Repository History
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Awesome-skills: Community-Driven Apify Agent Skills for AI Coding Assistants
Awesome-skills is a community-driven collection of Apify agent skills designed for AI coding assistants. This repository allows AI agents to perform specific tasks using Apify Actors, following an open standard. It provides a rich set of pre-built skills to enhance AI agent capabilities, enabling them to interact with the web and automate complex workflows.
Open Interpreter: A Rust-Based Coding Agent for Low-Cost Models
Open Interpreter is a powerful coding agent written in Rust, specifically optimized for performance with low-cost models like Kimi K3. It provides a Codex-like interface, enabling users to interact with various models and harnesses for efficient code generation and execution. This project emphasizes portability and compatibility with existing agent setups and standards.
dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies
The `dify-official-plugins` repository hosts a collection of official plugins for Dify, an open-source platform for developing LLM-powered AI applications. These plugins, including models, tools, agent strategies, and extensions, enhance Dify's capabilities and are maintained by the official Dify team. They are designed to help developers efficiently build, deploy, and manage AI-driven solutions.
awesome-ai-agents: A Curated List of AI Agent Resources
awesome-ai-agents is a comprehensive, curated list of resources for building and understanding AI agents. It covers frameworks, tools, platforms, research papers, and more, making it an essential guide for anyone exploring the rapidly evolving field of autonomous AI systems.
Agent Skills: A Standardized Way to Give AI Agents New Capabilities
Agent Skills provides a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows. It allows packaging procedural knowledge and context into portable, version-controlled folders that agents load on demand. This enables agents to gain domain expertise, follow repeatable workflows, and reuse skills across various compatible AI tools.
Google Skills: Agent Skills for Google Products and Technologies
The `google/skills` repository offers a comprehensive collection of Agent Skills designed for Google products and technologies, including Google Cloud. It enables developers to easily integrate and leverage pre-built functionalities for various tasks, from infrastructure management to advanced AI/ML solutions. This resource streamlines the development of agentic applications within the Google ecosystem, providing a robust foundation for innovation.
agent-skills: HashiCorp Agent Skills and Claude Code Plugins
The `agent-skills` repository from HashiCorp offers a valuable collection of Agent skills and Claude Code plugins, specifically designed for HashiCorp products like Terraform and Packer. It empowers developers to integrate AI assistant capabilities directly into their infrastructure-as-code workflows. This project aims to streamline operations and enhance productivity by providing pre-built skills for various tasks.
A-MEM: Self-Evolving Memory for Coding Agents
A-MEM is an innovative self-evolving memory system designed for coding agents, organizing knowledge into a dynamic Zettelkasten-style graph. It allows memories to evolve and connect over time, enhancing an agent's ability to recall and utilize information effectively. This system offers both semantic and structural search capabilities for a richer knowledge base.
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.
Agent Sandbox: Secure Local Development for AI Coding Agents
Agent Sandbox provides a robust and secure local development environment specifically designed for collaborating with AI coding agents. It ensures minimal filesystem access, configurable network egress policies, and secure secret injection, protecting your local machine from potentially risky agent operations. This project supports various AI agents and integrates seamlessly with both CLI and popular IDE devcontainer setups.
Agent-Memory: Persistent Memory for AI Coding Agents
Agent-Memory provides persistent memory for AI coding agents, ensuring they remember past interactions and learned patterns across sessions. Built on the iii engine, it eliminates the need for re-explaining context, significantly improving agent efficiency and reducing token usage. This solution integrates seamlessly with various agents, offering a robust memory management system.
AnythingMCP: AI-Empowered Gateway for Custom Claude, ChatGPT, Gemini Connectors
AnythingMCP is a self-hosted, open-source AI-empowered gateway that transforms existing APIs, databases, and MCP servers into custom connectors for leading AI models like Claude, ChatGPT, and Gemini. It enables no-code integration of REST, SOAP, GraphQL, and SQL sources into the Model Context Protocol, featuring robust authentication, access control, and audit logging. The platform also includes over 175 pre-built adapters for common services, simplifying complex integrations.