Stars
Warp is an agentic development environment, born out of the terminal.
Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Maps from the 2022 AND BEYOND research projects
153 field-tested techniques for Claude Code — patterns, architectures, and workflows for developers and AI-native teams
Enterprise Architecture Governance & Vendor Procurement Toolkit
The Security Toolkit for LLM Interactions
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Docker configuration for running VLLM on dual DGX Sparks
A collection of useful AI services for AI sovereignty.
An agentic skills framework & software development methodology that works.
a short description of the installation of Structurizr and its MCP Server.
Hundreds of models & providers. One command to find what runs on your hardware.
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
AISP (AI Symbolic Programming) v5.1 AI first, spec driven development. A proof-carrying protocol LLMs understand natively without instructions or training. Reduces AI decision points from 40-65% to…
OpenSkills: Run Claude Skills Locally using any LLM
plyGO: dplyr-style data pipeline in pure Go with fluent chaining for readable, natural-language code
An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A compilation of resources in the software supply chain security domain, with emphasis on open source