# Delphi ML

- **Event:** [GPT-6 Astra Hackathon SF](https://cerebralvalley.ai/e/openai-gpt-6-astra-sf)
- **When:** Tue, Sep 8 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Kevin Li](https://cerebralvalley.ai/u/curiouskid423)
- **GitHub:** https://github.com/thekevinli/delphi-macos
- **Demo video:** https://youtu.be/bCDF757ZOU0
- **Gallery:** https://cerebralvalley.ai/e/openai-gpt-6-astra-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openai-gpt-6-astra-sf/hackathon/gallery/48

Delphi is the "Cursor of productivity work" with a auto-maintained knowledge base, which can evolve as user reads, compare docs, chats with agents, and enables auto-research via MCP to Codex (e.g. to reproduce a research paper). 

Different from coding, which is the intermediate output to a final software, "understanding" of a concept is not a process that can be proxied to AI. Delphi reduces the cognitive overhead of reading and comparison literature, letting user to focus on "what truly matters for understanding". We allows ask-in-context feature, comparison between any webpages and docs, all while organically growing a knowledge base for users.

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Markdown version of https://cerebralvalley.ai/e/openai-gpt-6-astra-sf/hackathon/gallery/48. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt