ConardLi

ConardLi / easy-agent

Public

Fully recreating Claude Code from scratch, so anyone can learn how it works.

91
4
100% credibility
Found Apr 12, 2026 at 91 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Easy Agent is an open-source terminal application recreating a local AI-powered coding assistant with tools for viewing, editing files, running commands, and storing project knowledge.

How It Works

1
🔍 Discover Easy Agent

You hear about Easy Agent, a friendly coding helper that lives in your terminal and assists with everyday programming tasks.

2
📥 Get it ready

You follow simple steps to install it on your computer, making everything quick and straightforward.

3
🔗 Link your AI helper

You connect it to a smart thinking service, unlocking its ability to understand code and give advice.

4
🚀 Start chatting

You open your terminal, launch the assistant, and begin asking questions about your project files.

5
🛡️ Approve safe actions

It shows you what it plans to do, like reading or editing files, and waits for your okay to keep things secure.

6
💾 Save and resume

Your conversations and project notes get saved automatically, so you can pick up right where you left off anytime.

✅ Code smarter

You finish tasks faster with smart suggestions, clean edits, and a helpful partner that remembers your project details.

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Star Growth

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AI-Generated Review

What is easy-agent?

Easy-agent is a TypeScript CLI app that recreates the Claude Code experience as a local, terminal-native coding agent on GitHub. It handles multi-turn chats with streaming responses, file read/write/edit tools, shell execution, grep/glob searches, and project memory storage, all powered by Anthropic's API. Developers get a safe, extensible REPL for code tasks like debugging or refactoring without leaving the terminal.

Why is it gaining traction?

It stands out with a 30-phase roadmap and step-by-step tutorial scripts showing agent evolution from streaming to full orchestration, making it the easy coding agent on GitHub for learning Claude-style workflows. User-facing hooks include plan/auto modes, permission prompts for risky ops, session resume, and token tracking—features rivals often bundle poorly or hide behind GUIs. Early adopters praise the clean CLI options like `--plan` for read-only analysis.

Who should use this?

Fullstack devs prototyping Node.js apps or refactoring repos in the terminal, AI researchers dissecting agentic loops, and ops engineers needing quick shell/file automation with LLM smarts. Ideal for solo hackers tired of VS Code extensions or cloud sandboxes, especially those already using Anthropic models.

Verdict

Grab it if you're into easy agent GitHub experiments or building custom agents—91 stars and 1.0% credibility reflect its foundational stage, with partial roadmap phases and no external contribs yet. Production teams should wait for stability, but it's a solid learning fork today.

(187 words)

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