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OpenJet is a terminal-based AI coding assistant that sets up your local LLM stack in seconds. It gives you a private coding workflow on your own hardware with zero API bills and zero configuration hell.
OpenJetCode with a Local LLM in seconds.
Louis Forsterleft a comment
I have been thinking that the barrier to setting up local LLMs should be lowered to allow people to get the most out of their hardware and models. So that's what Openjet is about, it auto-detects your hardware and configures the llama.cpp server with the best model and parameters. Using openjet, I get ~38-40 tok/s without configuring anything (all I did was run the install command from the...
OpenJetCode with a Local LLM in seconds.
Louis Forsterleft a comment
I am building a Terminal User Interface (like Claude Code) for self-hosted AI agents on Jetsons. Works in air-gapped environments. Unlike other solutions, this is optimised for unified memory machines, as to avoid OOM errors. The agent can do stuff like edit, read, create files - manage and interpret data locally. Currently, it gets ~17 tok/s on Jetson Orin Nano 8GB using Qwen3-4B-Instruct-4bit...
OpenJetAgentic TUI for self-hosted LLMs on the Edge
Agentic Terminal User Interface for NVIDIA Jetson devices for local LLMs without any internet connection. Think Claude Code for edge compute.
Fully local operation. No cloud transport, no API keys, no latency. All inference and logs stay on-device.
It works with unified memory systems where memory management is crucial
OpenJetAgentic TUI for self-hosted LLMs on the Edge