head to head · open source

graphify vs GenericAgent

graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. GenericAgent has 14,384 stars, 1,665 forks, 171 open issues and last shipped yesterday. graphify leads on adoption by 881% (141,064 vs 14,384 stars). graphify is written in Python under Apache-2.0; GenericAgent is written in Python under MIT. graphify has attracted 10% as many forks as stars, GenericAgent 12%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (gemini), 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.

graphify ★ 141K GenericAgent ★ 14K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

graphify GenericAgent
GitHub stars ★ 141K ★ 14K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 13K ⑂ 1.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 141K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick GenericAgent if

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

full GenericAgent profile →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

read the full graphify overview →

About GenericAgent

GenericAgent A Minimal, Self Evolving Autonomous Agent Framework 3K lines of seed code · 9 atomic tools · 100 line Agent Loop English · 中文 📌 Official: GitHub + only. DintalClaw is the sole authorized commercial partner; others are not affiliated. 🌟 Overview GenericAgent is a minimal, self evolving autonomous agent framework. Its core is just 3K lines of code . Through 9 atomic tools + a 100 line Agent Loop , it grants any LLM system level control over a local computer — covering browser, terminal, filesystem, keyboard/mouse input, screen vision, and mobile devices (ADB). Design philosophy — don't preload…

read the full GenericAgent overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

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

Frequently asked questions

Is graphify or GenericAgent more popular?

graphify has 141,064 GitHub stars and GenericAgent has 14,384. graphify has the larger community by that measure.

Are graphify and GenericAgent free?

Both are open source. graphify is licensed under Apache-2.0 and GenericAgent under MIT. Neither carries a licence fee.

What is the difference between graphify and GenericAgent?

graphify is written in Python and GenericAgent 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, graphify or GenericAgent?

Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose GenericAgent if its feature set, stack or MIT licence fits better. Both are self-hostable.