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View guide →Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
rustunnel is an open-source local llm project by joaoh82 (joaoh82/rustunnel on GitHub). It has 659 GitHub stars and 49 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 3 September 2026.
Fetch the source code onto your machine.
Compile the release binary with Cargo.
Copy the sample config and adjust it.
Launch the compiled binary.
Built around api gateway for a focused workflow.
Built around mcp server for a focused workflow.
Built around ngrok alternative for a focused workflow.
Built around reverse proxy for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/joaoh82/rustunnel.gitCompile with Cargo.
cd rustunnel && cargo build --releaseRun the release binary.
cd rustunnel && ./target/release/rustunnelIt self-hosted, secure tunnel server in Rust. Expose local HTTP/HTTPS/TCP/UDP services to the public internet via TLS-encrypted WebSocket. Open-source, pay-as-you-go managed option, MCP server for AI agents, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Rust, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Feed it a short story and it produces an abstract animated short in the style
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One-command installer for a full self-hosted AI stack on your server.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
A local-first 3-in-1 AI memory layer and MCP server.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if rustunnel is not the right fit.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Free and open — grab the source, star the repo, and start creating.