GraphCanon updated Sep 19, 2026 · GitHub synced Sep 19, 2026
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Decision brief
BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
Good fit when
- You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- Your workload benefits from maximum compatibility across x86_64 and ARM64 architectures using the CPU variant.
Avoid when
- 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.
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install BodhiApp npmHow it fits your stack(1)
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Relationship graph
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Similar tools
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Evidence and technical details
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Overview
Bodhi App supports the deployment of local large language models through various hardware acceleration methods including CPU, CUDA (NVIDIA), ROCm (AMD), and Vulkan for multi-vendor GPU support. Distributed as Docker images, it allows for flexible performance tuning depending on hardware configurations.
Capability facts
- Languages
- typescript
Source: github.language · Sep 19, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 19, 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 i...
For agents
This page has a .md twin and JSON over the API.