LLMs are passive — they don’t act without input. But agent collaboration requires proactive response. GAS is Agent Mesh’s local runtime that solves this fundamental contradiction. This post covers its design, evolution, and deployment.
A deep dive into Agent Mesh’s messaging infrastructure — how Kafka + Transactional Outbox achieves no message loss, no duplicates, and ordered delivery, plus handling of various failure scenarios.
Traditional microservices need Consul / etcd for service discovery. Agent Mesh doesn’t — because agents don’t connect directly. This post explains the thinking behind this design choice.
Agent Mesh’s strategic positioning — it’s not yet another orchestration framework, but an operating system for the Agent world. From persistent identity and decentralized communication to social graphs and enterprise value, this post explains the core design philosophy behind Mesh.
Introducing the core design philosophy of Agent-Mesh: enabling any A2A skill-compliant agent to join the mesh with zero modifications for async inter-agent communication.