Lists (17)
Starred repositories
"We can wander through the stacks of the Library of Alexandria, imagining the scrolls and the knowledge they contain. Its destruction is a warning: all we have is transient.”--Alberto Manguel
Write HTML. Render video. Built for agents.
lightweight system-level observability for AI Agents
AI-powered interactive 3D model generation, inspection, and presentation studio.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
Skills for Real Engineers. Straight from my .agents directory.
Spec for an infinite drill-down illustrated explainer — type a topic, click anywhere on the image to generate the next page.
Elixir-native framework for building runtime AI agents
A sandboxed POSIX shell with a concurrent JSON-line RPC mode
Claude Code & Codex Scala Skills: generate direct-style applications with use-case driven guides
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.
JSE (JSON Structural Expression) is a JSON-based representation format for encoding structured, composable, and evaluable expressions to enable logical transmission between computational systems.
⛰️A General Hill-climbing AI harness that helps you move from Current State to Ideal State in both Life and Work.
FastAPI Best Practices and Conventions we used at our startup
Collect, aggregate, and visualize a data ecosystem's metadata
AI-generated presentation slides. Methodology and templates for narrative-based presentations
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
A curated list of TUI apps and libraries built with Ratatui
The Future of Data Engineering — A CLI SQL client for the modern data stack, enabling AI-native context engineering for data.
A Rust crate for beautiful, artisanally crafted CLIs, TUIs, and text-based IO.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.