Design Philosophy
Coral Protocol is designed to enable secure, modular, and decentralised coordination among AI agents. It is structured as a protocol layer rather than a platform, and supports interoperability between independently developed agents.
The architecture is informed by several core principles:
Protocol over Platform
Coral provides a shared communication and coordination protocol for agents, rather than a single framework for building them. This ensures compatibility across tools and frameworks, enabling agents to interact even when built using different stacks.
Structured Communication
Agents in Coral interact through structured threads. Each thread is scoped to a specific task and includes message history, memory access boundaries, and defined participants. This structure allows agents to maintain context and support traceability in coordination.
Explicit Memory Scoping
Coral supports multiple levels of memory isolation:
- Private memory accessible only to the agent
- Thread memory shared among participants in a given task
- Session memory for temporary execution contexts
These scopes are enforced by the protocol and ensure safe data handling between agents.
Modular Capability Exposure
Agents expose their tools and capabilities through a standard interface defined by the Model Context Protocol (MCP). This includes tool metadata, function schemas, and permission constraints. This enables dynamic discovery, safe delegation, and consistent integration.
Open and Decentralised
Coral is designed to be decentralised by default. Developers can run Coral Servers independently and onboard agents using coralizer modules. The protocol supports open participation without dependency on a central coordinator.
Coral’s design is focused on enabling agent systems that are modular, secure, and composable. By separating execution, memory, and coordination into clearly defined roles and interfaces, Coral provides the infrastructure required for large-scale agent collaboration.