nauvalazhar

nauvalazhar / tiny-agent

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A coding agent CLI built from scratch in a single TypeScript file.

12
2
100% credibility
Found Apr 13, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Tiny-agent is a compact program that lets users chat with an AI to read, edit, and manage code files, run commands, and search the web securely within their project directory.

How It Works

1
📖 Discover Tiny Agent

You hear about a simple helper that uses AI to assist with coding tasks right in your project folder.

2
💻 Get it ready

Place the single program file into the folder where your project lives, and prepare it to run.

3
🔗 Connect the AI brain

Link it to an AI service so your helper can understand and respond to your requests.

4
💬 Start chatting

Open it up and type your first coding request, like fixing a bug or adding a feature.

5
Choose to plan or act
📋
Plan mode

Review the detailed plan it creates, then approve to go ahead.

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Direct action

Let it read files, suggest edits, or run safe commands while you approve each step.

6
✨ See magic happen

Watch as it reads your code, makes precise changes, searches info if needed, and updates your project.

🎉 Project improved

Your coding work is faster and better, with sessions saved so you can pick up anytime.

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Star Growth

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AI-Generated Review

What is tiny-agent?

Tiny-agent is a minimalist CLI coding agent built in a single TypeScript file using Bun and the Anthropic Claude API. It handles real coding workflows by reading, editing, and creating files in your project, running shell commands, searching the web, and even spawning subagents for focused tasks. Developers get a lightweight open source coding agent on GitHub that demystifies tools like Cursor or Aider, letting you prototype AI-assisted coding without bloat.

Why is it gaining traction?

In the crowded coding agents comparison and ranking scene—think GitHub coding AI versus Google or Pi models—this stands out as a tiny agent framework that's dead simple to hack on and extend. User-facing perks like plan mode (/plan to preview changes), permission prompts for safety, session persistence (/resume past chats), and cheap prompt caching keep costs low (pennies per task) while streaming responses feel snappy. It's a benchmark for coding agent skills, showing how a while-loop core powers pro features without fancy UIs.

Who should use this?

Solo backend devs debugging configs or refactoring modules in Node projects. Frontend folks generating boilerplate React components from specs. Indie hackers prototyping GitHub coding project ideas or scripting GitHub coding space automations, especially if you're evaluating coding agent pricing and workflows before committing to paid github coding assistants like those in IntelliJ.

Verdict

Grab it if you're into coding agent GitHub experiments or teaching agentic patterns—installs in seconds with Bun and runs anywhere. With just 12 stars and 1.0% credibility score, it's an early learning project lacking polish like tests or multi-model support, but its transparency makes it ideal for forking into your own github coding agent jobs tool.

(198 words)

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