head to head · open source

Dify vs Agno

Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped yesterday. Agno has 42,226 stars, 5,947 forks, 1,419 open issues and last shipped 2 days ago. Dify leads on adoption by 270% (156,215 vs 42,226 stars). Dify is written in TypeScript under a custom or non-standard licence; Agno is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, Agno 14%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Dify ★ 156K Agno ★ 42K category AI & Machine Learning

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Side by side

Dify Agno
GitHub stars ★ 156K ★ 42K
License Custom / other Apache-2.0
Written in TypeScript Python
Last push 2026-09-18 2026-09-17
Forks ⑂ 25K ⑂ 5.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 156K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick Agno if

  • You want the Agno feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Agno fits your workflow better

full Agno profile →

About Dify

Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.

read the full Dify overview →

About Agno

Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.

read the full Agno overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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openclaw vs dify n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs multica openclaw vs langgraph openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Dify vs langchain Dify vs ponytail Dify vs generative-ai-for-beginners Dify vs graphify Dify vs claude-mem Dify vs ragflow Dify vs PaddleOCR Dify vs Agent-Reach Dify vs headroom Dify vs Mem0 Dify vs daily_stock_analysis Dify vs LiteLLM

Frequently asked questions

Is Dify or Agno more popular?

Dify has 156,215 GitHub stars and Agno has 42,226. Dify has the larger community by that measure.

Are Dify and Agno free?

Both are open source. Dify has no licence declared in this registry, and Agno is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and Agno?

Dify is written in TypeScript and Agno in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Dify or Agno?

Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.