harnessrouter vs conduit
harnessrouter: HarnessRouter provides a unified infrastructure layer that transforms various agent harnesses (like Codex and Claude Code) into plug-and-play backends, enabling products to run tasks, retrieve results, and switch between harnesses via a single API. It implements the Unified Harness Protocol (UHP) and offers an OpenAI Responses-compatible API for managing persistent sessions, streaming progress, files, and task lifecycle without complex harness engineering.; conduit: Conduit acts as a local Model Context Protocol (MCP) gateway, designed to drastically reduce token overhead when AI agents utilize multiple tools by consolidating server tools into a few meta-tools. It simplifies the setup and authentication of various services, allowing them to be configured once and used across all connected AI clients.
TL;DR
Integrating diverse agent backends into a single product API
Reducing token costs and improving context window efficiency for AI agents using many tools.
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