head to head · open source

graphify vs atmosphere

graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. atmosphere has 3,828 stars, 763 forks, 10 open issues and last shipped yesterday. graphify leads on adoption by 3,585% (141,064 vs 3,828 stars). graphify is written in Python under Apache-2.0; atmosphere is written in Java under Apache-2.0. graphify has attracted 10% as many forks as stars, atmosphere 20%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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 atmosphere ★ 3.8K category AI & Machine Learning

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Side by side

graphify atmosphere
GitHub stars ★ 141K ★ 3.8K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-11-02 2026-11-02
Forks ⑂ 13K ⑂ 763
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 atmosphere if

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

full atmosphere 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 atmosphere

Atmosphere The real time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long polling, or gRPC, and out through MCP, A2A, and AG UI. A plain @Agent is a full deep agent, batteries included, and Atmosphere handles reconnect, authorization, and governance. Atmosphere is built for teams that need AI agents to behave like production services: streaming over real transports, guarded before every tool call, observable by tenant and run, and portable across AI frameworks without rewriting the endpoint. Why…

read the full atmosphere overview →

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Frequently asked questions

Is graphify or atmosphere more popular?

graphify has 141,064 GitHub stars and atmosphere has 3,828. graphify has the larger community by that measure.

Are graphify and atmosphere free?

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

What is the difference between graphify and atmosphere?

graphify is written in Python and atmosphere in Java. 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 atmosphere?

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