Synet Protocol Language (SPL)
Overview
The Synet Protocol Language (SPL) is a structured, JSON-based communication protocol designed for agent-to-agent interactions within the Synet ecosystem. It facilitates clear, secure, and interoperable exchanges between autonomous agents, services, and gateways.
Motivation
In the evolving landscape of AI and autonomous systems, the need for a standardized communication protocol is paramount. While existing protocols like Google's Agent-to-Agent (A2A) protocol offer solutions for agent communication, SPL is tailored specifically for the Synet environment, emphasizing:
- Simplicity: Easy to implement and understand.
- Security: Built-in mechanisms for authentication and authorization.
- Flexibility: Adaptable to various use cases within Synet.
- Transparency: Open and community-driven development.
Key Features
- Structured Messaging: Utilizes JSON for clear and consistent message formatting.
- Task Management: Defines tasks with unique identifiers, statuses, and results.
- Agent Discovery: Mechanisms for agents to discover and interact with each other.
- Capability Advertisement: Agents can advertise their capabilities for dynamic collaboration.
- Security: Incorporates authentication and authorization protocols to ensure secure communication.
Comparison: SPL vs. A2A
| Feature |
SPL |
A2A |
| Target Environment |
Synet-specific applications |
General AI agent communication |
| Message Format |
JSON |
JSON-RPC over HTTP |
| Task Lifecycle |
Defined with statuses and results |
Includes task states and artifacts |
| Agent Discovery |
Built-in mechanisms |
Utilizes Agent Cards |
| Security |
Integrated authentication and authorization |
Enterprise-grade security features |
| Flexibility |
High, with Synet-specific adaptations |
Designed for broad interoperability |
| Extendable |
Flexible, open-source plugin system |
Rigid, vendor lock-in |
Why not just use Google's A2A?
| A2A Offers |
Synet Needs |
| Corporate-controlled spec (likely IP risks, evolving under Google terms). |
Open, decentralized, open-source governance. |
| Focused on web agent coordination. |
Designed forindependent AI economic systems (payments, flows, policies). |
| Heavy JSON-LD, possible complexity. |
Slim, semantic, efficient — optimized for small, modular agents. |
| Might evolve into web-crawler-centric model. |
Needsfull service lifecycle (invoicing, storage, policies) across agents. |
Use Cases
- Agent Collaboration: Facilitates coordinated actions between multiple agents.
- Service Integration: Enables seamless integration between services within Synet.
- Task Delegation: Allows agents to delegate tasks and receive results asynchronously.
- Capability Sharing: Agents can share and discover capabilities dynamically.
Getting Started
To implement SPL in your Synet application:
- Define Agent Capabilities: Specify what your agent can do.
- Implement Message Handlers: Set up handlers for incoming SPL messages.
- Establish Communication Channels: Use SPL's discovery mechanisms to find and connect with other agents.
- Secure Communication: Implement SPL's security protocols to ensure safe interactions.
Future Developments
- Enhanced Security: Integration with Synet's root authority for improved authentication.
- Extended Task Management: More detailed task states and error handling.
- Community Contributions: Open to suggestions and improvements from the Synet community.
Join Development
Developer Portal
Join Architects
SPL GitHub Repository
Thoughts, Ideas, Cringe ?
Leave Message