Hf Agents

hf-agents : `hf` CLI extension to detect the best model/quant for a user's hardware and then spins up a local coding agent

hf-agents is a HF CLI extension that uses [llmfit](https://github.com/AlexsJones/llmfit) to detect the user's hardware and recommend models they can actually run, then spins up a local [llama.cpp](https://github.com/ggml-org/llama.cpp) server with the most suited model and launches a coding agent with [Pi](https://github.com/badlogic/pi-mono).

Go from "what can my machine run?" to "running a local coding agent" in one command.

Requirements & References

• How to create a HF CLI extension guide: https://huggingface.co/docs/huggingface_hub/en/guides/cli-extensions
• llmfit : hardware detection & model recommendations
• llama.cpp : llama-server for local inference
• Pi : coding agent
• jq, fzf, curl

Installation

curl -LsSf https://hf.co/cli/install.sh | bash
hf extensions install hf-agents

Usage

Hardware detection & model recommendations

Passes through to `llmfit` — all llmfit subcommands work:

hf agents fit recommend -n 5      # top 5 models for your hardware
hf agents fit system              # show detected hardware
hf agents fit search "qwen"       # search models
hf agents fit recommend --use-case coding --min-fit good

Run a local coding agent

Detects your hardware, lets you pick a model, starts llama-server, and launches Pi:

hf agents run pi                  # interactive model selection + coding agent
hf agents run pi --print "hello"  # non-interactive mode, forward args to Pi

If llama-server is already running on the target port, it reuses it and skips model selection.

Environment Variables

Variable	Default	Purpose
LLAMA_SERVER_PORT	8080	Port for llama-server
HF_TOKEN	(from hf CLI)