head to head · open source

Dify vs CL4R1T4S

Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. CL4R1T4S has 49,980 stars, 10,268 forks, 127 open issues and last shipped 8 days ago. Dify leads on adoption by 212% (156,167 vs 49,980 stars). Dify is written in TypeScript under a custom or non-standard licence; CL4R1T4S is written in various languages under AGPL-3.0. Dify has attracted 16% as many forks as stars, CL4R1T4S 21%. 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 CL4R1T4S ★ 50K category AI & Machine Learning

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Side by side

Dify CL4R1T4S
GitHub stars ★ 156K ★ 50K
License Custom / other AGPL-3.0
Written in TypeScript
Last push 2026-09-17 2026-09-10
Forks ⑂ 25K ⑂ 10K
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 CL4R1T4S if

  • You want the CL4R1T4S feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • You evaluated both and CL4R1T4S fits your workflow better

full CL4R1T4S 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 CL4R1T4S

CL4R1T4S is an AGPL 3.0 repository of full extracted system prompts, guidelines and tools from the major AI models and agents — ChatGPT, Claude, Gemini, Grok, Perplexity, Cursor, Lovable, Replit and more — for anyone who wants to know what instructions sit behind the AI systems they use.

read the full CL4R1T4S overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

dify vs langchain dify vs ponytail dify vs graphify dify vs claude-mem dify vs ragflow langchain vs ponytail langchain vs graphify ponytail vs graphify openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

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 CL4R1T4S more popular?

Dify has 156,167 GitHub stars and CL4R1T4S has 49,980. Dify has the larger community by that measure.

Are Dify and CL4R1T4S free?

Both are open source. Dify has no licence declared in this registry, and CL4R1T4S is licensed under AGPL-3.0. Both are free to self-host.

What is the difference between Dify and CL4R1T4S?

Dify is written in TypeScript and CL4R1T4S in various languages. 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 CL4R1T4S?

Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose CL4R1T4S if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.