AI-Gateway

★ 1.0k

harness-sdk

★ 8.9k

AI-Gateway vs harness-sdk

Q: Which is better, AI-Gateway or harness-sdk?

By GitHub stars, harness-sdk 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.; harness-sdk: This monorepo holds the Strands Agents SDKs for Python and TypeScript plus Strands harness, a fully assembled agent created with one create_harness() call. It runs in your own process and covers the agent loop, tools, MCP, multi-agent patterns, memory, sessions, guardrails, tracing and evals across Bedrock, Anthropic, OpenAI, Gemini and other providers.

TL;DR

AI-GatewayMulti-Agent · ★ 1.0k

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

Read AI-Gateway full review →

harness-sdkMulti-Agent · ★ 8.9k

Replacing a hand-rolled agent loop with a maintained SDK

Read harness-sdk full review →

Side-by-Side Comparison

Field

AI-Gateway

harness-sdk

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

harness-sdk

01Strands harness: a ready-made agent with default model, tools, memory, sessions and context management

02Lower-level SDKs in Python (3.10+) and TypeScript (Node 22+) to own the agent loop yourself

03Lifecycle controls such as turn limits, token budgets, cancellation and hooks on every step

04Built-in MCP, structured output, streaming, multi-agent patterns, guardrails, tracing and evals

05Model portability across Amazon Bedrock, Anthropic, OpenAI, Gemini, Ollama and custom providers

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

harness-sdk

↳Replacing a hand-rolled agent loop with a maintained SDK

↳Building production agents on AWS with Bedrock models

↳Prototyping a coding or research agent quickly with the harness and CLI

↳Adding tracing, guardrails and evals to existing agent code

Best For

AI-Gateway

—

harness-sdk

EssentialTrending

FAQ

What is the difference between AI-Gateway and harness-sdk?

Both AI-Gateway and harness-sdk are in the Multi-Agent category. AI-Gateway has 1.0k stars, while harness-sdk has 8.9k stars.

Which is better, AI-Gateway or harness-sdk?

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 harness-sdk if Replacing a hand-rolled agent loop with a maintained SDK.

Is AI-Gateway free or open source?

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

Is harness-sdk free or open source?

Yes, harness-sdk is open source on GitHub (Apache-2.0).

Cloud Infrastructure

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Alternatives to AI-Gateway →Alternatives to harness-sdk →AI-Gateway details →harness-sdk details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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