Comparison
airunner vs afm-Server
Verdict
Pick airunner if aIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API; pick afm-Server if afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Markdown twin · airunner alternatives · afm-Server alternatives
GraphCanon updated Sep 20, 2026
26views this month
vs
Trust & integrity
| Signal | airunner | afm-Server |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (110d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- airunner
- Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows
- afm-Server
- macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API
Stars
- airunner
- 1.3k
- afm-Server
- 192
Forks
- airunner
- 103
- afm-Server
- 9
Open issues
- airunner
- 70
- afm-Server
- 2
Language
- airunner
- Python
- afm-Server
- Swift
Adopt for
- airunner
- AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API.
- afm-Server
- afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Persona
- airunner
- -
- afm-Server
- -
Runtime
- airunner
- -
- afm-Server
- -
License
- airunner
- GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner.
- afm-Server
- MIT
Last pushed
- airunner
- Sep 19, 2026
- afm-Server
- Jun 2, 2026
Categories
- airunner
- Computer Vision, Inference & Serving, Speech & Audio
- afm-Server
- Inference & Serving
Trust and health
Maintenance
- airunner
- Very active (96%)
- afm-Server
- Slowing (36%)
Days since push
- airunner
- 0d
- afm-Server
- 110d
Open issues (now)
- airunner
- 70
- afm-Server
- 2
Stars delta
- airunner
- +4 (30d)
- afm-Server
- +3 (30d)
Open issues delta
- airunner
- +65 (30d)
- afm-Server
- +1 (30d)
Full report
- airunner
- Trust report
- afm-Server
- Trust report
Choose airunner if…
- airunner is primarily Python; afm-Server is Swift.
- License: airunner is GPL-3.0, afm-Server is MIT.
- Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors.
- Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text.
- Also covers Computer Vision, Speech & Audio.
- airunner ships Docker support for self-hosted deployment.
- When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities
When NOT to use airunner
- If your primary need is cloud-based services as AIRunner focuses on local deployments only
- In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
Choose afm-Server if…
- afm-Server is primarily Swift; airunner is Python.
- License: afm-Server is MIT, airunner is GPL-3.0.
- Tags unique to afm-Server: apple-intelligence, foundation models, local-llm, macos.
- When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment
When NOT to use afm-Server
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments
- When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Capsize-Games/airunner) · observed Sep 20, 2026
- GitHub forks (Capsize-Games/airunner) · observed Sep 20, 2026
- Last push (Capsize-Games/airunner) · observed Sep 19, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Techopolis/afm-Server) · observed Sep 20, 2026
- GitHub forks (Techopolis/afm-Server) · observed Sep 20, 2026
- Last push (Techopolis/afm-Server) · observed Jun 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: airunner 1.3k · afm-Server 192 (synced Sep 20, 2026).
Common questions
- What is the difference between airunner and afm-Server?
- airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. afm-Server: macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API. See the comparison table for live GitHub stats and shared categories.
- When should I choose airunner over afm-Server?
- Choose airunner over afm-Server when airunner is primarily Python; afm-Server is Swift; License: airunner is GPL-3.0, afm-Server is MIT; Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors; Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text; Also covers Computer Vision, Speech & Audio; airunner ships Docker support for self-hosted deployment; When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities.
- When should I choose afm-Server over airunner?
- Choose afm-Server over airunner when afm-Server is primarily Swift; airunner is Python; License: afm-Server is MIT, airunner is GPL-3.0; Tags unique to afm-Server: apple-intelligence, foundation models, local-llm, macos; When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment.
- When should I avoid airunner?
- If your primary need is cloud-based services as AIRunner focuses on local deployments only In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
- When should I avoid afm-Server?
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
- Is airunner or afm-Server more popular on GitHub?
- airunner has more GitHub stars (1,316 vs 192). Stars measure visibility, not whether either tool fits your constraints.
- Are airunner and afm-Server open source?
- Yes - both are open-source projects on GitHub (airunner: GPL-3.0, afm-Server: MIT).
- Where can I find alternatives to airunner or afm-Server?
- GraphCanon lists graph-backed alternatives at airunner alternatives and afm-Server alternatives (airunner markdown twin, afm-Server markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, airunner or afm-Server?
- airunner: Very active. afm-Server: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for airunner and afm-Server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airunner trust report; afm-Server trust report.