Comparison
dify vs AutoGPT
Verdict
Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · dify alternatives · AutoGPT alternatives
GraphCanon updated Oct 4, 2026
18views this month
Trust & integrity
| Signal | dify | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- dify
- 156k
- AutoGPT
- 187k
Forks
- dify
- 25k
- AutoGPT
- 46k
Open issues
- dify
- 1.1k
- AutoGPT
- 593
Language
- dify
- TypeScript
- AutoGPT
- Python
Adopt for
- dify
- Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- dify
- -
- AutoGPT
- -
Runtime
- dify
- -
- AutoGPT
- -
License
- dify
- Other
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- dify
- Sep 18, 2026
- AutoGPT
- Sep 18, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- dify
- 1.1k
- AutoGPT
- 593
Stars delta
- dify
- +4.5k (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- dify
- +172 (30d)
- AutoGPT
- +76 (30d)
Full report
- dify
- Trust report
- AutoGPT
- Trust report
Typed relationship
Choose dify if…
- dify is primarily TypeScript; AutoGPT is Python.
- 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, agentic-workflow, automation.
- Also covers Data & Retrieval.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
When NOT to use dify
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool.
- When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites.
- If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
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, artificial-intelligence, autonomous-agents, gpt.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
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 Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: dify 156k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and AutoGPT?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. 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; 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, agentic-workflow, automation; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- 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, artificial-intelligence, autonomous-agents, gpt; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- When should I avoid dify?
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
- When should I avoid AutoGPT?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is dify or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 156,243). 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.