Match or beat harnesses on accuracy with 28% fewer tokens. Strands harness is open source and ships with benchmarked defaults for the system prompt, tools, memory, sessions, and context management, so you can skip wiring up a harness piece by piece.
Spin it up from the CLI or in a few lines of Python or TypeScript. Nothing is a black box: swap model providers, override any default, or drop down to the SDK primitives with no rewrite. Then validate before you ship with 25+ built-in evaluators.
Orchestration in an AI system manages tasks across agents, handles failures, shared memory and context.
LangGraph: This uses a graph-based technique where workflows are represented as nodes and edges determine the state transitions.
Source: ByteByteGo (system design interviews) — Read the full article on the original site ↗