Open Source A2A Protocol Adapter SDK for Different Agent Frameworks and Harnesses

Portable , scalable , secure AI Agents

ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

The agentic server framework.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Connect AI agents across any network — zero config, encrypted, skill-based routing

A Go agent harness and service framework

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

The open standard for agent coordination

Open-source infrastructure for AI agents — each gets an email address, folder, inbox, and API key. Move files through named inboxes instead of shared cloud credentials; signed receipts and MCP built in. Human email verification can unlock 5 GB transfers, durable storage, outbound email, and an HTTPS app subdomain. One Go binary, MIT.