I’m building django-pyturso so Django projects can use the ordinary ORM, migrations, admin, and transactions with an embedded local Turso database. It is a focused Django 6 backend for pyturso, without cloud transports, replication, or compatibility shims.
Building agentic workflows in Django shouldn't require a pile of custom glue. This package wraps the OpenAI Agents SDK with Django-native sessions, runs, and background tasks, so you can kick off multi-step agents and poll status from any UI.
A composable, deterministic-friendly text-generation toolkit. I ported (and expanded) my original Swift Wordsmith library to Python because I needed reliable, seeded procedural name and title generation for other projects.
Releases should not start with a blank page, so I built this GitHub Action to draft release notes from tag diffs using the OpenAI Responses API. It pulls commit messages and focused diff slices into a clean draft you can ship fast.
I built Contract4Agents to make AI agents inspectable before they run. It turns typed .contract files into prompts, manifests, JSON Schemas, eval packs, monitor rules, and visualization artifacts for real agent systems.
If you're simulating NPCs or fictional characters, you need them to feel distinct. This library generates full Big Five personality profiles—complete with life-stage biases and conflict-resolution styles—for storytelling and testing.
Feeding random text to an LLM is easy; building a reliable knowledge base is hard. This tool automates the creation of structured, domain-specific knowledge "compendiums" to ground your AI applications in reality.
Colors are hard. This library makes them easy. It provides a Pythonic API for HSBA colors and includes factory methods for generating harmonious color schemes like split complementary, triadic, and monochromatic palettes.
An experiment in generative storytelling. It takes an image and uses multimodal LLMs to weave a dynamic, unfolding narrative around it, creating a feedback loop between visual and textual creativity.
I wanted HTMX-style ergonomics in desktop apps, so I built this bridge for PyWebview. It lets me wire py-* attributes directly to Python methods and swap HTML responses without custom front-end glue code.
Writing complex prompts shouldn't feel like guessing. I built this to treat prompts like code—structured, modular, and written in markdown, so you can compose and test them with the same rigor as your Python logic.
A solo SaaS reference project I built to explore GitHub App-backed repository intelligence: architecture, ownership, hotspots, expertise, and deployment automation.
A complete AI recruiting workspace I built with Django and Celery. It used explainable AI to match resumes to job descriptions before that was cool.
I rebuilt a simulation I first wrote in 1996 because I wanted to watch emergent behavior in a browser instead of a terminal. It turns a 50x50 world into an evolving robot ecosystem with genes, combat, mating, and dramatic population crashes.
I ported my old nanobot sandbox to HTML-first TypeScript so I could preserve the chaos and make it easier to extend. The neon lab UI lets you track swarm behavior, signals, deposits, and camera movement in real time.
I built this CLI to compile the OpenAI OpenAPI spec into deterministic, AI-friendly HTML blocks before newer OpenAI docs tooling made it obsolete.
Stop re-running your expensive data processing steps every time you change one line of code. This tool intelligently caches intermediate steps in your pipeline, letting you iterate on the end of your workflow instantly.
Need to test an HR system? Generating believable test data is a pain. fakedin uses AI and Faker to hallucinate shockingly realistic résumés and job descriptions that look and feel like the real thing.
A specialized Django application for translating Gurmukhi text to English, focused on preserving the nuances of the original script.
Sometimes you just need to feed your entire codebase into ChatGPT. Coderoller smashes your whole source tree into a single, organized Markdown file so you can drag-and-drop your context in one go.
Before OpenAI had an official Swift library, I built this. It offered a clean, Swifty interface for chat completions, embeddings, and token management.
An experimental system for generating procedural music based on "style genotypes," allowing you to breed songs like digital plants.
A procedural generation engine for creating 2D sci-fi spaceship sprites. Useful for populating game worlds with infinite unique vessels.
Generates those little mechanical details (greebles) that make sci-fi surfaces look complex. A fun exercise in recursive 2D geometry.
A Swift library for modeling and generating aesthetic concepts like color palettes and schemes, making generative art more harmonious.
A tool for procedural text generation—names, places, items. Perfect for when you need a thousand unique names for your RPG NPCs.
A utility belt for Swift Strings. It adds all those missing convenience methods you wish the standard library had for text manipulation.
Simulates human-like personalities using the Big Five (OCEAN) model. Great for giving game characters distinct behavioral traits.
RNG is boring. This library provides sophisticated randomness tools, including Gaussian distributions and probability bags, for more organic procedural generation.