Home/Compare/dify vs AutoGPT

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

dify logo

dify

langgenius/dify

★ 156kpushed Sep 18, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 187kpushed Sep 18, 2026

Trust & integrity

SignaldifyAutoGPT
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

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.
  • 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 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.

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