Paseru

Paseru / sinew

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Desktop IDE with built-in AI coding agents

19
4
100% credibility
Found May 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Sinew is a desktop AI coding application that gives you complete control over how an AI assistant helps you code. Unlike fixed AI tools, Sinew lets you customize which abilities the AI has, reword its instructions, and even toggle features on and off. You can work with a single AI assistant or launch a team of multiple AI agents that coordinate together on complex projects. The app includes a built-in code editor and terminal, connects to various AI providers (Anthropic, OpenAI, Google, and others), and supports Model Context Protocol extensions. It's designed for developers who want an AI coding partner that adapts to their workflow rather than forcing them into a rigid approach.

How It Works

1
📥 Download and install the app

You grab the installer from the releases page and install Sinew on your computer, just like any other app.

2
🚀 Open your project folder

You launch Sinew and point it to the folder where your code lives. The app shows you a file tree and a code editor, ready to go.

3
🔑 Connect your AI service

You sign in to your preferred AI provider—Anthropic, OpenAI, Google, or others—using your existing account. Everything stays connected to your own subscription.

4
đź’¬ Start chatting with your AI assistant

You type a question or describe what you want to build. The AI reads your files, runs commands, searches your code, and makes changes—all inside the app.

5
Choose your working style
🤝
Solo mode

One AI assistant handles everything, like pair programming with a smart colleague.

👥
Team mode

Multiple AI agents each take different roles—architect, builder, tester—and share progress on a task board.

6
⚙️ Shape the AI's harness

You open settings and customize which tools the AI can use. You can reword descriptions, turn features on or off, and decide exactly what the AI sees and does.

✨ Your project comes together

Files get written, tests run, ideas get explored. You have a powerful coding partner that does exactly what you need—no more, no less.

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AI-Generated Review

What is sinew?

Sinew is a desktop AI coding IDE that puts you in control of how the AI works. Built with Rust and Tauri 2, it pairs a Monaco editor with an embedded terminal to give you a real development environment, not just a chat interface. The standout feature: every tool description is editable and toggleable. You decide what the AI can see and do, then version those settings with your project. It supports Anthropic, OpenAI, Google, Kimi, and OpenRouter out of the box, with OAuth where available.

Why is it gaining traction?

Most AI coding tools ship a fixed harness you cannot change. Sinew flips this. You can strip it down to just read/patch/bash for a minimal pair-programmer experience, or unlock the full toolkit including web search, image generation, and MCP server integration. The agent swarm feature is particularly interesting: launch multiple sub-agents with different roles (architect, frontend, backend) that coordinate through a shared task board and direct messaging. The main agent stays in the loop, can stop teammates, or hand work off. This is a capability usually reserved for much more expensive enterprise tooling.

Who should use this?

Developers who want AI assistance without surrendering control. If you've been frustrated that AI tools make assumptions you cannot override, Sinew's editable tool descriptions solve that. Teams using different AI providers will appreciate the unified interface. Power users who want agent swarms for complex multi-file refactors or parallel task work will find capabilities here that CLI-only tools lack. Not yet for teams needing enterprise support or guaranteed uptime.

Verdict

At 19 stars and 1.0% credibility, this is early-stage software with real ambition. The Rust foundation suggests long-term stability, and the feature set is genuinely differentiated. Build from source if you're comfortable with pre-1.0 software. Watch the releases page if you prefer installers with less risk. The editable harness concept alone justifies a weekend experiment if you spend significant time in AI coding tools.

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