head to head · open source
graphify vs atmosphere
graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. atmosphere has 3,812 stars, 761 forks, 10 open issues and last shipped 4 days ago. graphify leads on adoption by 3,025% (119,123 vs 3,812 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.
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Side by side
| graphify | atmosphere | |
|---|---|---|
| GitHub stars | ★ 119K | ★ 3.8K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-09-16 | 2026-09-14 |
| Forks | ⑂ 12K | ⑂ 761 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphify if
- You weight community size — 119K 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
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
About graphify
graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.
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 Atmo…
read the full atmosphere overview →
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Frequently asked questions
Is graphify or atmosphere more popular?
graphify has 119,123 GitHub stars and atmosphere has 3,812. 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 (119,123 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.