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Pervasive.link – A Meta-Protocol for Multi-Agent Systems

  • When multi-agent systems (MAS) mature from isolated deployments into globally networked societies of AIs & Agents, the lack of a unifying coordination layer will be a critical bottleneck.
  • Current approaches often remain siloed, relying on localized standards, narrow-purpose protocols, or proprietary integrations that limit scalability, interoperability, and openness. Without a connective infrastructure, MAS ecosystems risk fragmentation, duplication of effort, and fragile trust dynamics.
  • Problem context: Large scale MAS deployments often remain siloed, using ad-hoc APIs or narrow orchestration frameworks.
  • Analogy: Just as TCP/IP allowed disparate networks to converge into the Internet, Pervasive.link provides a universal meta-protocol that allows diverse agents and ecosystems to converge into a planetary-scale society of agents.
  • Goal: Enable interoperability, alignment, and large-scale cooperation across heterogeneous agents and infrastructures.
  • Pervasive.link addresses this by proposing a meta-protocol for agentic interconnection & coordination. Unlike conventional messaging or orchestration frameworks, it does not enforce a single execution model. Instead, it establishes a semantic, trust-anchored, and execution-neutral connection fabric that binds heterogeneous agents, infrastructures, and workflows into a shared coordination layer. This ensures that diverse AI & agent architectures can communicate, collaborate, and evolve together without being constrained to a single technical or ideological paradigm.
  • This design allows for large-scale, open-ended cooperation across distributed societies of agents. Just as the internet unified disparate computer networks into a global web of information, Pervasive.link aspires to unify agent networks into the emerging Internet of Agents - a planetary-scale infrastructure where intelligent entities can discover each other, coordinate seamlessly, and collectively generate new forms of knowledge, value, and resilience.

Core Principles

  • Universality – every agent, tool, and environment can speak the same envelope.
  • Semantic grounding – all exchanges carry machine-readable meaning, not just bytes.
  • Trust and alignment – every message encodes provenance, capability, and alignment context.
  • Transport neutrality – works across HTTP, WebSocket, NATS and other adaptors to kafka, libp2p etc.
  • Execution neutrality – supports Python nodes, containers, or external services.
  • Open-endedness – enables continuous evolution of vocabularies, modules, and policies without breaking existing systems.