agentgateway vs ongrid
agentgateway: Agentgateway is an open-source proxy offering a complete connectivity solution for Agentic AI, built on AI-native protocols like MCP and A2A. It provides security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication across various frameworks.; ongrid: Ongrid is a self-hosted ops agent that correlates metrics, logs, traces and topology to find the root cause of incidents and can investigate alerts automatically. It works from Slack, Telegram, Larksuite, DingTalk or WeCom, reaches hosts through an outbound-only edge agent, and keeps risky actions behind approvals.
TL;DR
- You want one proxy for LLM calls (OpenAI-compatible API with spend controls, failover and load balancing), MCP tools and A2A traffic.
- You need guardrails from several sources: regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor or webhooks.
- You need security and observability built in: JWT, API keys, OAuth, RBAC with a CEL policy engine, rate limiting, TLS and OpenTelemetry.
- You only need to bridge one MCP transport: a small proxy is simpler.
- You want the inference-routing features without Kubernetes: the README ties them to Kubernetes Inference Gateway extensions.
- You want detailed setup instructions in the README: it is short and points to the documentation site.
Investigating production alerts from a team chat channel
Side-by-Side Comparison
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