Apollo GraphQL Blog

Rover is Apollo's CLI for managing GraphQL schemas, running checks, and working with the GraphOS registry. It is the primary tool most teams use to integrate graph operations into their development workflows and CI/CD pipelines.

If you run GraphOS Router or Apollo Gateway behind a corporate proxy or firewall, you may need to configure outbound network access to Apollo's domain names…

Schema proposals are how teams running Apollo GraphOS coordinate changes to their graph: a place to draft a schema change, talk about it, review it, and ship it with confidence. As more teams have…

Today, we're launching a new API keys page in GraphOS Studio, a single place where you can view and manage your SCIM, subgraph, and operator API keys directly from the UI. With built-in tools to filter by key status, cleanly rotate…

We're excited to announce the release of Apollo Client 4.2. This release brings two additional long-awaited features:

We're excited to announce Apollo Kotlin 5 is now available.

Today we're releasing a preview of Rust-native composition for Apollo Federation. We are close to the finish line of a multi-year effort to replatform Apollo Federation, both the query planner and the composition engine, from JavaScript/TypeScript to Rust. You can try it now by…

Today we're honored to announce Apollo has been recognized in the 2026 Gartner Peer Insights "Voice of the Customer" for API Management for the first time. We scored 4.7 out of 5 stars from 55 verified enterprise…

Over the past few months, we've introduced several additions to the GraphOS Platform API that make it easier than ever to analyze your graph's usage and performance trends. These new Insights APIs allow for…

Engineering update on viewing operational insights within the GraphOS Platform API.

Agent Skills reduced our AI agent's token consumption from 65,000 to 24,000 tokens and completion time from five minutes to under two — for the exact same task with the exact same agent. Here's what happened, why it matters, and what it means for how you build with AI agents.

Article about optimizing AI agents with Apollo MCP Server for direct knowledge access instead of research.

Guide on orchestrating multiple APIs for language model agents using Apollo.

Tutorial on making existing GraphQL APIs AI-ready using Apollo tools and services.

Article by Kaitlyn Barnard exploring how AI was trained to provide documentation nitpicks and improvements.

Article by Daniel Abdelsamed on building AI agents leveraging GraphQL schemas for intelligent API interactions.