The google/adk-go repository is a production-grade, open-source Go framework for building, orchestrating, and deploying multi-agent AI systems. It provides a comprehensive set of abstractions including agents, workflows, tool integrations, model backends (Gemini, OpenAI, Apigee), session management, artifact storage, and human-in-the-loop (HITL) support. The architecture centers around a workflow engine that supports graph-based execution with nodes, edges, retry, concurrency, and dynamic branching. It also implements agent-to-agent (A2A) and Model Context Protocol (MCP) for inter-agent communication. The framework is designed to be deployed via REST API, WebSocket, SSE, or as a console application, and includes launchers for Google Cloud Run and Vertex AI Agent Engine. While primarily an application framework, it also includes telemetry and analytics plugins for observability. The codebase is well-structured with extensive unit and integration tests, but some internal packages and experimental features (e.g., OpenAI model adapter) indicate ongoing development and potential for interface drift.
This repository contains the Microsoft 365 Agents SDK and samples for building conversational agents deployable to Microsoft 365 channels (Teams, Copilot Studio, web chat) and custom channels. The SDK is AI-service agnostic, allowing integration of any AI model or service. Samples demonstrate common agent patterns including welcome messages, tool usage (dice roller, inventory, weather lookup), streaming responses, authentication (OBO, auto sign-in), observability (OpenTelemetry), and integrations (Genesys, Slack, Semantic Kernel, LangChain). The architecture follows a consistent pattern across languages: initialize storage, connection manager, adapter, and authorization; instantiate AgentApplication; register event handlers; start server. Entry points vary by language (Program.cs for .NET, src/index.ts for Node.js, src/main.py for Python). External dependencies include Microsoft Graph, GitHub API, Azure OpenAI, and various agent frameworks.