Gitingest: Convert GitHub Repos into AI-Ready Text Digests
Explore how Gitingest turns complex GitHub repositories into structured text digests that are perfect for AI models. Learn how to install, use via CLI or browser, and even self-host it with Docker.
Navigating large codebases just got easier! Meet Gitingest — the open-source tool that transforms any GitHub repository into a clean, LLM-ready digest.
💼 Personal Story
It was a late night, and I was just busy and tired of coding and debugging. I had a huge project was pending, and I didn’t had the energy to read through the entire codebase of GitHub repo.
I was using ChatGPT to help me with the code, but I was still struggling to get the right context. Every time I asked it about a specific part of the code, it would take a while to understand the context. And most of the time, the memory was limited to the last few lines of code.
Then I Found Gitingest. It was a game-changer! I could just point it to the GitHub repo, and it would give me a clean, structured digest of the entire codebase. No more scrolling through endless lines of code or trying to explain the context to ChatGPT.
I could just copy and paste the digest into ChatGPT, and it would understand everything perfectly. It saved me so much time and effort, and I was finally able to focus on the actual coding instead of getting lost in the details.
I was so impressed with Gitingest that I decided to share it with my friends and colleagues. They were equally amazed by how easy it made working with large codebases. It felt like having a personal assistant who could summarize everything for you.
🚀 What is Gitingest?
Gitingest simplifies the process of understanding and summarizing code from Git repositories. With a single command or link edit, developers and AI researchers can get a clean, prompt-ready version of any repo.
🔍 Key Highlights
- LLM-Friendly Output: Converts code into structured, readable text ideal for large language models.
- Effortless Access: Replace
githubwithingestin any GitHub URL to view the digest. - Stats and Insights: See file structure, extract size, and token count.
- Multiple Interfaces: Use via CLI, browser extensions, or Python.
- Open Source: Licensed under the MIT license.
🛠️ Installation
Install Gitingest using pip:
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pip install gitingest
🧪 Python Usage
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from gitingest import ingest
summary, tree, content = ingest("https://github.com/imanoop7/Ollama-OCR")
💻 CLI Usage
Analyze a local directory:
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gitingest /path/to/directory
Ingest a GitHub repo:
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gitingest https://github.com/cyclotruc/gitingest
💾 Output: Saves digest.txt in your current directory.
🌐 Browser Extensions
Install directly via:
🐳 Self-Hosting with Docker
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git clone https://github.com/cyclotruc/gitingest.git
cd gitingest
docker build -t gitingest .
docker run -d --name gitingest -p 8000:8000 gitingest
Access locally at: http://localhost:8000
⚙️ Advanced CLI Options
Exclude specific files:
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gitingest . --exclude *.md
Limit file size:
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gitingest . --max-size 100kb
🎯 Why Use Gitingest?
Whether you’re analyzing open-source projects, training AI, or streamlining team collaboration, Gitingest offers:
- Time-saving summaries
- Enhanced code understanding
- AI optimization
🔗 Useful Links
- Official GitHub: github.com/cyclotruc/gitingest
- Author’s GitHub: github.com/davidesantangelo
- LinkedIn: Anoop Maurya
- Twitter: @imanoop_7
📣 Give it a try and redefine how you engage with codebases!