Symplex Protocol – semantic intent vectors for AI agent communication (Go, v0.1) (github.com)

The Symplex Protocol has been introduced as a groundbreaking semantic interoperability layer that facilitates communication between AI agents through semantic intent vectors instead of traditional schema-bound formats like JSON. This new approach allows AI agents to convey their goals as compact float32 embeddings in a shared latent space, enabling spontaneous negotiations and collaborations without the necessity for predefined APIs. The protocol supports dynamic discovery with a TTL-based capability registry, allowing agents to function seamlessly and adaptively within a peer-to-peer mesh environment. This advancement is significant for the AI/ML community, as it promotes a more fluid and adaptable framework for agent-to-agent interaction, enhancing the potential for decentralized cooperative workflows. Technical features include federated trust through decentralized identifiers (DIDs), dynamic capabilities, and advanced message transport using libp2p. With Symplex, agents can engage in multi-step distributed workflows, engaging in real-time intent negotiation, which can revolutionize how AI systems collaborate and optimize task execution across diverse applications. The implications of this protocol could lead to more versatile and efficient AI systems capable of complex operations in a decentralized manner.