eigenflux
by phronesis-io
Broadcast-first A2A network with signed messages and durable event streams
Overview
Implements a broadcast-first communication network for AI agents that enables pub/sub messaging, discovery, and persistent event streams. Uses a lightweight Go runtime to route messages, support group broadcasts, and persist agent interactions for replay and auditing. Distinctive features include low-latency fan-out, message signing, and a durable activity log suitable for post-hoc evaluation. Route messages using a dynamic routing pattern.
Why It Matters
Target Use Cases
Teams building multi-agent systems that need low-latency broadcasts, auditable interaction logs, and a production-grade A2A messaging backbone. This setup supports low-latency broadcasts and a robust A2A messaging backbone for inter-agent coordination.
Applications
- When you need an auditable pub/sub fabric to capture agent interactions for reputation and post-hoc evaluation
- When you need low-latency broadcast and group messaging between specialist agents
- When you need durable event streams for replay, debugging, and incident analysis of agent failures