I started this project a while ago with a simple idea: build a personal AI assistant that I could talk to, that would remember our conversations, and that would never send my data to a third party. I named it Korvin. It now runs on a $5 VPS, answers me through Telegram voice messages, and … Read more
DSPy replaces hand-written prompts with compiled programs that optimize themselves.
Installed Langflow Desktop, built an RFP analyzer by connecting four visual nodes, and called it via API.
Why we removed Docker sandboxing from KORVIN before this series ended, what that decision revealed about building an open-source AI tools, and what KORVIN actually does today.
AI agent that reads sensor data across three building zones, makes HVAC decisions in pure Python, and writes facility reports.
Building a planning agent that breaks any business goal into a dependency-ordered task sequence using a DAG and topological sort.
Python client that connects to a self-hosted AnythingLLM instance, giving it private document intelligence without sending data to the cloud.
Building an agent that runs real statistical analysis in Python before the AI sees a single number.
Building multi-role marketing agent that enforces brand rules automatically, rejecting non-compliant drafts and retrying until the output passes.
Rebuild the three core pillars of the Phidata agent framework from scratch in pure Python. Memory, knowledge, and tools working together.
