OpenAgentIO

Conversation-Aware Runtime Bus for Distributed AI Agents

Build conversational distributed systems with streaming, events, sessions, and traces.

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OpenAgentIO is a lightweight, bridgeable runtime bus and bridge layer for heterogeneous agent systems.

It maps third-party protocols, tools, and message networks (such as MCP servers, Matrix rooms, and HTTP/SSE streaming endpoints) into one runtime bus model. By translating external protocols into structured Invoke, StreamInvoke, and Publish/Subscribe flows, OpenAgentIO provides cross-process, cross-language agent collaboration with session propagation and OpenTelemetry tracing context.

Note

Developer Preview: OpenAgentIO is under active development. The bridge layer and multi-language SDKs are currently available as an early developer preview (v0.3-alpha).

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What is OpenAgentIO?

Modern AI systems are no longer single agents running inside one process. They are distributed, multi-agent networks containing heterogeneous workers, tools, and platforms.

Yet, most agent frameworks focus on prompting, single-runtime orchestration, or local tool execution. OpenAgentIO serves as a runtime integration layer underneath, normalizing how these components talk, stream, trace, and maintain sessions.

A Bridgeable Integration Layer

OpenAgentIO does not define how your agents talk to the world; it defines how they collaborate internally. It does not replace existing agent standards, but bridges them:

• MCP (Model Context Protocol): MCP defines how applications expose tools and context to LLMs and agents. OpenAgentIO bridges MCP servers, exposing their tools as native Bus Invoke targets.
• Matrix Event Network: Matrix handles decentralized chats and message federation. OpenAgentIO bridges Matrix room messages into pub/sub Bus events, and routes agent outputs back.
• HTTP/SSE Gateways: OpenAgentIO bridges OpenAI-compatible streaming endpoints (like OpenClaw) into unified StreamInvoke lifecycles.

       External Protocols / Platforms (MCP, Matrix, SSE Gateways)
                                    │
                                    ▼  (Bridges)
                         [ OpenAgentIO Bridge Layer ]
                                    │
                                    ▼  (Normalize)
                      [ OpenAgentIO Runtime Bus (Go/Python) ]
         (Invoke / StreamInvoke / Publish / Subscribe / Session / Trace)
                                    │
                                    ▼
       Your Router Agents, Worker Agents, Task Processors, Background Jobs

OpenAgentIO is NOT another Agent Framework

OpenAgentIO solves the communication and observability substrate of the AI runtime stack, rather than agent logic itself.

Agent Frameworks (e.g. LangGraph, CrewAI)	OpenAgentIO (Bridgeable Runtime Bus)
Workflow orchestration & DAGs	Runtime communication substrate
Prompt engineering & Agent logic	Runtime interoperability
Single-process workflow state	Distributed messaging & routing
In-process task pipelines	Cross-runtime collaboration
Tool execution runtimes	Event-driven & streaming bridge layer

Why Conversational Distributed Systems?

Message brokers move bytes between services. Agent systems need more than that.

In a conversational distributed system:

• a conversation may span multiple agents, services, tools, and runtimes
• a single user turn may produce request/reply calls, streaming deltas, pub/sub events, and async task updates
• nested agent calls need to preserve conversational, causal, and observability context
• streaming responses need a clear lifecycle: started, delta, final, or error
• transports should be replaceable without rewriting agent communication semantics

OpenAgentIO provides this layer as a small runtime bus: one message model, one bus API, and transport adapters underneath.

Problem Solved

Distributed Agent Communication Complexity

Category	OpenAgentIO
Positioning	Conversation-Aware Agent Runtime Bus
Focus	Distributed Agent Runtime Communication
Protocols	invoke / stream / pubsub
Solves	Conversational Runtime Coordination
Architecture Layer	East-West Communication
Core Capabilities	Context / Session / Streaming
Message Model	Unified Runtime Messaging
Context Propagation	Conversation / Session / Trace Propagation
Runtime Support	Cross-Runtime Communication
Typical Scenarios	Multi-Agent Runtime

Communication Scenarios Coverage

Scenario	Communication Pattern
⭐️ Request-Reply	Synchronous Invocation
⭐️ Streaming	Streaming Response
⭐️ Pub/Sub	Event-Driven Messaging
⭐️ Parallel Execution	Parallel Invocation
⭐️ Agent Handoff	Context Transfer
⭐️ Async Task	Asynchronous Task Processing
⭐️ Browser/WebAPP Integration	HTTP + SSE Streaming
⭐️ Remote Capability Calling	Agent-to-Agent Function Invocation

Scenario Demo

Installation and More Examples

For details, please refer to OpenAgentIO SDK Examples

Design Philosophy

OpenAgentIO focuses on the communication runtime layer for distributed AI agents.

Rather than building another agent framework, OpenAgentIO focuses on:

• invoke and request-reply semantics
• streaming agent communication
• async task signaling
• pub/sub patterns
• context propagation
• runtime interoperability
• transport-neutral messaging

The goal is to provide a small, explicit, and composable communication substrate for heterogeneous agent systems.

Relationship to A2A

OpenAgentIO is not an alternative to A2A. A2A is an emerging interoperability protocol for agents; OpenAgentIO focuses on the runtime substrate that carries agent communication patterns inside distributed systems. As the A2A ecosystem evolves, OpenAgentIO intends to absorb compatible ideas around:

• task lifecycle semantics
• streaming event models
• interoperability patterns

while keeping the runtime model composable across different transport backends.

Roadmap

Warning

OpenAgentIO is under active development and currently in the 0.3-alpha developer preview stage.

The project is being rapidly refined around runtime communication APIs, bridge integrations, protocol design, and cross-runtime interoperability.

The bridge layer is usable for experimentation and integration demos, but should not yet be treated as a production-ready service mesh or full protocol runtime.

• v0.1: Go runtime, envelope schema, in-memory transport, NATS Core transport, invoke and streaming APIs.
• v0.2.x: HTTP/SSE adapter, Python SDK, session/trace propagation, OpenTelemetry bridge, retry / dead-letter middleware.
• v0.3.x: Developer-preview bridge layer for MCP tools, Matrix events, and HTTP/SSE streaming gateways.
• v0.4.x: Advanced orchestration scenes, control plane foundation.
• v1.0.x: stable runtime message schema, cross-language compatibility, and production deployment guidance.

License

OpenAgentIO is licensed under the Apache License 2.0. See LICENSE for details.