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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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
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Install
pip install learn-claude-code PyPIHow 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.