BodhiApp
Enrichment pendingRun Open Source/Open Weight LLMs locally with OpenAI compatible APIs
GraphCanon updated today · GitHub synced today
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (6d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of today
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install BodhiApp npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
Capability facts
- Languages
- typescript
Source: github.language · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
npm install @bodhiapp/ts-clientSource link
Tags
README
Installation
Bodhi App is currently released only for the Mac platform. You can install it either by downloading the release from the GitHub release page or using Homebrew.
Docker
Bodhi App is available as Docker images with multiple hardware acceleration variants. Each variant is optimized for specific hardware configurations to provide the best performance.
Available Variants
- CPU Variant: Standard CPU-only inference for maximum compatibility (multi-platform: AMD64 + ARM64)
- CUDA Variant: NVIDIA GPU acceleration for faster inference on NVIDIA hardware
- ROCm Variant: AMD GPU acceleration for AMD graphics cards
- Vulkan Variant: Cross-vendor GPU acceleration supporting multiple GPU vendors
Quick Start
CPU Variant (Most Compatible - Auto-detects AMD64/ARM64):
docker run -p 8080:8080 \
-v ./bodhi_home:/data/bodhi_home \
-v ./hf_home:/data/hf_home \
ghcr.io/bodhisearch/bodhiapp:latest-cpu
CUDA Variant (NVIDIA GPU):
docker run --gpus all -p 8080:8080 \
-v ./bodhi_home:/data/bodhi_home \
-v ./hf_home:/data/hf_home \
ghcr.io/bodhisearch/bodhiapp:latest-cuda
ROCm Variant (AMD GPU):
docker run --device=/dev/kfd --device=/dev/dri --group-add video -p 8080:8080 \
-v ./bodhi_home:/data/bodhi_home \
-v ./hf_home:/data/hf_home \
ghcr.io/bodhisearch/bodhiapp:latest-rocm
Vulkan Variant (Cross-vendor GPU):
docker run --device=/dev/dri -p 8080:8080 \
-v ./bodhi_home:/data/bodhi_home \
-v ./hf_home:/data/hf_home \
ghcr.io/bodhisearch/bodhiapp:latest-vulkan
Hardware Requirements
- CPU: Standard x86_64 (AMD64) or ARM64 processor (auto-detected)
- CUDA: NVIDIA GPU with CUDA 12.4+ support and compatible drivers
- ROCm: AMD GPU with ROCm 6.4+ support and compatible drivers
- Vulkan: GPU with Vulkan API support and compatible drivers
Volume Mounts
/data/bodhi_home: Application data, configuration, and downloaded models/data/hf_home: HuggingFace cache directory for model downloads
After starting the container, Bodhi App will be available at http://localhost:8080.
Installation
npm install @bodhiapp/ts-client
For agents
This page has a .md twin and JSON over the API.