HRHarnessRouter logo
Chatbots

HarnessRouter

Unified interface for running agent harnesses as a product backend.

At a glance

Free + paid · Source review 2026-11-04
Price & billing

Free $0/month verified: console, workspaces, and agent configuration free to use; running tasks requires top-up credits, so the free tier does not cover task execution. Paid tiers are page observations in $ without a named currency, so no paid-tier charge fact is recorded: Developer $20, Production $200, Scale $1000 per month, Enterprise custom, top-up minimum $10 with a 5.5% fee. The pricing page also shows a possible 30 agent-work minutes on the free plan, but the mapping is unclear, so no 30-minute free allowance fact is recorded.

Free allowance

Free $0/month verified: console, workspaces, and agent configuration free to use; running tasks requires top-up credits, so the free tier does not cover task execution. The pricing page also shows a possible 30 agent-work minutes on the free plan, but the mapping is unclear, so no 30-minute free allowance fact is recorded.

Best suited to

Product teams that want to ship an agent feature without building harness, sandbox, session, and failure plumbing themselves.; Teams that want to benchmark the same task across harness and model combinations in Arena and route each workload to the combination that fits quality, speed, or cost targets.; Teams that want a failure contract: every run ends in a clear terminal state, with timeout reported as incomplete, partial work kept, and a full trace.

Fit is editorial guidance, not a measured result.
Platforms

Access: not separately verified. Operating systems not separately verified.

Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.

No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.

What to know before choosing

Good fit

Product teams that want to ship an agent feature without building harness, sandbox, session, and failure plumbing themselves.; Teams that want to benchmark the same task across harness and model combinations in Arena and route each workload to the combination that fits quality, speed, or cost targets.; Teams that want a failure contract: every run ends in a clear terminal state, with timeout reported as incomplete, partial work kept, and a full trace.

Limits and trade-offs

Users who want a model router only, since HarnessRouter states it is not a model router: it runs complete harnesses with tools, files, and execution loops, not bare model output.; Users who expect the free plan to cover task execution, since the pricing page states running tasks draws from top-up credit while the free plan covers console, workspace, and agent configuration at no cost.; Teams that want to keep an existing orchestration layer replaced, since HarnessRouter states it replaces the DIY harness, sandbox, session, and failure plumbing that layers such as LangGraph call into, not the orchestration layer itself.

Plans and free allowances

Free $0/month verified: console, workspaces, and agent configuration free to use; running tasks requires top-up credits, so the free tier does not cover task execution. Paid tiers are page observations in $ without a named currency, so no paid-tier charge fact is recorded: Developer $20, Production $200, Scale $1000 per month, Enterprise custom, top-up minimum $10 with a 5.5% fee. The pricing page also shows a possible 30 agent-work minutes on the free plan, but the mapping is unclear, so no 30-minute free allowance fact is recorded.

Evidence

Official homepage ↗ (reviewed 2026-11-04), Official pricing page ↗ (reviewed 2026-11-04)

Official published documentation reviewed; not a product test

Dates: Last reviewed 2026-11-04. Last reviewed is the latest source or editorial review date; it is not a content-change date.

A closer look at HarnessRouter

HarnessRouter is a unified interface for running agent harnesses such as Codex, Claude Code, and Hermes as a product backend: one API key, one contract, isolated sandboxes per task, and smart routing across harness and model combinations, with an open-source Community Edition and a managed Cloud service.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose HarnessRouter

  • Product teams that want to ship an agent feature without building harness, sandbox, session, and failure plumbing themselves.
  • Teams that want to benchmark the same task across harness and model combinations in Arena and route each workload to the combination that fits quality, speed, or cost targets.
  • Teams that want a failure contract: every run ends in a clear terminal state, with timeout reported as incomplete, partial work kept, and a full trace.

When to choose something else

  • Users who want a model router only, since HarnessRouter states it is not a model router: it runs complete harnesses with tools, files, and execution loops, not bare model output.
  • Users who expect the free plan to cover task execution, since the pricing page states running tasks draws from top-up credit while the free plan covers console, workspace, and agent configuration at no cost.
  • Teams that want to keep an existing orchestration layer replaced, since HarnessRouter states it replaces the DIY harness, sandbox, session, and failure plumbing that layers such as LangGraph call into, not the orchestration layer itself.

A practical starting workflow

  1. Describe the agent product and configure its harness in the HarnessRouter console, or take an API key and the setup guide and connect from an existing codebase.
  2. Attach skills, tools, and plugins to the configured harness, keeping the product's own interface, authentication, and permissions.
  3. Send tasks through one API key; each task runs in its own isolated sandbox with sessions, files, streaming, and a full trace, and continued sessions stay on the harness that started them.

Check before committing

  • The pricing page shows plan amounts only in $ without a named currency, so no paid-tier charge fact is recorded; the free-plan fact records only the standing free console, workspace, and configuration access, not task execution, which draws top-up credit.
  • The guessed FAQ path returns a page-not-found page, so the FAQ answers below are drawn from the homepage engineering Q&A and the pricing page Q&A, not a separate FAQ page.

Common questions

What is an agent harness?

A model reasons and generates output, while an agent harness is the runtime that turns that output into completed work through an execution loop, tools, session state, files, and a working environment.

Official homepage ↗

Is HarnessRouter a model router?

No. A model router selects models and returns model output, while HarnessRouter runs complete agent harnesses that use models, tools, files, and execution loops to perform tasks and return finished work.

Official homepage ↗

What happens when a harness times out or fails mid-run?

Every run ends in a clear terminal state: a timeout is incomplete, with the reason, any partial work kept, and a full trace, and HarnessRouter does not auto-retry the same harness or silently fail over.

Official homepage ↗

Is the free plan really free?

Yes in the pricing page Q&A sense: no card and no expiry, with console exploration, workspace creation, and agent configuration at no cost, while running tasks draws from top-up credit.

Official pricing page ↗

Compare approaches for this task

  • AgentHub — A platform to build and host AI automations with pre-built workflows.
  • AIOProductOS — Product teams that want to build what pays, since the platform ties each customer record to feedback, revenue, work and code.; Companies that need enterprise controls, since the pricing page highlights EU and US data residency, BYOK encryption, SAML/SSO on Pro and 150+ compliance controls.

Sources and checks

Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.