Agentgateway

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Agentgateway is an open-source AI Agents & Automation tool that provides a next-generation agentic proxy for AI agents and MCP servers. It offers security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agentgateway?

Agentgateway is an open-source proxy designed to provide comprehensive connectivity solutions for agentic AI. It is built on AI-native protocols like MCP and A2A, offering drop-in security, observability, and governance across various frameworks and environments. Key features include an LLM Gateway for routing traffic to major LLM providers with budget controls and load balancing, an MCP Gateway for connecting LLMs to tools and external data sources, and an A2A Gateway for secure agent-to-agent communication. It also supports intelligent inference routing, multi-layered guardrails for content filtering, and robust security and observability features like JWT, API keys, OAuth, and OpenTelemetry. Agentgateway can be deployed standalone or on Kubernetes, making it a versatile solution for managing complex AI agent interactions.

Best used for

Ideal for developers and data scientists who need to manage and secure complex AI agent interactions, route LLM traffic efficiently, and integrate LLMs with various tools. Especially valuable for those building and deploying agentic AI systems requiring robust security, observability, and governance.

Common actions

manage AI agent communication

secure AI agent interactions

route LLM traffic

integrate LLMs with tools

deploy AI agents

automated workflowdeepfakecollaborationlow-code/no-codeworkflowsopen-source"AI Agents"github copilotface swapping

Capabilities

Key features

LLM traffic routing
Connect LLMs to tools
Secure agent-to-agent communication
Intelligent inference routing
Multi-layered content filtering
Security and observability

Target Audience

developerdata scientiststartup founder

Integrations

openaianthropicgoogle-geminiaws-bedrockkubernetes

Pricing & Plans

Open Source

Free

FAQs

What protocols does Agentgateway support for AI communication?

Agentgateway is built on AI-native protocols, specifically supporting MCP (Model Control Protocol) for connecting LLMs to tools and external data sources, and A2A (Agent-to-Agent) for secure and collaborative agent-to-agent communication.

Can Agentgateway be deployed in a Kubernetes environment?

Yes, Agentgateway offers a Kubernetes Quickstart guide for deployment. It includes a built-in controller and supports Gateway API, making it suitable for Kubernetes-based deployments in addition to standalone installations.

What kind of security features does Agentgateway provide?

Agentgateway includes robust security features such as JWT, API keys, OAuth authentication, fine-grained RBAC with a CEL policy engine, rate limiting, and TLS. It also offers multi-layered content filtering with guardrails.

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