deepseek-harness-flow

DeepSeek Harness is designed around conversations and sessions, but real deployments often demand chaining multiple agent nodes into a reusable pipeline and benchmarking DeepSeek, OpenAI, Anthropic, and other providers under a unified standard. deepseek-harness-flow addresses this gap by layering an independent Harness Flow view on top of the existing experience, turning visual workflow orchestration and multi-model evaluation into a natural extension of any regular session.

The Flow view is organized around three focused tabs: Studio offers drag-and-drop editing and instant execution of Input, Agent, Map Agent, Condition, Merge, and Output nodes; Bench runs built-in or imported evaluation suites across multiple provider routes in parallel, with an independent judge assigning a formal 100-point score weighted 50% objective, 30% judge, 10% safety, and 10% stability; and Runs persists every result, supporting redacted exports and formal ranking queries. API keys are passed only through credentials.set, never persisted by the plugin, and no telemetry is collected.

It is well suited for developers and AI engineering teams who want to elevate agent pipelines from ad-hoc scripts to visual, auditable workflows, need to quantify and compare model capabilities across providers under one benchmark, and require compliance-ready, reproducible evaluation records.