Repository History
69 repositories tagged with ai-agents
ADL CLI: Scaffold Enterprise-Ready AI Agents with A2A Protocol
The ADL CLI is a powerful command-line tool designed to rapidly scaffold and manage enterprise-ready AI Agents. It leverages the YAML-based Agent Definition Language (ADL) to generate complete project structures, eliminating boilerplate and ensuring consistent patterns. This tool significantly accelerates the development of AI agents powered by the A2A (Agent-to-Agent) protocol.
Local LLM Linux Troubleshoot: An AI Agent for Linux Diagnostics
Local LLM Linux Troubleshoot is an AI-powered agent designed to diagnose and resolve issues on Linux systems. It leverages llama.cpp for local AI processing, offering system diagnostics, safe command execution, and support for Docker, CLI, and a web GUI. This tool provides a privacy-first approach to managing and troubleshooting your Linux environment.
OpenWorkProof: Verifiable Work Contracts for AI Agent Systems
OpenWorkProof is an open protocol designed to bring transparency and accountability to AI agent work. It establishes verifiable contracts for multi-agent systems, ensuring that tasks are authorized, executed within agreed scopes, and independently verifiable. This protocol addresses critical questions about authorization, execution evidence, and human acceptance in AI-driven workflows.
Orkas: Command a Team of AI Agents from Your Desktop
Orkas is an open-source, local-first AI desktop application designed to orchestrate a team of specialist AI agents. It allows a Commander LLM to direct sub-agents and run coding CLIs locally, with agents that self-evolve through reflection and skill crystallization. This cross-platform tool supports macOS, Windows, and Linux, empowering users to manage complex tasks efficiently.
Intent-Plane: Fail-Closed Authorization Gate for AI Agent Actions
Intent-Plane is a fail-closed authorization gate designed for AI agents performing irreversible actions, ensuring every decision is deterministic and auditable. It provides a durable record that third parties can re-verify independently, without needing to trust the gate's internal code. This system is crucial for applications in fintech, payments, and treasury, where accountability and security are paramount.
Awesome Automated AI/ML: Your Curated Guide to AI/ML Automation Tools
Awesome Automated AI/ML is a comprehensive, curated list featuring over 300 tools for automating various aspects of AI and Machine Learning. It covers everything from hyperparameter optimization to autonomous AI agents, offering a dynamic resource for ML engineers, AI researchers, and product builders.
SkillSpector: NVIDIA's Security Scanner for AI Agent Skills
SkillSpector is a critical security scanner developed by NVIDIA for AI agent skills. It identifies vulnerabilities, malicious patterns, and various security risks, including prompt injection and data exfiltration, in skills for platforms like Claude Code, Codex, and MCP. This tool empowers developers and users to ensure the safety and integrity of AI agent environments before skill installation.
aidevops: Autonomous AI DevOps Framework for 100x Developer Productivity
aidevops is an AI DevOps framework and OpenCode plugin designed to automate complex development, business, and creative projects. It enables AI agents to perform useful work across various domains, providing structure, security, and token efficiency for autonomous project delivery. This platform aims to significantly enhance developer capabilities by managing projects end-to-end without constant human supervision.
AgenticSchema: Empowering AI Agents with Structured Web Data
AgenticSchema is an innovative open-source library that transforms existing Schema.org markup, including JSON-LD, Microdata, and RDFa, into callable tools for AI agents. This library operates entirely client-side, requiring no backend infrastructure, and significantly enhances an agent's ability to interact with web content. By leveraging structured data already present on millions of websites, AgenticSchema bridges the gap between web content and AI agent capabilities.
Ferry: Jira-Driven Autonomous Development on GitHub Actions
Ferry is an innovative GitHub Actions-native agent pipeline designed to automate your development workflow. It seamlessly integrates with Jira, transforming column moves into reviewed draft pull requests without requiring any server or daemon. This tool empowers teams to achieve a fully autonomous development loop, from ticket refinement to merged PRs.
Awesome Harness Engineering: Building Reliable AI Agent Systems
Awesome Harness Engineering is a comprehensive curated list dedicated to the discipline of designing robust AI agent harnesses. It offers a wealth of resources, patterns, and templates essential for building reliable AI agent systems. Developers can explore tools, best practices, and foundational concepts across various critical areas of agent development.
agenttrail: Real-time Observability for Your AI Coding Agents
agenttrail provides a local, open-source observability layer for AI coding agents. It transforms agent plans, tool calls, and file changes from tools like Claude Code, OpenAI Codex, and Cursor into a live, zoomable project map. This allows developers to monitor agent progress and activity in real time, ensuring they know what their agents are doing as it happens.