microsoft/foundry-local
None observed · 2026-10-16
Health v2 · maintenance only
87/100
- Activity 100
- Release rhythm 97
- Longevity 40
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 26.5
- age_days: 568
- days_rel: 21
- days_push: 5
- n_releases_24m: 7
Adoption not part of the score
2587 stars · 378 forks observed · 2026-10-16
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Foundry Local is Microsoft's end-to-end local AI runtime and SDK suite (C#, JavaScript, Python, Rust) for running optimized models entirely on-device via ONNX Runtime. It bundles a curated model catalog, automatic NPU/GPU/CPU hardware acceleration, model lifecycle management, and an optional OpenAI-compatible local server.
Use cases
- run LLM chat completions locally without an API key or cloud backend
- transcribe audio on-device with Whisper
- ship offline AI features inside a desktop or mobile app
- point an existing OpenAI SDK app at a local endpoint
- serve local models to LangChain via an OpenAI-compatible server
- automatically pick the best execution provider for NPU, GPU, or CPU
When to choose
- you need on-device inference with data never leaving the user's machine
- you want zero network latency, offline operation, and no per-token costs
- you want automatic hardware acceleration and model management with minimal code
- your app already uses the OpenAI SDK and you want a drop-in local endpoint
When to avoid
- you need frontier-scale models that exceed consumer device hardware
- you require a permissive open-source license (license is custom/unspecified)
- you need multi-node or cloud-scale serving rather than single-device inference
Facets
library · maturity active
llm-inference speech-recognition sdk http-server machine-learning large-language-models artificial-intelligence speech-processing developer-tools windows cross-platform python rust dotnet on-device-ai onnx-runtime openai-compatible local-inference model-catalog hardware-acceleration offline-ai whisper macos nodejs gpu
2 sources
- readme: https://github.com/microsoft/foundry-local · fetched 2026-10-16 · 2911db2ccc15
- homepage: https://foundrylocal.ai · fetched 2026-08-29 · cdd6555e1a95
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| microsoft/foundry-local | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="microsoft/foundry-local")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem