Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

Multi-agent systems, memory, planning, reasoning loops

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

My personal dotfiles: Zsh, Git, VSCode, Obsidian, Ghostty, cmux, etc.

Give you decision-ready references for the most common AI engineering problems

Repo for GitHub Copilot Dev Days content, global in-person series of events focused on GitHub Copilot.

An AI-assisted coding agent that runs in your terminal and supports many providers and models.

The older sister of Claude Code - useful for learning harness engineering

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.

Declarative framework to build LLM-based applications

🔥 🔥 Alternative to JSON 🔥 🔥

Muse Studio is an Agentic AI workspace for planning, visualizing, and iterating on stories and video creation.

Ship 10x faster by running multiple Claude Code sub agents in parallel. GitHub-native orchestration for AI coding agents—no conflicts, no complexity, just pure parallelized productivity.

Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.

Open Source Agentic Coding Harness

Agentic AI platform with pixel agent technology — autonomous code generation, PR automation & multi-tenant SaaS

A locally compiled runtime for governed domain-agnostic agent graphs.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

Agent Git: Agent Version Control, Open-Branching, and Reinforcement Learning MDP for Agentic AI. A Standalone Agentic AI Infrastructure Layer for LangGraph Ecosystems