7 repos
AI Integration Protocols — Artificial Intelligence & Machine Learning
We curate 7 GitHub repositories matching artificial intelligence & machine learning · AI Integration Protocols. Refine with filters or upvote what's useful.
AI Integration Protocols — Artificial Intelligence & Machine Learning
- openclaw/openclaw
Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent mem
TypeScriptaiassistantcrustacean - f/prompts.chat
Prompts.chat is a community-driven repository and management platform for AI prompts and agent skills. It provides a centralized interface for users to search, retrieve, and save prompts, while offering structured storage for multi-file agent skills that include documentation and supporting assets. The platform distin
HTMLaiartificial-intelligenceawesome-list - ant-design/ant-design
Ant Design is an enterprise-grade component library and design system framework built for developing complex, data-heavy web applications. It provides a comprehensive collection of pre-built, state-driven interface elements that map data properties to rendered components, ensuring consistent interaction patterns and vi
TypeScriptant-designantddesign-systems - Shubhamsaboo/awesome-llm-apps
This repository serves as a comprehensive collection of resources, templates, and starter code for building artificial intelligence applications. It provides a centralized hub for developers to access practical implementations of common workflows, including retrieval-augmented generation pipelines and autonomous agent
Pythonagentsllmspython - punkpeye/awesome-mcp-servers
This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosy
aimcp - modelcontextprotocol/servers
The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service envir
TypeScript - lobehub/lobehub
LobeHub is a comprehensive multi-agent orchestration platform designed for building, configuring, and deploying specialized AI agents. It provides a unified chat-based gateway that allows users to manage autonomous agent teams across web, desktop, and mobile environments. By utilizing a framework that supports persiste
TypeScriptagentagent-collaborationagent-harness