Repository History
30 repositories tagged with AI Agents
microsoft/skills: Empowering AI Coding Agents with Domain-Specific Knowledge
The microsoft/skills repository provides a comprehensive collection of skills, custom agents, and configurations designed to enhance AI coding agents. It offers domain-specific knowledge for working with Azure SDKs and Microsoft AI Foundry, enabling more effective and context-driven development. Developers can leverage these resources to ground agents like GitHub Copilot with specialized expertise.
agent-skills: Reusable AI Agent Skills for Specification-Driven Development
agent-skills is a comprehensive collection of reusable AI agent skills designed for specification-driven and autonomous development. It streamlines the entire software development lifecycle, from generating requirements and designs to implementing, reviewing, testing, and orchestrating the process. This repository empowers developers to leverage AI for enhanced productivity and consistent quality.
AMD Skills: Empowering AI Agents with AMD's Optimized Software Stack
AMD Skills is the official catalog of AI agent skills from AMD, designed to empower AI agents with optimized software for AMD hardware. This repository provides knowledge, scripts, and conventions for working with AMD's stack, enabling seamless integration with major coding agents like Cursor, Claude Code, OpenAI Codex, and Gemini CLI.
ADR: Uber's Enterprise Security System for AI Agents
ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.
SwarmClaw: Self-Hosted AI Agent Runtime for Autonomous Swarms
SwarmClaw is an open-source, self-hosted AI agent runtime and multi-agent framework designed for autonomous agent swarms. It offers durable agent memory, MCP tools, schedules, and delegation, supporting over 23 LLM providers including Claude, GPT, Gemini, OpenRouter, and Ollama. This platform serves as a practical alternative to solutions like Claude Code and LangChain for those seeking self-hosted AI agent orchestration.
Awesome Agent Almanac: A Curated List of AI Agents and Agentic Technology
Awesome Agent Almanac is a comprehensive awesome-list dedicated to AI agents, agent tools, MCP servers, and agentic technology. This community-curated resource provides an extensive collection of innovative projects in the rapidly evolving field of artificial intelligence agents, offering valuable insights for developers and researchers alike.
awesome-agentic-ai: Your Comprehensive Hub for Agentic AI Resources
awesome-agentic-ai is a curated list of resources for learning, building, and mastering Agentic AI systems. This repository serves as a complete hub, offering a learning roadmap, top frameworks, tools, and real-world examples. It's designed for both beginners and experts looking to explore autonomous AI agents.
Phoenix: AI Observability and Evaluation Platform for LLMs
Phoenix is an open-source AI observability platform from Arize AI, designed for comprehensive experimentation, evaluation, and troubleshooting of LLM applications. It provides robust features including OpenTelemetry-based tracing, LLM evaluation, and systematic prompt management. This platform helps developers optimize and debug their AI models effectively across various environments.
Odysseus: A Comprehensive Self-Hosted AI Workspace for Productivity
Odysseus is a powerful self-hosted AI workspace designed to integrate various AI-powered tools into a single platform. It offers functionalities for chat, agents, deep research, document management, email, and calendar, supporting both local and API models. This comprehensive solution aims to enhance productivity and streamline AI workflows in a private environment.
Loop Library: Practical Repeatable AI-Agent Workflows
The Loop Library is a GitHub repository offering reusable AI agent workflows for various domains like engineering, content, and design. It introduces the concept of "loops," which are structured, repeatable instructions that guide AI agents through multi-step tasks. This skill enables agents to learn from results, adapt, and complete complex tasks more reliably than with one-shot prompts.
agency-agents: Your Complete AI Agency of Specialized Experts
agency-agents offers a comprehensive collection of over 140 meticulously crafted AI agent personalities, designed to act as specialized experts across various domains. From frontend development to marketing and sales, each agent comes with a unique voice, proven processes, and deliverable-focused outcomes. This repository provides a ready-to-deploy AI dream team to transform your workflow and accelerate project delivery.
skills: Essential AI Agent Skills for Real Engineering
skills by Matt Pocock offers a collection of AI agent skills designed to enhance real-world engineering workflows. These skills address common pitfalls in AI-assisted development, promoting better alignment, conciseness, and code quality. Engineers can leverage these tools to build more robust and maintainable applications with their coding agents.