---
title: "BodhiApp vs LLM-Hub"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-timmyy123-llm-hub"
tools: ["bodhisearch-bodhiapp", "timmyy123-llm-hub"]
---

# BodhiApp vs LLM-Hub

*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 LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models.

[BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [LLM-Hub](https://llm-hub.app) has 561 stars, 116 forks, and 37 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [LLM-Hub's repository](https://github.com/timmyy123/LLM-Hub).

| | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) |
| --- | --- | --- |
| Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Local AI Assistant on your phone |
| Stars | 136 | 561 |
| Forks | 10 | 116 |
| Open issues | 10 | 37 |
| 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. | Local AI assistant for mobile phones via C++, supports multiple models. |
| Persona | - | - |
| Runtime | - | - |
| License | The license information for BodhiApp has not been provided. | Other |
| Categories | Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 18d | 0d |
| Open issues (now) | 10 | 37 |
| Stars delta | Unknown | +47 (30d) |
| Open issues delta | Unknown | +6 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/timmyy123-llm-hub/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: LLM-Hub

- **Adopt for:** Local AI assistant for mobile phones via C++, supports multiple models.

## Choose when

### Choose BodhiApp if…

- BodhiApp is primarily TypeScript; LLM-Hub 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, llm.
- Also covers LLM Frameworks.
- You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.

### Choose LLM-Hub if…

- LLM-Hub is primarily C++; BodhiApp is TypeScript.
- Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4.
- Also covers Developer Tools.
- You need local deployment of LLMs on mobile devices without relying on cloud services.

## 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 LLM-Hub

- Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally.
- If your application is not compatible with or cannot be adapted to a C++ environment.

## Common questions

### What is the difference between BodhiApp and LLM-Hub?

BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.

### When should I choose BodhiApp over LLM-Hub?

Choose BodhiApp over LLM-Hub when BodhiApp is primarily TypeScript; LLM-Hub 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, 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 LLM-Hub over BodhiApp?

Choose LLM-Hub over BodhiApp when LLM-Hub is primarily C++; BodhiApp is TypeScript; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers Developer Tools; You need local deployment of LLMs on mobile devices without relying on cloud services.

### 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 LLM-Hub?

Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. If your application is not compatible with or cannot be adapted to a C++ environment.

### Is BodhiApp or LLM-Hub more popular on GitHub?

LLM-Hub has more GitHub stars (561 vs 136). Stars measure visibility, not whether either tool fits your constraints.

### Are BodhiApp and LLM-Hub open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to BodhiApp or LLM-Hub?

GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [LLM-Hub alternatives](/tools/timmyy123-llm-hub/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [LLM-Hub markdown twin](/tools/timmyy123-llm-hub/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-timmyy123-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, BodhiApp or LLM-Hub?

BodhiApp: Active. LLM-Hub: 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 LLM-Hub?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [LLM-Hub trust report](/tools/timmyy123-llm-hub/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/_
