--- title: "BodhiApp vs afm-Server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-techopolis-afm-server" tools: ["bodhisearch-bodhiapp", "techopolis-afm-server"] --- # BodhiApp vs afm-Server *GraphCanon updated Sep 20, 2026* ## Verdict Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; 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. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 2026. [afm-Server](https://github.com/Techopolis-Online/Perspective-Intelligence) has 192 stars, 9 forks, and 2 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [afm-Server's repository](https://github.com/Techopolis/afm-Server). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API | | Stars | 139 | 192 | | Forks | 11 | 9 | | Open issues | 12 | 2 | | Language | TypeScript | Swift | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [afm-Server](/tools/techopolis-afm-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 110d | | Open issues (now) | 12 | 2 | | Open issues delta | +2 (30d) | +1 (30d) | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/techopolis-afm-server/trust.md) | ## Decision facts: BodhiApp - **Pricing:** unknown - Pricing details are not mentioned in the repository data. - **Requirements:** Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen. - **Adopt for:** BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. - **License detail:** The license information for BodhiApp has not been provided. ## Decision facts: afm-Server - **Adopt for:** afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; afm-Server is Swift. - Pricing: Pricing details are not mentioned in the repository data.. - Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.. - Tags unique to BodhiApp: gemma, generative-ai, llama, llm. - Also covers LLM Frameworks. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose afm-Server if… - afm-Server is primarily Swift; BodhiApp is TypeScript. - Tags unique to afm-Server: apple-intelligence, foundation-models, macos, menu-bar-app. - 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 BodhiApp - Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. - If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. - You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ## 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 ## Common questions ### What is the difference between BodhiApp and afm-Server? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. 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 BodhiApp over afm-Server? Choose BodhiApp over afm-Server when BodhiApp is primarily TypeScript; afm-Server is Swift; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose afm-Server over BodhiApp? Choose afm-Server over BodhiApp when afm-Server is primarily Swift; BodhiApp is TypeScript; Tags unique to afm-Server: apple-intelligence, foundation-models, macos, menu-bar-app; 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 BodhiApp? Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ### 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 BodhiApp or afm-Server more popular on GitHub? afm-Server has more GitHub stars (192 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and afm-Server open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or afm-Server? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [afm-Server alternatives](/tools/techopolis-afm-server/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [afm-Server markdown twin](/tools/techopolis-afm-server/alternatives.md)), 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](/compare/bodhisearch-bodhiapp-vs-techopolis-afm-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or afm-Server? BodhiApp: 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 BodhiApp and afm-Server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [afm-Server trust report](/tools/techopolis-afm-server/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bodhisearch-bodhiapp`](/api/graphcanon/graph?tool=bodhisearch-bodhiapp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_