HarnessRouter Offers a Single Local Layer for AI Agents

AI agents keep multiplying, and each one brings its own runtime and its own way of doing things. HarnessRouter wants to sit underneath all of them as a single routing and execution layer you run on your own machine. It is self-hosted with Docker, takes your own API keys, and needs no cloud account or required telemetry.

What Happened

HarnessRouter is a self-hosted layer for running agent runtimes like Claude Code, Codex, and Hermes locally inside one Docker container. It routes requests across Anthropic, OpenAI, OpenRouter, Azure Foundry, and Bedrock, among others.

Key details from the announcement:

• Bring your own API keys; no cloud account or required telemetry.
• Live view of commands, files, and agent activity while agents run.
• Local persistence using SQLite plus Docker volumes.
• Built around the Unified Harness Protocol (UHP).
• Starter kits for agent-generated Slides and Sheets.

Why It Matters

The point is the abstraction. Instead of managing every agent runtime separately, you get one common layer underneath them all. As more coding agents and computer-use agents appear every week, a single routing and execution layer makes that infrastructure simpler rather than messier.