Enterprise & Workflow

Official A2A python sample agent: Adk Expense Reimbursement

The .NET library to build AI agents with 30+ built-in connectors.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

.NET Agents technologies (Microsoft Agent Framework, MCP, A2A, AG-UI)

A collection of Summoner clients and agents featuring example implementations and reusable templates

This is a library for implementing an Agent2Agent (A2A) server using Google Apps Script. This enables AI agent communication and secure service access for AI-powered workflows.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go

General-purpose enterprise orchestrator on Google ADK + Vertex AI Agent Engine. Multi-agent system with risk tiers (R0-R4), policy gates, evidence bundles, and Mission Spec v1 workflows.

🚀 The Rosetta Stone for Agentic Payments - One vending machine, 5+ protocol implementations. Get from zero to working agentic payments in 5 minutes.

The core of `aipflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types. The core is **pure orchestration** with no LLM dependencies - CrewAI support is optional.

An example implementation of a financial AI Agent built with Agentforce and made accessible through the A2A protocol. The Heroku backend provides A2A protocol support, and the agent uses Heroku AppLink to perform API invocations.

Agentic Workflows

This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

A2A agent server specialized in generating and automating n8n workflows

A2A protocol integration leveraging dynamic Semantic Kernel functions and an Agent Card Repository for adaptive workflows.

An agentic AI assistant, that is helping users with math queries to solve and explain them to the user.

A distributed multi-agent system that orchestrates complex tasks across specialized AI agents using A2A (Agent-to-Agent) protocol, MCP (Model Context Protocol) and LangGraph.

This sample demonstrates a conversational agent built with LlamaIndex Workflows and exposed through the A2A protocol. It showcases file upload and parsing, conversational interactions with support for multi-turn dialogue, streaming responses/updates, and in-line citations.

Production-ready A2A Protocol Server with dual protocol support (HTTP REST + JSON-RPC 2.0). Built on SceneGraphManager v2.0.0 for JSON-driven AI workflow orchestration with LangGraph.

Development with Agentic tools like ADK, MCP, A2A for creating agentic workflows.

An AI agent specialized in project planning, task management, strategic planning, and workflow optimization

A registry website for hosting the a2a agents that were built using the Inference Gateway ADK

A lawyer for the agent economy. AI agents can request contract review, risk analysis, and legal guidance via A2A protocol.

🔐 Streamline A2A authentication with Traylinx Auth Client for Node.js; enjoy secure token management and seamless integration for enterprise-level security.

Enterprise-grade Python authentication client for Traylinx Sentinel API with full A2A Protocol support