Comparison
dify vs AutoGPT
Verdict
Pick dify if dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms; pick AutoGPT if autoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Markdown twin · dify alternatives · AutoGPT alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | dify | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dify
- Production-ready platform for agentic workflow development
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- dify
- 152k
- AutoGPT
- 187k
Forks
- dify
- 24k
- AutoGPT
- 46k
Open issues
- dify
- 931
- AutoGPT
- 517
Language
- dify
- TypeScript
- AutoGPT
- Python
Adopt for
- dify
- Dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- dify
- -
- AutoGPT
- -
Runtime
- dify
- -
- AutoGPT
- -
License
- dify
- Other
- AutoGPT
- Other
Last pushed
- dify
- Aug 7, 2026
- AutoGPT
- Aug 15, 2026
Categories
- dify
- AI Agents
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- dify
- 931
- AutoGPT
- 517
Stars delta
- dify
- +3.6k (30d)
- AutoGPT
- +1.0k (30d)
Open issues delta
- dify
- +118 (30d)
- AutoGPT
- +19 (30d)
Full report
- dify
- Trust report
- AutoGPT
- Trust report
Typed relationship
dify alternative AutoGPTBoth AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents.
Choose dify if…
- dify is primarily TypeScript; AutoGPT is Python.
- Requirements: Min 4 GB RAM; Requires Docker.
- Both AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents.
- Tags unique to dify: agent, agentic-framework, automation, gemini.
- When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
When NOT to use dify
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
- In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
Choose AutoGPT if…
- AutoGPT is primarily Python; dify is TypeScript.
- Both AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents.
- Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-agents.
- Also covers LLM Frameworks.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgenius/dify) · observed Aug 8, 2026
- GitHub forks (langgenius/dify) · observed Aug 8, 2026
- Last push (langgenius/dify) · observed Aug 7, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dify 152k · AutoGPT 187k (synced Aug 8, 2026).
Common questions
- What is the difference between dify and AutoGPT?
- dify: Production-ready platform for agentic workflow development. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over AutoGPT?
- Choose dify over AutoGPT when dify is primarily TypeScript; AutoGPT is Python; Requirements: Min 4 GB RAM; Requires Docker; Both AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents; Tags unique to dify: agent, agentic-framework, automation, gemini; When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
- When should I choose AutoGPT over dify?
- Choose AutoGPT over dify when AutoGPT is primarily Python; dify is TypeScript; Both AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents; Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-agents; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid dify?
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0. In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is dify or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 151,725). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and AutoGPT open source?
- Yes - both are open-source projects on GitHub (dify: Other, AutoGPT: Other).
- Where can I find alternatives to dify or AutoGPT?
- GraphCanon lists graph-backed alternatives at dify alternatives and AutoGPT alternatives (dify markdown twin, AutoGPT markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dify or AutoGPT?
- dify: Very active. AutoGPT: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for dify and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; AutoGPT trust report.