Streaming Execution With Real Time Token And Event Emission

via “streaming execution with real-time token and event emission”

Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.

Unique: Streaming is native to LangGraph's execution model, not bolted on; agents emit events at each node execution without additional instrumentation. Supports multiple streaming modes (values, updates, debug) for different use cases.

vs others: More efficient than polling for agent status because events are pushed to clients as they occur, and streaming is integrated into the graph execution rather than requiring a separate monitoring layer.