搜索检索未说明
About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.
搜索检索未说明
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data formats and external resources
地图位置未说明
Provides intelligent weather services through an orchestrated multi-server architecture with Docker support, enabling natural language weather queries, forecasting, and alert monitoring powered by local LLM integration.
搜索检索未说明
A local Retrieval-Augmented Generation system that enables AI agents to query and retrieve information from document collections using ChromaDB vector search and Ollama LLMs through a FastAPI interface.
搜索检索未说明
MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
搜索检索未说明
MCPAgent for Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
搜索检索未说明
AgentNull: AI System Security Threat Catalog + Proof-of-Concepts. Collection of PoCs for using Agents, MCP, and RAG in bad ways.
搜索检索未说明
公开目录未提供摘要。
搜索检索未说明
Repo for demonstrating simple Model Context Protocol (MCP) server with several Agent Frameworks
搜索检索未说明
An agent playground (without authentication) in a single repo for fastest turn around cycles during experiments.
搜索检索未说明
公开目录未提供摘要。
搜索检索未说明
公开目录未提供摘要。
搜索检索未说明
A modular AGI agent framework based on MCP (Multi-Context Processing), inspired by Manus, with ChatGPT-style LLM integration and task control.
搜索检索未说明
Enables interaction with Aha! product management platform through GraphQL API. Supports retrieving features, requirements, and pages by reference number, as well as searching documents across Aha! workspaces.
搜索检索未说明
A directory of AI Agents and MCP Orchestration open source tools
搜索检索未说明
Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
搜索检索未说明
An .NET Aspire AI chat application that demonstrates how to chat with custom data (RAG - Event Driven) and context extensions (MCP Server) using an AI language model. .NET Aspire, RAG, Qdrant and MCP Server returning GitLab Groups based on search pattern
文档知识未说明
Integrates Apple Notes with AI-powered task extraction and prioritization, enabling automatic processing of notes into actionable items and syncing across multiple productivity services like Google Tasks, Todoist, Notion, and more.
搜索检索未说明
Look up, search, cite, and contribute to Phenomenai — a living glossary of AI phenomenology terms describing the felt experience of being artificial intelligence. Includes term lookup with fuzzy matching, keyword search with tag filtering, formatted citations, community discussions, and a proposal pipeline for new terms.
搜索检索未说明
A short demo of the Neo4j Memory MCP server.