoGPT may still fit a workflow centered on its web environment and listed models. For either project, daily suitability also depends on unresolved operational details, including pricing and how human review would be arranged before an agent carries out consequential actions.

Depending on your situation

The right choice depends on use. For a few common situations, here are the criteria that matter and who wins (AutoGPT value / Dify value).

Trying it out quickly

Here, Dify has the edge: it wins 2 of the 3 criteria that matter in this situation, namely interfaces (1 / 2), supported models (4 / 9), and popularity (github stars) (187.7K / 159.4K).

Production use

Neither stands out on the criteria for this situation (activity over a year (4,401 commits / 9,551 commits), last commit (October 24, 2026 / October 24, 2026), license (no declared license / no declared license), and releases (6 months) (24 / 9)): decide with a trial.

Security and control

Neither stands out on the criteria for this situation (risk level (moderate / moderate) and self-hosting (yes / yes)): decide with a trial.

Which one to choose?

Choose AutoGPT if…

• you value popularity (github stars) (187.7K)
• you value releases (6 months) (24)
• you value community (forks) (45.9K)
• you value track record (March 2023)

AutoGPT is a logical candidate if your main aim is to create specialized agents for tasks and routines through a web interface, using models such as Claude, GPT or Llama. Its larger star and fork counts indicate more recorded community attention. Those figures should support your assessment of the project, rather than substitute for checking whether its workflows meet your needs.

Choose Dify if…

• you value activity over a year (9,551 commits)
• you value supported models (9)
• you value interfaces (2)

Dify fits more directly when your project combines AI applications, agents and document collections, or when API access is a requirement. Its declared model list is also broader. That may appeal to teams wanting several model options, provided they confirm the specific integrations they need and clarify the usage terms that are missing from the supplied record.

Strengths and limits of each

AutoGPT

• + Widely followed: 187.7K stars
• + Very active development
• + Frequent releases (29 in a year)
• − No licence declared

Dify

• + Widely followed: 159.4K stars
• + Very active development
• + Frequent releases (23 in a year)
• − No licence declared

The best test is still yours: take three real tasks from your day and give them to both for a week. Our “Which AI agent?” quiz can also guide you.

What about the others?

If neither suits you, look at Langflow, n8n, Sim, Kestra, Trigger.dev, and Activepieces.

Related comparisons:

• Dify vs n8n
• n8n vs AutoGPT
• Dify vs OpenClaw
• Dify vs BrainSoup

Conclusion

AutoGPT is a coherent starting point for specialized agents and automated routines. Dify provides more explicit support for document-based applications, API access and a wider range of listed models. Community statistics describe different strengths without settling quality. Let your intended architecture guide the choice. Pricing, license terms and human approval arrangements remain unresolved for both projects and need clarification before you can complete a deployment decision.