Repository History
111 repositories tagged with ai
dcc-mcp-blender: AI-Driven 3D Workflows with an Embedded MCP Server
dcc-mcp-blender is a powerful Blender addon that integrates an embedded Streamable HTTP MCP server directly into Blender. This allows any MCP-compatible AI client to seamlessly control and automate your 3D modeling, animation, and rendering workflows. It offers over 200 pre-built tools and an extensible skill system for robust production environments.
Guaardvark: Your Self-Hosted AI Studio for Agents, Media, and Code
Guaardvark is a comprehensive, self-hosted AI studio designed for local execution of advanced AI tasks. It integrates coding agents, media generation (video, image, music, voice), and robust RAG capabilities, all running on a single GPU. This platform prioritizes privacy and user control, enabling a full AI workstation experience on your own hardware.
APort Agent Guardrails: Deterministic Pre-Action Authorization for AI Agents
APort Agent Guardrails provides deterministic pre-action authorization for AI agents, running security checks before any tool execution. This crucial mechanism prevents prompt injection from bypassing policy, ensuring robust and auditable protection for AI-driven operations.
aport-spec: The Open Agent Passport (OAP) Specification for AI Agent Trust
The aport-spec repository introduces the Open Agent Passport (OAP) specification, a critical framework for establishing trust in AI agents. It defines a lightweight, cryptographically verifiable credential, enabling real-time, pre-action authorization for AI agents across various platforms. OAP provides the essential runtime trust layer for secure and scalable agentic commerce.
Atlas: Source Control for AI Coding Agents
Atlas is an innovative source control system designed specifically for AI coding agents. It allows developers to manage multiple agents, track their changes, and query their activities in a unified environment. Built in Rust, Atlas ensures that every agent's commit is linked to its session, providing full context including prompts and tool calls.
Goon: Autonomous AI Worker for Software Development and Custom Workflows
Goon is a self-hosted, autonomous AI worker designed to streamline software development and automate custom workflows. Built with Go and having zero dependencies, it operates as a daemon, capable of tasks from writing code and opening PRs to summarizing emails and monitoring logs. It learns from your context and asks for human approval before acting, ensuring controlled and intelligent automation.
cc-polymath: Context-Efficient Skills for Claude Code Development
cc-polymath is an innovative GitHub repository offering a vast collection of atomic skills and workflows specifically designed for Claude Code. It addresses the challenge of providing comprehensive development knowledge without overwhelming the AI's context window. By employing a progressive discovery system, cc-polymath ensures context efficiency and high-quality skill access across a wide range of technical domains.
karpathy-llm-wiki: Build a Karpathy-Style LLM Knowledge Base
karpathy-llm-wiki is an Agent Skills-compatible tool that implements Karpathy's LLM Wiki idea, allowing users to build a durable knowledge base. It enables LLMs to maintain structured wiki pages by ingesting sources, compiling knowledge, and answering questions with citations. This project offers a robust alternative to traditional RAG for compounding knowledge over time.
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.
Context Engineering Kit: Enhance AI Agent Quality with Advanced Skills
The Context Engineering Kit is a powerful collection of hand-crafted Claude Code Skills designed to significantly improve the quality and predictability of AI agent results. It offers advanced context engineering techniques with a minimal token footprint, ensuring efficiency and effectiveness across platforms like OpenCode, Cursor, and Gemini CLI. This kit provides granular control over plugins and includes an open-source alternative to CodeRabbit, enhancing development workflows.
opencode-worktree: Zero-Friction Git Worktrees for AI-Driven Development
opencode-worktree is an OpenCode plugin designed to streamline git worktree management. It automates the creation and deletion of isolated development environments, complete with terminal spawning and file synchronization. This tool is ideal for AI-driven workflows, offering a zero-friction experience for developers who prioritize automation and efficiency.
Agent Factory: Generate AI Agents with Natural Language Descriptions
Agent Factory, developed by Mozilla-AI, is a powerful tool designed to generate AI agents and workflows. It allows users to describe tasks in natural language, which it then transforms into executable Python code for agentic workflows. Leveraging the Model Context Protocol (MCP) and the any-agent library, it simplifies the creation of complex AI solutions.