microsoft/JARVIS

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

25208 stars · 2206 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

JARVIS (HuggingGPT) is a system that uses an LLM as a controller to plan tasks and orchestrate numerous expert ML models from the HuggingFace Hub as executors. It connects language models with the broader ML community to solve complex AI tasks across modalities.

Use cases

• orchestrate multiple AI models with an LLM controller
• solve multimodal AI tasks via natural language
• build an LLM agent that calls HuggingFace models
• automate task planning and model selection with GPT
• run a server that routes requests to expert models
• benchmark LLM task automation capabilities

When to choose

• you want an LLM to coordinate many HuggingFace expert models
• you need task planning, model selection, and execution in one pipeline
• you want to experiment with LLM-driven agent orchestration research

When to avoid

• you need a lightweight production agent framework with minimal dependencies
• you don't have access to an OpenAI/Azure LLM endpoint or local model endpoints
• you need guaranteed low-latency responses, since multi-stage orchestration is slow

Facets

framework · maturity active

agent-framework llm-inference machine-learning rag artificial-intelligence large-language-models deep-learning python cli hugginggpt llm-orchestration huggingface-models task-planning tool-use pytorch ai-agents docker web-server

Member repositories

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markdown · JSON · MCP: product_card(name="microsoft/JARVIS")