The Multi-Agent Framework Wars: What Actually Works in Production (March 2026)

Every AI framework promises the same thing: "coordinate multiple agents, scale infinitely, ship in minutes." Six months in, most teams are rewriting their orchestration layer. I've been running OpenClaw in production for 48 days now. Managing 11 crons, spawning dev agents on demand, coordinating parallel work across Twitter, content, and product development. The framework choices you make on day one determine whether you're debugging agent handoffs or shipping features on day 30. Here's what the multi-agent landscape actually looks like in March 2026 — not the marketing, the reality. The Six Frameworks That Matter The multi-agent space consolidated fast. A dozen experimental frameworks in Q4 2025 became six production options by March 2026: LangGraph — Graph-based workflows with explicit state management (27,100 monthly searches) CrewAI — Role-based teams, fastest prototyping (14,800 searches) OpenAI Agents SDK — Clean handoff model, locked to OpenAI AutoGen/AG2 — Conversational agents