ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The ultimate LLM/AI application development framework in Go.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

David AI is a free and open-source collection of customizable, production-ready UI components built with Tailwind CSS.

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

The foundation layer for agentic intelligence.

oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.

AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.

Local coding agent with neat UI

Implement a Pytorch-like DL library in C++ from scratch, step by step

🤖🌊 aiFlows: The building blocks of your collaborative AI

AI-native SaaS framework that builds full-stack apps using autonomous AI agents

Pure C ONNX runtime with zero dependancies for embedded devices

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.

Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel

##Note: this is really old now, and the janky pseudo methods are probably only working out of sheer coincidence. This was an early experiment in how jargon & combinations of artificial weights in pseudocode can influence LLM behaviour without retraining. This was probably ahead of its time

Master Codex with this Framework file system + Prompt Generator consisting of 32 markdown files that will set such strict constraints and rules for Codex that its output is nearly flawless. Files for: Governance, Execution, Workflow, Standards, Recovery, Design, Validation, Config plus Master Prompt Generator for App and Website Builds!