SrihariLegend

SrihariLegend / rig

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AI coding agent in C. Single binary, zero runtime deps, every major LLM provider. Early stage — contributions welcome.

ai c cli coding-agent developer-tools
10
1
100% credibility
Found Apr 28, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

Rig is a compact standalone program that acts as an AI coding assistant, supporting various AI providers with built-in tools for file editing and shell commands, plus Lua-based extensions.

How It Works

1
🔍 Discover Rig

You hear about a lightweight AI buddy that helps with coding right in your terminal, no big apps needed.

2
📥 Install easily

Run a quick command to download and set up the tiny program on your computer.

3
🔑 Connect AI service

Share a simple access code from your favorite AI provider so it can think and respond.

4
💬 Start chatting

Open your terminal, type a coding question, and watch it understand and help.

5
✨ AI takes action

It safely reads files, suggests edits, runs tests, and asks before changing anything – pure magic!

6
🛠️ Add your twists

Drop in simple notes to teach it custom shortcuts or tools you love.

🚀 Code smarter everywhere

Your new AI partner speeds up coding on any machine, feeling like a pro teammate.

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Star Growth

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AI-Generated Review

What is rig?

Rig is a lightweight AI coding agent that runs as a single 566KB C binary with zero runtime dependencies, connecting to every major LLM provider like Claude, OpenAI, Gemini, Bedrock, and Mistral via simple API keys. Drop it anywhere—terminal, CI, or editor—and it handles coding tasks with built-in tools for reading/writing/editing files, shell execution, grep, ls, and self-introspection, all in a responsive TUI or print/JSON/RPC modes. It's infrastructure for custom coding agents, extensible via Lua scripts without builds or SDKs.

Why is it gaining traction?

Unlike bloated Electron/Python apps that lock you to one provider and drag on startup, rig switches models mid-chat, starts in milliseconds, and fits on a Raspberry Pi—perfect for coding agent benchmarks and comparisons across providers. Devs dig the permission gates on tools, persistent sessions, and slash commands for themes/models, making it a flexible harness for github coding agent jobs or local LLM experiments. Early buzz on auto rig github stems from its "copy-paste-run" simplicity versus heavy alternatives.

Who should use this?

CLI hackers building editor plugins, CI/CD pipelines, or internal tools needing a portable coding agent without Node/Python overhead. Backend devs evaluating coding agent claude vs. others in a coding agents ranking setup, or teams wanting github coding assistant integration in IntelliJ/VSCode via RPC. Ideal for low-resource envs like servers or Pi projects testing coding agent skills.

Verdict

Promising foundation for multi-provider coding agents, but at 10 stars and 1.0% credibility, it's raw—docs are README-only, no benchmarks yet. Try for prototypes if you need a dep-free harness; contribute to mature it.

(198 words)

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