shareAI-lab/learn-claude-code
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Star History
Momentum
+1.9K
STARS · LAST 30 DAYS
65
PER DAY
#36
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +455 | +1.9K | +5.9K |
| Per day | 65 | 65 | 65 |
| Forks gained | +62 | +250 | +624 |
learn-claude-code gained 1.9K stars in the last 30 days, about 65 a day, and now has 77.7K. It is about 1 year old and has averaged roughly 77.7K stars a year. It ranks #36 among Python repositories and #128 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#119
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
learn-claude-code has maintained a continuous presence across global trending indexes, peaking at #119. Below is the 30-day activity profile:
💡 Overview
learn-claude-code is an open-source project written in Python: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-development, ai-agent. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install learn-claude-code
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
learn-claude-code coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with learn-claude-code.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install learn-claude-code using your package manager: `pip install learn-claude-code`
Initialize your project workspace or configuration file for learn-claude-code.
Import learn-claude-code into your codebase or invoke it directly from your terminal.
Execute your test suite or run `learn-claude-code --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
shareAI-lab/learn-claude-code is currently ranked #128 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #123 | swisskyrepo/PayloadsAllTheThings | Python | ★ 81.3K | Compare ↗ |
| #124 | netdata/netdata | Go | ★ 80.7K | Compare ↗ |
| #125 | hoppscotch/hoppscotch | TypeScript | ★ 80.5K | Compare ↗ |
| #126 | coder/code-server | TypeScript | ★ 79.5K | Compare ↗ |
| #127 | stablyai/orca | TypeScript | ★ 79.4K | Compare ↗ |
| #128 | shareAI-lab/learn-claude-code This Project | Python | ★ 77.7K | |
| #129 | grafana/grafana | TypeScript | ★ 77K | Compare ↗ |
| #130 | unslothai/unsloth | Python | ★ 76.9K | Compare ↗ |
| #131 | nestjs/nest | TypeScript | ★ 76.7K | Compare ↗ |
| #132 | caddyserver/caddy | Go | ★ 76.1K | Compare ↗ |
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Frequently Asked Questions
What does learn-claude-code do? +
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
What language is learn-claude-code written in? +
The primary language is Python. Topics include: agent, agent-development, ai-agent, claude, claude-code.
Is learn-claude-code actively maintained? +
Yes, the last recorded push was on Aug 26, 2026 with 58 open issues being tracked.
How many stars does learn-claude-code have? +
learn-claude-code has 77,679 stars and 12,484 forks on GitHub.
How does learn-claude-code rank among GitHub repositories? +
With 77,679 stars, shareAI-lab/learn-claude-code is ranked #128 globally across all repositories tracked on GitHubRepo and #36 among Python projects.
What license is learn-claude-code distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.