Agent2Agent Protocol supports AI agents, automated workflows, orchestration, or delegated tasks.
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Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
A scalable general purpose micro-framework for defining dataflows.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
Define rules for communication and cooperation.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
AI-powered email management using Qwen and Model Context Protocol (MCP).
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. opensource.
Place to meet for humans, agents and NPCs with MCP (Model Context Protocol) client/server integration.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.