agentgateway vs lunar
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.; lunar: Lunar.dev is an open-source platform designed to manage, govern, and optimize third-party API consumption for applications and AI agent workloads at scale. It acts as a unified API Gateway for the AI era, providing a crucial mediation layer between applications, agents, and external services.
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.
Governing and securing third-party API access for AI agents and autonomous workflows.
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