A secure agentic workbench built on top of llama-cpp tools for local AI.
Most noteable features:
What has been cooked up in this repo is a secure agent that you customize for your use-cases.
This project is feature complete, future work will be focused on UI/workflow improvements and bug fixes. The goal is to make the app easy so that all that is necessary to get started is:
git clone https://github.com/synthstation/loom.git
cd loom
make install
loom
Right now you need to know the getting started flow is download/scan for models -> create a new server of the model -> start the server -> chat with the model/server.
I use Arch Linux and AMD Radeon hardware, these are the things I have to install on the hosts where this app runs llama-cpp (local or remote over ssh).
pacman -S llama-cpp ggml-cpu ggml-vulkan iwd openssh socat python rsync
pacman -S vulkan-radeon vulkan-icd-loader vulkan-tools
Chat

Library

This README is the only human maintained file in this repo, the LLMs used to produce this maintain README.AI-GEN.md.
3 commits
Python
48.2%
JavaScript
42.7%
CSS
8.2%
A secure agentic workbench built on top of llama-cpp tools for local AI.
Most noteable features:
What has been cooked up in this repo is a secure agent that you customize for your use-cases.
This project is feature complete, future work will be focused on UI/workflow improvements and bug fixes. The goal is to make the app easy so that all that is necessary to get started is:
git clone https://github.com/synthstation/loom.git
cd loom
make install
loom
Right now you need to know the getting started flow is download/scan for models -> create a new server of the model -> start the server -> chat with the model/server.
I use Arch Linux and AMD Radeon hardware, these are the things I have to install on the hosts where this app runs llama-cpp (local or remote over ssh).
pacman -S llama-cpp ggml-cpu ggml-vulkan iwd openssh socat python rsync
pacman -S vulkan-radeon vulkan-icd-loader vulkan-tools
Chat

Library

This README is the only human maintained file in this repo, the LLMs used to produce this maintain README.AI-GEN.md.
3 commits
Python
48.2%
JavaScript
42.7%
CSS
8.2%