Building Framework-Agnostic AI Swarms: Compare LangGraph, Strands, and OpenAI Swarm

If you've ever run the same app in multiple environments, you know the pain of duplicated configuration. Agent swarms have the same problem: the moment you try multiple orchestrators (LangGraph, Strands, OpenAI Swarm), your agent definitions start living in different formats. Prompts drift. Model settings drift. A "small behavior tweak" turns into archaeology across repos. AI behavior isn't code. Prompts aren't functions. They change too often, and too experimentally, to be hard-wired into orchestrator code. LaunchDarkly AI Configs lets you treat agent definitions like shared configuration instead. Define them once, store them centrally, and let any orchestrator fetch them. Update a prompt or model setting in the LaunchDarkly UI, and the new version rolls out without a redeploy. Ready to build framework-agnostic AI swarms? Start your 14-day free trial of LaunchDarkly to follow along with this tutorial. No credit card required. Start free trial → The problem: Research gap analysis acros