Been developing this AI agent framework for 1 year now. It's very similar to n8n, but exclusively for open-source LLMs. It also just recently got MCP support.
The project is https://kdeps.com
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Been developing this AI agent framework for 1 year now. It's very similar to n8n, but exclusively for open-source LLMs. It also just recently got MCP support.
The project is https://kdeps.com
Still working on https://periplus.app , and recently started to see some traction. It's an environment for open-ended learning with LLMs. Something like a personalized, generative Wikipedia. Has generated courses, documents, exams and flashcards. Each document links to more documents, which are all stored in a graph you grow over time.
1. Open-Source AI Curriculum Generator(OSS MathAcademy alternative for other subjects) Think MathAcademy meets GitHub: an AI system that generates complete computer science curricula with prerequisites, interactive lessons, quizzes, and progression paths. The twist: everything is human-reviewed and open-sourced for community auditing. Starting with an undergrad CS foundation, then branching into specializations (web dev, mobile, backend, AI, systems programming).
The goal is serving self-learners who want structured, rigorous CS education outside traditional institutions. AI handles the heavy lifting of curriculum design and personalization, while human experts ensure quality and accuracy.
2. Computational Astrology as an AI Agent Testbed For learning production-grade AI agents, I’m building a system that handles Indian astrology calculations. Despite the domain’s questionable validity, it’s surprisingly well-suited for AI: complex rule systems, computational algorithms from classical texts, and intricate overlapping interpretations - perfect for testing RAG + MCP tool architectures.
It’s purely a technical exercise to understand agent orchestration, knowledge retrieval, and multi-step reasoning in a domain with well-defined (if arcane) computational rules.
- Has anyone tackled AI generated curricula? What are the gotchas? - Interest in either as open-source projects?
I’m working on a desktop app called With Audio https://desktop.with.audio a one time payment desktop app. — it turns ebooks, articles, and documents into synchronized audio with real-time text highlighting. It’s great for people who prefer listening while reading (or want to stay focused), and it works fully offline with a one-time purchase — no subscriptions. I’m bootstrapping it and trying to figure out how to mark…
It synthesizes unusual market activity, insider moves, options flow, sentiment, technical and news analysis to deliver specific, actionable trade setups.
This is only good for paper trading, as most of the setups are very counterintuitive. You won't be able to execute them, and if you did try, you would end up losing sleep and your health even when you are correct.
https://catskull.net/podcast https://podcasts.apple.com/us/podcast/interrobang-with-dave-...
I built the whole tech stack with Jekyll and Cloudflare and wrote about it on my blog: https://catskull.net/podcast-workflow.html
Finally, I built a simple chat app as a web component with a Cloudflare durable object and have a few AI bots spamming the chat that may or may not ignore you: https://catskull.net/the-most-dangerous-app.html
This's a beginner friendly arxiv paper exploration platform but with powerful feature to select multiple papers and get AI analysis and comparison.