head to head · open source

Dify vs OpenComputer

Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. OpenComputer has 535 stars, 62 forks, 30 open issues and last shipped yesterday. Dify leads on adoption by 29,090% (156,167 vs 535 stars). Dify is written in TypeScript under a custom or non-standard licence; OpenComputer is written in TypeScript under Apache-2.0. Dify has attracted 16% as many forks as stars, OpenComputer 12%. OpenComputer was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 OpenComputer ★ 535 category AI & Machine Learning

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Side by side

Dify OpenComputer
GitHub stars ★ 156K ★ 535
License Custom / other Apache-2.0
Written in TypeScript TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 25K ⑂ 62
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 OpenComputer if

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

full OpenComputer 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 OpenComputer

OpenComputer is an Apache 2.0 licensed TypeScript platform for building, steering, and deploying serverless agents as code, aimed at developers and small teams who want persistent cloud virtual machines that hibernate and wake in seconds rather than assembling their own agent hosting.

read the full OpenComputer overview →

More in AI & Machine Learning

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

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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 OpenComputer more popular?

Dify has 156,167 GitHub stars and OpenComputer has 535. Dify has the larger community by that measure.

Are Dify and OpenComputer free?

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

What is the difference between Dify and OpenComputer?

Dify is written in TypeScript and OpenComputer in TypeScript. 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 OpenComputer?

Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose OpenComputer if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.