--- title: "BodhiApp vs chatllm.cpp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-foldl-chatllm-cpp" tools: ["bodhisearch-bodhiapp", "foldl-chatllm-cpp"] --- # BodhiApp vs chatllm.cpp *GraphCanon updated Aug 25, 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 chatllm.cpp if this C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [chatllm.cpp](https://github.com/foldl/chatllm.cpp) has 917 stars, 72 forks, and 11 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [chatllm.cpp's repository](https://github.com/foldl/chatllm.cpp). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | C++ real-time chat models for CPU and GPU | | Stars | 136 | 917 | | Forks | 10 | 72 | | Open issues | 10 | 11 | | Language | TypeScript | C++ | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 2d | | Open issues (now) | 10 | 11 | | Stars delta | Unknown | +5 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/foldl-chatllm-cpp/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: chatllm.cpp - **Adopt for:** This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; chatllm.cpp is C++. - 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, local-llm. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose chatllm.cpp if… - chatllm.cpp is primarily C++; BodhiApp is TypeScript. - Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting. - When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ## 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 chatllm.cpp - Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. - Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ## Common questions ### What is the difference between BodhiApp and chatllm.cpp? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. chatllm.cpp: C++ real-time chat models for CPU and GPU. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over chatllm.cpp? Choose BodhiApp over chatllm.cpp when BodhiApp is primarily TypeScript; chatllm.cpp is C++; 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, local-llm; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose chatllm.cpp over BodhiApp? Choose chatllm.cpp over BodhiApp when chatllm.cpp is primarily C++; BodhiApp is TypeScript; Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting; When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses. ### 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 chatllm.cpp? Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities. ### Is BodhiApp or chatllm.cpp more popular on GitHub? chatllm.cpp has more GitHub stars (917 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and chatllm.cpp open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or chatllm.cpp? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [chatllm.cpp alternatives](/tools/foldl-chatllm-cpp/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [chatllm.cpp markdown twin](/tools/foldl-chatllm-cpp/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-foldl-chatllm-cpp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or chatllm.cpp? BodhiApp: Active. chatllm.cpp: Very active. 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 chatllm.cpp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [chatllm.cpp trust report](/tools/foldl-chatllm-cpp/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/_