langgraph-patterns

You can orchestrate dynamic agent registries in LangGraph using a compact Manager, Worker, and Registry StateGraph to route tasks, manage state, and dispatch runtime agents on a single worker node. This enables dynamic agent creation and inter-agent communication.

You can use six architectural IPC patterns to route tasks for multi-agent workflows: pipeline, fan_out_fan_in, expert_pool, producer_reviewer, supervisor, and hierarchical. These patterns support complex composites for scalable meta-agent based architectures.

You can scale Gemini teams with a fixed StateGraph runtime by applying a minimal API surface that restricts runtime changes to the registry via reducer-based updates. This ensures predictable messaging and stable runtimes while managing dynamic agent dispatch.

Yes, LangGraph supports self-critique loops for agent runtimes by enforcing a stable StateGraph with a minimal API surface. This ensures predictable messaging and adapter compatibility while restricting runtime changes to the registry via reducer-based updates.

The best way to manage state changes in a multi-agent graph is to restrict runtime modifications to the registry via reducer-based updates. This approach maintains a stable StateGraph and predictable messaging while allowing dynamic agent creation.