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llamastash
A fast terminal native app (TUI) and CLI with init wizard for launching local LLMs via llama.cpp with zero overhead
That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead.
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I love terminal UIs (see KDash, JWT-UI, and battleship-rs). I wrote KDash, a Kubernetes dashboard TUI in Rust. That was 2020. The Rust TUI ecosystem at the time was tui-rs and a lot of patience. Threading was DIY. Layouts were arithmetic. State management was you-figure-it-out.
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I love terminal UIs (see KDash, JWT-UI, and battleship-rs). I wrote KDash, a Kubernetes dashboard TUI in Rust. That was 2020. The Rust TUI ecosystem at the time was tui-rs and a lot of patience. Threading was DIY. Layouts were arithmetic. State management was you-figure-it-out.
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tokio
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Building LlamaStash brought me back to a lot of that, but the ground has shifted. ratatui (the maintained fork of tui-rs) is a real, polished framework now. tokio makes async daemons boring in a good way. hyper gives you a respectable HTTP server in a few hundred lines. crossterm handles the cross-platform terminal mess. sysinfo covers host metrics. The pieces are all there and you have LLMs to help you speed up everything to 10x.
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I love terminal UIs (see KDash, JWT-UI, and battleship-rs). I wrote KDash, a Kubernetes dashboard TUI in Rust. That was 2020. The Rust TUI ecosystem at the time was tui-rs and a lot of patience. Threading was DIY. Layouts were arithmetic. State management was you-figure-it-out.
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Building LlamaStash brought me back to a lot of that, but the ground has shifted. ratatui (the maintained fork of tui-rs) is a real, polished framework now. tokio makes async daemons boring in a good way. hyper gives you a respectable HTTP server in a few hundred lines. crossterm handles the cross-platform terminal mess. sysinfo covers host metrics. The pieces are all there and you have LLMs to help you speed up everything to 10x.
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Building LlamaStash brought me back to a lot of that, but the ground has shifted. ratatui (the maintained fork of tui-rs) is a real, polished framework now. tokio makes async daemons boring in a good way. hyper gives you a respectable HTTP server in a few hundred lines. crossterm handles the cross-platform terminal mess. sysinfo covers host metrics. The pieces are all there and you have LLMs to help you speed up everything to 10x.
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Building LlamaStash brought me back to a lot of that, but the ground has shifted. ratatui (the maintained fork of tui-rs) is a real, polished framework now. tokio makes async daemons boring in a good way. hyper gives you a respectable HTTP server in a few hundred lines. crossterm handles the cross-platform terminal mess. sysinfo covers host metrics. The pieces are all there and you have LLMs to help you speed up everything to 10x.
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ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
On the other side, Ollama and LM Studio wrap llama.cpp in friendlier shells. Ollama is opinionated about model storage, format, and config. LM Studio is GUI-first and not terminal native. Both pay a real performance cost compared to raw llama-server, and both hide the underlying primitives that I actually like working with.
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scoop-llamastash
Scoop bucket for llamastash — fast, keyboard-driven TUI for running local models via llama.cpp
# macOS + Linux, one-shot installer curl -fsSL https://llamastash.dev/install.sh | sh # Homebrew (macOS + Linuxbrew) brew install llamastash/llamastash/llamastash # Arch Linux (AUR) yay -S llamastash # source build from the tagged GitHub release yay -S llamastash-bin # prebuilt x86_64 / aarch64 tarball yay -S llamastash-git # main-branch checkout, rebuilds on every -Syu # Windows 11 (PowerShell, no admin elevation) irm https://llamastash.dev/install.ps1 | iex # Windows via Scoop bucket scoop bucket add llamastash https://github.com/llamastash/scoop-llamastash && scoop install llamastash # crates.io (any platform with a Rust toolchain) cargo install llamastash
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MCP server surface. The CLI is already agent-friendly, so I'm double minded about whether a Model Context Protocol server would make integration smoother. I'm personally not a fan of MCP and prefer skills and CLIs.
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Building LlamaStash brought me back to a lot of that, but the ground has shifted. ratatui (the maintained fork of tui-rs) is a real, polished framework now. tokio makes async daemons boring in a good way. hyper gives you a respectable HTTP server in a few hundred lines. crossterm handles the cross-platform terminal mess. sysinfo covers host metrics. The pieces are all there and you have LLMs to help you speed up everything to 10x.
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Five themes plus custom. Catppuccin Macchiato is the default because of course it is.
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There is also an Agent Skills bundle in the repo that teaches your coding agent to use the CLI properly. Drop it into your OpenCode, OpenClaw, or Claude Code skills directory and the agent learns to prefer --json, branch on exit codes, and read status --json before configuring an OpenAI-compatible client.