AI-Gateway

★ 1.0k

trpc-agent-go

★ 1.9k

AI-Gateway vs trpc-agent-go

Q: Which is better, AI-Gateway or trpc-agent-go?

By GitHub stars, trpc-agent-go has more community adoption, but the best choice depends on your specific use case.

AI-Gateway: AI Gateway is an enterprise-grade gateway powered by Azure API Management for managing AI models, tools, and agents. It provides security, performance, observability, cost control, and extensibility. The project includes 30+ hands-on labs to help users deploy and manage AI gateway capabilities in Azure.; trpc-agent-go: tRPC-Agent-Go is a Go-native framework for production agent systems. It combines LLM agents, type-safe graph workflows (positioned as a LangGraph equivalent for Go), chain, parallel and cycle multi-agent patterns, function and MCP tools, session and memory state, knowledge retrieval, SKILL.md-based agent skills with self-evolution, evaluation sets, and OpenTelemetry/Langfuse observability, with A2A and AG-UI protocol integration.

TL;DR

AI-GatewayMulti-Agent · ★ 1.0k

Manage and control access to Large Language Models with enterprise-grade policies

Read AI-Gateway full review →

trpc-agent-goMulti-Agent · ★ 1.9k

Adding agents to existing Go microservices

Read trpc-agent-go full review →

Side-by-Side Comparison

Field

AI-Gateway

trpc-agent-go

Features

AI-Gateway

01Security with OAuth 2.0, managed identities, and content safety filtering

02Performance with load balancing, semantic caching, and request routing

03Observability with token metrics, built-in logging, and tracing

04Cost control with rate limiting, quota management, and FinOps framework

05Extensibility with MCP protocol support, function calling, and multi-model routing

trpc-agent-go

01GraphAgent: type-safe graph workflows with multi-conditional routing

02Chain, parallel and cycle agents for multi-agent collaboration

03Function tools, MCP tools, web search and code execution

04Session, memory, artifacts and knowledge retrieval as runner-level services

05Evaluation sets plus OpenTelemetry tracing and Langfuse examples

Use Cases

AI-Gateway

↳Manage and control access to Large Language Models with enterprise-grade policies

↳Enable secure tool access with MCP protocol and function calling

↳Build and control agentic applications with orchestration frameworks

trpc-agent-go

↳Adding agents to existing Go microservices

↳Customer support or data-analysis agents with persistent memory

↳Multi-step business workflows with human-in-the-loop and evaluation

FAQ

What is the difference between AI-Gateway and trpc-agent-go?

Both AI-Gateway and trpc-agent-go are in the Multi-Agent category. AI-Gateway has 1.0k stars, while trpc-agent-go has 1.9k stars.

Which is better, AI-Gateway or trpc-agent-go?

The best choice depends on your use case. Choose AI-Gateway if Manage and control access to Large Language Models with enterprise-grade policies, and trpc-agent-go if Adding agents to existing Go microservices.

Is AI-Gateway free or open source?

Yes, AI-Gateway is open source on GitHub (MIT).

Is trpc-agent-go free or open source?

Yes, trpc-agent-go is open source on GitHub (Apache-2.0).

Cloud Infrastructure

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Alternatives to AI-Gateway →Alternatives to trpc-agent-go →AI-Gateway details →trpc-agent-go details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

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