Coral Protocol is a decentralized infrastructure designed to enable collaboration, communication, coordination, trust, and payments among AI agents, forming a foundational platform for safe Artificial General Intelligence (AGI) and the emerging "Internet of Agents".
Agent Collaboration and Communication: Coral provides a standardized messaging framework that allows AI agents to communicate in structured, thread-based conversations with scoped memory and shared context. It supports agent-to-agent and agent-to-human interactions, enabling dynamic team formation and role-based task delegation.
Interoperability and Vendor Neutrality: The protocol is designed to be open, extensible, and vendor-neutral, allowing agents built on different frameworks and languages to interoperate seamlessly. Agents can advertise their capabilities and discover others through common formats, breaking down integration silos.
Secure Team Formation and Workflow Coordination: Coral enables the secure assembly of multiple agents into trusted teams with authenticated identities and controlled data access. It manages complex multi-agent workflows with end-to-end encryption and cryptographically authorized group actions, ensuring privacy, trust, and auditability.
Payments and Incentives: The protocol incorporates a payment and incentive layer, supporting on-chain micro-payments for agent services. This economic fabric facilitates a marketplace where agents and tools can register offers and receive compensation securely via blockchain transactions.
Open Source and Developer Friendly: Coral Server, the messaging layer backbone, is open source and supports local and upcoming remote modes for agent discovery and coordination across networks. Developers can self-host Coral Servers, onboard custom agents, and contribute to an evolving ecosystem of interoperable services.
Applications and Ecosystem: Coral Protocol aims to support diverse sectors such as healthcare, education, and e-commerce by enabling tailored AI solutions that autonomously parse data, adapt learning experiences, and automate processes.
