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  20. 20AL

    Hi HN! I wanted to share my freshly finished open-source project. It is similar to ChatGPT Code Interpreter, but the interpreter runs locally and it can use open-source models like Llama 2. It allows you to work with sensitive data without uploading it to the cloud. Either you use a local LLM (like Llama 2), or an API (like GPT-4). For the latter case, there is an approval mechanism in the UI, which separates your local data from the remote services. I would be very interested in your valuable feedback!

    2023 · github.com

  21. 21OS

    Hi friends! I've been waiting for ChatGPT Code Interpreter access for so long that I decided to just build my own. I figured maybe some of you are in the same boat so decided to do it as an Open Source project.

    2023 · ricklamers.io

  22. 22PC

    Hi, We’ve built Pantheon-CLI, an fully open-source project that aims to be the “Python Claude Code + Notebook” — but designed for data analysis instead of just coding. Unlike most AI coding assistants, Pantheon-CLI runs entirely on your machine (or server). No data upload required. It blends natural language and code in a single workflow, keeping variables in memory and letting you switch seamlessly between typing code and asking in plain English. What it does: 1. Chat with your data: Directly process CSV, Excel, AnnData, Pickle, Torch tensors, or any format supported by…

    2025 · github.com

  23. 23CP

    I'm building an AI platform, FlowChai and found a neat use case for it today that I thought would be useful to HN readers. I use GPT4 heavily for writing / editing code, but a major downside is that it doesn't know about new projects. I made the connection today that I could upload the zip file of a Github repo to FlowChai and then write prompts just like with ChatGPT with code questions. While the original intent for this platform is more around natural language, it's neat how this works so well. It's powered underneath by pgvector and OpenAI embeddings.

    2023 · flowch.ai

  24. 24OS

    800M people use ChatGPT and Claude weekly. Right now they get text responses. Soon they'll get real interfaces: product cards, blog posts, booking flows, payment screens rendered directly in the conversation. We built an open-source component library for this. Install any block with one command and customize it to your brand. If you're building MCP servers or experimenting with AI-native apps, this might save you time. Are you building apps for AI assistants? Would love to hear what's missing in your workflow.

    Dec 2025 · ui.manifest.build

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