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learn-claude-code

shareAI-lab/learn-claude-code

A nano claude code-like agent harness built from scratch

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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77k stars12k forksLast push Aug 26, 2026 Python MIT

Decision brief

learn-claude-code is a Python-based project that focuses on teaching the design principles of building an AI agent harness from scratch, rather than copying existing code.

Good fit when

  • When you want to understand the foundational design principles of AI agent harnesses without relying on complex frameworks.
  • If you are interested in learning how to build an AI agent harness using basic tools and Python, emphasizing the educational aspect over direct code replication.

Avoid when

  • If you are looking for a ready-to-use, complex AI agent framework that requires minimal customization or understanding of underlying principles.
  • When you need a comprehensive, out-of-the-box solution for deploying advanced AI agents without the need for deep understanding or hands-on development.
Requirements:
Min 1 GB RAM; Basic Python knowledge is required to follow the tutorials and build the agent harness.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Active (22d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
2 low (2 low)
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install learn-claude-code
PyPI

How it fits your stack(32)

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Overview

A Python-based project that teaches how to build an AI agent harness using basic tools, emphasizing understanding key designs over copying code.

Capability facts

Languages
python

Source: github.language · Sep 18, 2026

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README

License MIT Agency comes from the model. The harness gives agency a place to land. Build the harness well, and the model will do the rest. Bash is all you need. Real agents are all the universe needs. This is not "copy the source code." This is "grasp the key designs and build it...

For agents

This page has a .md twin and JSON over the API.

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