tauri-plugin-js
A Tauri v2 plugin that spawns and manages JavaScript runtime processes (Bun, Node.js, Deno) from your desktop app. Rust manages process lifecycles and relays stdio via Tauri events. The frontend communicates with backend JS processes through type-safe RPC powered by kkrpc.
Why
Tauri gives you a tiny, fast, secure desktop shell — but sometimes you need a full JS runtime for things the webview can't do: filesystem watchers, native modules, long-running compute, local AI inference, dev servers, etc. This plugin bridges that gap without the weight of Electron.
What it enables:
- Run Bun/Node/Deno workers from a Tauri app with full process lifecycle management
- Type-safe bidirectional RPC between frontend and backend JS processes
- Multiple concurrent named processes with independent stdio streams
- Runtime auto-detection (discovers installed runtimes, paths, versions)
- Custom runtime executable paths via settings
- Compiled binary sidecars — compile TS workers into standalone executables, no runtime needed on user machines
- Clean shutdown on app exit
- Multi-window support — all windows can communicate with the same backend processes
Architecture
graph LR
subgraph Tauri App
FE["Frontend (Webview)<br/>kkrpc RPCChannel"]
RS["Rust Plugin<br/>tauri-plugin-js"]
end
subgraph Child Processes
B["Bun Worker<br/>kkrpc BunIo"]
N["Node Worker<br/>kkrpc NodeIo"]
D["Deno Worker<br/>kkrpc DenoIo"]
end
FE <-->|"Tauri Events<br/>(js-process-stdout/stderr)"| RS
RS <-->|"stdin / stdout"| B
RS <-->|"stdin / stdout"| N
RS <-->|"stdin / stdout"| D
Rust never parses RPC payloads — it forwards raw newline-delimited strings between the webview and child processes. The RPC protocol layer (kkrpc) runs entirely in JS on both sides.
Message flow
sequenceDiagram
participant FE as Frontend (Webview)
participant RS as Rust Plugin
participant RT as JS Runtime
Note over FE,RT: Frontend → Runtime (RPC request)
FE->>RS: writeStdin(name, jsonMessage)
RS->>RT: stdin.write(jsonMessage + \n)
Note over FE,RT: Runtime → Frontend (RPC response)
RT->>RS: stdout line (BufReader::lines)
RS->>FE: emit("js-process-stdout", {name, data})
Note over FE: JsRuntimeIo re-appends \n<br/>kkrpc parses response
Note over FE,RT: Process lifecycle
FE->>RS: spawn(name, config)
RS->>RT: Command::new(runtime).spawn()
RT-->>RS: process exits
RS->>FE: emit("js-process-exit", {name, code})
Install
Rust side
Add to your src-tauri/Cargo.toml:
[]
= { = "../path/to/tauri-plugin-js" }
# or from git:
# tauri-plugin-js = { git = "https://github.com/user/tauri-plugin-js" }
Register in src-tauri/src/lib.rs:
Frontend side
Permissions
Add to src-tauri/capabilities/default.json:
js:default grants all 10 commands: spawn, kill, kill-all, restart, list-processes, get-status, write-stdin, detect-runtimes, set-runtime-path, get-runtime-paths.
Usage
1. Define a shared API type
// backends/shared-api.ts
export interface BackendAPI {
add(a: number, b: number): Promise<number>;
echo(message: string): Promise<string>;
getSystemInfo(): Promise<{ runtime: string; pid: number; platform: string; arch: string }>;
}
2. Write a backend worker
Bun (backends/bun-worker.ts):
import { RPCChannel, BunIo } from "kkrpc";
import type { BackendAPI } from "./shared-api";
const api: BackendAPI = {
async add(a, b) { return a + b; },
async echo(msg) { return `[bun] ${msg}`; },
async getSystemInfo() {
return { runtime: "bun", pid: process.pid, platform: process.platform, arch: process.arch };
},
};
const io = new BunIo(Bun.stdin.stream());
const channel = new RPCChannel(io, { expose: api });
Node (backends/node-worker.mjs):
import from "kkrpc";
const api = ;
const io = ;
const channel = ;
Deno (backends/deno-worker.ts):
import { DenoIo, RPCChannel } from "npm:kkrpc/deno";
import type { BackendAPI } from "./shared-api.ts";
const api: BackendAPI = { /* same methods, using Deno.pid, Deno.build.os, etc. */ };
const io = new DenoIo(Deno.stdin.readable);
const channel = new RPCChannel(io, { expose: api });
3. Spawn and call from the frontend
import { spawn, createChannel, onStdout, onStderr, onExit } from "tauri-plugin-js-api";
import type { BackendAPI } from "../backends/shared-api";
// Spawn a worker
await spawn("my-worker", { runtime: "bun", script: "bun-worker.ts", cwd: "/path/to/backends" });
// Listen to stdio events
onStdout("my-worker", (data) => console.log("[stdout]", data));
onStderr("my-worker", (data) => console.error("[stderr]", data));
onExit("my-worker", (code) => console.log("exited with", code));
// Create a typed RPC channel
const { api } = await createChannel<Record<string, never>, BackendAPI>("my-worker");
// Type-safe calls — checked at compile time
const sum = await api.add(5, 3); // => 8
const info = await api.getSystemInfo(); // => { runtime: "bun", pid: 1234, ... }
4. Spawn a compiled binary sidecar (no runtime needed)
Both Bun and Deno can compile TS workers into standalone executables. Use sidecar instead of runtime to spawn them via Tauri's sidecar resolution:
TARGET=
# Bun — compile directly from the project
# Deno — MUST compile from a separate Deno package (see note below)
Important:
deno compileandnode_modules
deno compilewill crash with a stack overflow if run from a directory that containsnode_modules— it attempts to traverse and compile everything in the directory tree. Deno worker source must live in a separate directory set up as a standalone Deno package (with its owndeno.jsonlisting dependencies like kkrpc). See the example app for the full setup usingexamples/deno-compile/.
Add externalBin to src-tauri/tauri.conf.json so Tauri bundles the sidecars:
import { spawn, createChannel } from "tauri-plugin-js-api";
// Spawn the sidecar — no bun/deno/node needed at runtime
await spawn("my-compiled-worker", { sidecar: "bun-worker" });
// RPC works identically — same worker code, same API
const { api } = await createChannel<Record<string, never>, BackendAPI>("my-compiled-worker");
const sum = await api.add(5, 3); // => 8
The compiled binaries preserve stdin/stdout behavior, so kkrpc works unchanged. This is the recommended approach for production — end users don't need any JS runtime installed.
The plugin resolves sidecars by looking next to the app executable, trying both plain names (production) and target-triple-suffixed names (development).
5. Bundle scripts as resources (for runtime-based spawning in production)
Worker scripts that import kkrpc need node_modules at runtime. In production, bundle them into self-contained JS files first:
# Bundle for bun target (inlines kkrpc dependency)
# Bundle for node target
Then add the bundled files as Tauri resources in tauri.conf.json:
Resolve the script path at runtime:
import { resolveResource } from "@tauri-apps/api/path";
const script = await resolveResource("workers/bun-worker.js");
await spawn("my-worker", { runtime: "bun", script });
Note: Deno workers use npm:kkrpc/deno which Deno resolves natively — no bundling needed, just copy the source file.
6. Runtime detection
import { detectRuntimes, setRuntimePath, getRuntimePaths } from "tauri-plugin-js-api";
const runtimes = await detectRuntimes();
// => [{ name: "bun", path: "/usr/local/bin/bun", version: "1.2.0", available: true }, ...]
// Override a runtime's executable path
await setRuntimePath("node", "/usr/local/nvm/versions/node/v22.0.0/bin/node");
// Get all custom path overrides
const paths = await getRuntimePaths();
API Reference
Commands
| Function | Description |
|---|---|
spawn(name, config) |
Start a named process |
kill(name) |
Kill a named process |
killAll() |
Kill all managed processes |
restart(name, config?) |
Restart a process (optionally with new config) |
listProcesses() |
List all running processes |
getStatus(name) |
Get status of a named process |
writeStdin(name, data) |
Write raw string to a process's stdin |
detectRuntimes() |
Detect installed runtimes (bun, node, deno) |
setRuntimePath(rt, path) |
Override executable path for a runtime |
getRuntimePaths() |
Get all custom path overrides |
Events
| Event | Payload | Description |
|---|---|---|
js-process-stdout |
{ name, data } |
Line from process stdout |
js-process-stderr |
{ name, data } |
Line from process stderr |
js-process-exit |
{ name, code } |
Process exited |
RPC Helper
createChannel<LocalAPI, RemoteAPI>(processName, localApi?) — creates a kkrpc channel over the process's stdio, returns { channel, api, io }. The api proxy is fully typed against RemoteAPI.
SpawnConfig
interface SpawnConfig {
runtime?: "bun" | "deno" | "node"; // Managed runtime
command?: string; // Direct binary path
sidecar?: string; // Tauri sidecar binary name (as in externalBin)
script?: string; // Script file to run
args?: string[]; // Additional arguments
cwd?: string; // Working directory
env?: Record<string, string>; // Environment variables
}
Key Design Decisions
- Rust is a thin relay. It spawns processes, pipes stdio, emits events. It never parses or transforms RPC messages.
- RPC is end-to-end JS. kkrpc runs in both the frontend webview and the backend runtime. Rust just forwards the bytes.
- Newline framing. Rust's
BufReader::lines()strips\n. The frontendJsRuntimeIoadapter re-appends it so kkrpc's message parser works correctly. isDestroyedguard. kkrpc's listen loop continues on null reads. The IO adapter exposesisDestroyedand returns a never-resolving promise fromread()when destroyed, preventing spin loops.
Example App
See examples/tauri-app/ for a full working demo with all three runtimes, compiled binary sidecars, type-safe RPC, runtime detection, and a settings dialog.