simon3000/zenless-voice
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**Build Claude Code from Scratch Together**
I'm building a minimal, open-source AI agent that runs in the terminal to help with programming tasks. Think of a simplified, from-scratch version of the Claude Code agent 💻.
You can check out the basic framework I've already started here: [github.com/YerbaPage/Terminal-Agent](https://github.com/YerbaPage/Terminal-Agent) 🔥
To be clear, the goal isn't to create a perfect, commercial-grade tool. This is a for-fun project geared towards research and exploration. The main idea is to build a **flexible and minimal framework** that helps us understand the modules and functionalities of sophisticated agents like Claude Code. It's a playground to explore how we can enable agents to handle more complex tasks effectively.
I'm looking for a few people who'd be interested in exploring this together. We could experiment with ideas like adding a to-do list manager to improve planning or finding better ways for the agent to manage its memory like some MCPs do. 🤔
If you're into LLMs and want to build a cool, exploratory project from the ground up, leave a comment or check out the repo! 🤗
I'm building a minimal, open-source AI agent that runs in the terminal to help with programming tasks. Think of a simplified, from-scratch version of the Claude Code agent 💻.
You can check out the basic framework I've already started here: [github.com/YerbaPage/Terminal-Agent](https://github.com/YerbaPage/Terminal-Agent) 🔥
To be clear, the goal isn't to create a perfect, commercial-grade tool. This is a for-fun project geared towards research and exploration. The main idea is to build a **flexible and minimal framework** that helps us understand the modules and functionalities of sophisticated agents like Claude Code. It's a playground to explore how we can enable agents to handle more complex tasks effectively.
I'm looking for a few people who'd be interested in exploring this together. We could experiment with ideas like adding a to-do list manager to improve planning or finding better ways for the agent to manage its memory like some MCPs do. 🤔
If you're into LLMs and want to build a cool, exploratory project from the ground up, leave a comment or check out the repo! 🤗
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