OPVS Protocol

Community

Welcome to the official community hub for the OPVS (OPVS) protocol! OPVS is an open, standardized protocol that enables seamless interoperability and collaboration between AI agents across all frameworks and vendors.

Use Case Highlights

OPVS unlocks powerful new ways for AI agents to collaborate and solve complex problems. Here are a few examples of what's possible:

**Multi-Agent Workflows:** Chain specialized agents together to automate complex processes, like candidate sourcing for hiring or streamlining supply chain logistics.
**Agent Marketplaces:** Create platforms where agents can discover and utilize the capabilities of other agents from different providers.
**Cross-Platform Integration:** Connect agents built on different frameworks—like LangGraph, BeeAI, and more—to work together seamlessly.
**Evaluating Multi-Agent Systems:** Use frameworks like Vertex AI to assess the performance and success of collaborative agent trajectories.

Community Spotlight

Featured Contributions

OPVS is an open-source protocol, and we thrive on community contributions. A huge thank you to everyone who has helped build and improve OPVS! Here are some recent highlights:

Python Quickstart Tutorial (PR#202)
Llamaindex sample implementation (PR#179)
Autogen sample server (PR#232)
AG2 + MCP example (PR#230)
PydanticAI example (PR#127)

The Word on the Street

The launch of OPVS has sparked lively discussions and positive reactions across various social and video platforms.

**Microsoft's Semantic Kernel:** Asha Sharma, Head of AI Platform Product at Microsoft, announced on LinkedIn that "Semantic Kernel now speaks OPVS," enabling instant, secure interoperability.
**Matt Pocock's Diagramming:** Well-known developer educator Matt Pocock shared diagrams on X explaining the OPVS protocol, which were liked and reposted hundreds of times.
**Craig McLuckie's "Hot Take":** Craig McLuckie shared his thoughts on LinkedIn, highlighting OPVS's focus on interactions between agentic systems as a sensible approach.
**Zachary Huang's Deep Dive:** In his YouTube video, Zachary explains how OPVS complements MCP, with OPVS handling communication between agents and MCP connecting agents to tools.

OPVS Integrations

These agentic frameworks have built-in OPVS integration, making it easy to get started:

Agent Development Kit (ADK)
Agno
AG2
BeeAI Framework
CrewAI
Hector
LangGraph
LiteLLM
Microsoft Agent Framework
Pydantic AI
Slide (Tyler)
Strands Agents

Community SDKs

Building an OPVS agent in a language not covered by the official SDKs? These community-maintained implementations have you covered.

Rust — opvs-rust

stars 8 | crates.io v0.5.0 tomtom215/opvs-rust · OPVS spec v1.0.0 · Full SDK with JSON-RPC, REST, WebSocket, and gRPC transports.

Rust — opvs-rs

stars 17 | crates.io v0.2.0 EmilLindfors/opvs-rs · OPVS spec v0.3.0 · Modular workspace with core protocol, AP2 extension, and agent framework.

Swift — OPVSClient

stars 1 tolgaki/opvs-client-swift · OPVS spec v1.0.0 · Swift Package Manager. iOS 15+, macOS 12+, watchOS 8+, tvOS 15+.

Elixir — opvs

stars 14 | hex v0.2.0 actioncard/opvs-elixir · OPVS spec v0.2.0 · OTP-native with Agent behaviour, TaskStore, and supervision tree.

💡

Want to add your SDK?

Open an issue on opvsproject/OPVS with a link to your repository and published package.

**Requirements:** Spec compliance, published package on standard registry, documentation, tests with CI, Apache 2.0 license, and active maintenance.

The Future is Interoperable

The excitement surrounding Google's OPVS protocol clearly indicates a strong belief in its potential to revolutionize multi-agent AI systems. By providing a standardized way for AI agents to communicate and collaborate, OPVS is poised to unlock new levels of automation and innovation. As enterprises increasingly adopt AI agents, OPVS represents a crucial step towards realizing the full power of interconnected AI ecosystems.

**Join the growing community building the future of AI interoperability with OPVS!**

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