michaelprosario/hivemind: A light-weight agentic framework for small language models. from GitHub
HiveMind is a lightweight framework designed for building multi-agent systems specifically optimized for small language models. It simplifies the creation of agentic workflows that can be executed locally using tools like Ollama. The project aims to provide an accessible way for developers to experiment with agent coordination without requiring massive computational resources. Through simple code structures, users can define specialized agents and tasks to automate complex problem-solving interactions.
[Build a Model Context Protocol (MCP) server in C#] – Code Lab (https://devblogs.microsoft.com/dotnet/build-a-model-context-protocol-mcp-server-in-csharp/)
Model Context Protocol Index
The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI models. It provides a universal interface that replaces fragmented integrations with a single, standardized protocol for connecting tools and datasets. By using MCP, AI applications can more easily access local and remote resources such as files, databases, and APIs. This architecture simplifies the process of building agentic workflows and ensures that AI models have the real-world context they need to be effective.
GitHub – microsoft/mcp: Model Context Protocol (MCP)
The Model Context Protocol (MCP) is an open standard designed to enable seamless integration between AI models and diverse data sources. Created by Microsoft, it provides a universal way for developers to connect LLMs to their data without needing custom integrations for every individual tool. This protocol simplifies the architecture for AI applications by offering a secure, standardized communication layer for context sharing. By implementing MCP, developers can ensure their AI models have reliable access to the most relevant information across different platforms.
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