Pantheon-CLI – Open-Source Python Claude Code and Smart Notebook

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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 Python/R/Julia. 2. Mixed programming: Variables persist across natural language and code; the CLI auto-generates and runs code for you. 3. MCP-like agent integration: Read/create files, run commands, fetch web pages, generate/revise code. 4. Human-like learning: Feed it a PDF paper or tutorial—Pantheon-CLI reads it, plans steps, and replicates methods before analysis. 5. Task planning: Builds scientific agents by learning from papers/tutorials (not just fixed, human-predefined steps). 6. Multi-model support: Works with OpenAI, Anthropic, Gemini, DeepSeek, Qwen, etc. + offline local LLMs (ollama, deepseek, gpt-oss). 7. Multi-RAG support: Pre-learns from docs/web into a local “brain” for more credible outputs without massive token costs. 8. Built-in biology toolsets: For omics analysis (alignment, annotation, differential expression, full paper reproduction). 9. Notebook mode: Brings the same agentic workflow into Jupyter—automatically runs and revises code, operates on files, and learns from tutorials/papers. Pantheon-CLI is our attempt to push beyond “AI writes code for you.” Instead, it’s an agentic operating system for data analysis, spanning both terminal and notebook. Repo: https://github.com/aristoteleo/pantheon-cli Tutorial: https://pantheonos.stanford.edu/cli/docs/intro/getting-start... Home page: https://pantheonos.stanford.edu/ Would love to hear feedback from the HN community—what use cases would you try this for, and what features would make it more useful to you?

Visit product View on Hacker NewsAug 26, 2025

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nativeThis product was originally launched on this platform.

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