Show HN: AgentGoGo (agentgogo.app)

AgentGoGo is a new open-source Agent SDK and managed platform for building, deploying and operating AI agents at scale. It packages Kubernetes-native orchestration (MCP servers, state stores, caches, embedding services), a built-in secure agent mesh for dynamic discovery/authentication/routing, and full-stack AI observability (metrics, logs, tracing, LLM call traces and prompt flows). The project promises declarative prompt management and governance (versioning, guardrails, alerting), distributed workflow support (multi–sub-agent routing, cost/latency transparency, behavioral anomaly detection) plus starter templates, GitOps deployments and out‑of‑the‑box model access to mainstream LLMs. The codebase is 100% open-source and Go-compatible, with hosted and self-hosted deployment options (BYOC available; self-hosted license as an add‑on). For AI/ML teams this matters because it treats agent fleets like cloud-native services rather than ad hoc scripts: it targets agent‑specific failure modes—prompt drift, untrusted context, behavioral anomalies—and adds governance, observability and cost controls needed in production. Technical implications include easier integration with existing infra (Kubernetes, vector DBs/Redis), transparent token/storage pricing tiers (Starter → Enterprise with training opt‑out, SAML, RBAC, SLAs), and the ability to scale from a few agents to distributed fleets while retaining control and auditability.