Langgraph

The framework debate consolidated into a spectrum. The next argument is over orchestration topology: every multi-agent design reduces to who holds state and control, and a February 2026 research cluster is formalizing that choice as an optimization problem rather than a brand pick.

The agent-framework market consolidated into four orchestration patterns, but those patterns leak into each other by the vendors' own docs. They are primitives on a spectrum from deterministic to autonomous, and the decision is which primitive you need, not which framework.

The prompt stopped being the hard part. What makes an agent survive tool failures, context drift, and non-deterministic outputs is the open-source harness around it, and a solo operator can now self-host the whole thing.

AI agent development is moving away from fragmented libraries toward three core orchestration models: Graph, Crew, and Handoff.

Andrew Ng's 2024 numbers made the empirical case that workflows beat models. By 2026 the missing layer is no longer the framework but the runtime: durable execution and durable memory. A single prompt has no state to lose; an agent does.

An agent is a loop whose branches are decided at runtime by the model, which a fixed control catalog like CMMC cannot enumerate. Access Control and Audit and Accountability break first. The emerging fix moves authorization outside the loop and makes the execution trace the audit artifact.