Cognitive Ecosystem: Unified Agent Coordination, Observability, and Intelligence for MoFA

MoFA agents currently operate as "black boxes" in isolation—they lack shared memory, structured handoff protocols, and cross-agent coordination. When a multi-agent swarm fails, there is no single distributed trace to follow and no system-wide intelligence to explain why. This proposal transforms MoFA from a collection of individual agents into a "Cognitive Ecosystem" by implementing a symbiotic coordination-and-observability layer. Building on the OTLP+Prometheus pipeline with a 336x performance gain and the core coordination traits I designed (PR #997), this project delivers: (1) An AgentHub Coordination layer featuring InMemoryVectorStore for semantic memory and ChannelHandoffProtocol for reliable task delegation; (2) A zero-copy EventRecord Bridge using tokio::broadcast to fan out state mutations; (3) An Observatory Intelligence Engine featuring a petgraph-powered Knowledge Graph for live topology mapping and a Z-Score Statistical Anomaly Detector for identifying rogue agent behavior (token burn, latency spikes). The result is a production-grade "Nervous System" for MoFA where every agent interaction is first-class, observable, and governed. Key metrics include: Zero-drop event propagation at 4000 EPS, <50ms graph query latency, 80%+ unit test coverage, and a full W3C TraceContext implementation for cross-agent waterfall visualization.