Run the world’s best agent harnesses in your product | HarnessRouter

Build agent products without handling harness engineering.

Plug Codex, Claude Code, Hermes, DeepSeek Harness, and more into your product as agent backends through one API.

The best agent harnesses as your infrastructure, one conversation away.

HarnessRouter — Interactive comparison

Your product N × M
Infrastructure Deploy
Sandbox Task + Run
Session Stream
Files Artifacts
Recovery Traces

Your product

ONE API Swap with a config line.

4 × 9 = 36 INTEGRATIONS

1 API INTEGRATION

Without: 4 harnesses require 36 module connections. With HarnessRouter: one API integration connects Codex, Claude Code, Hermes, Pi.

Used by teams building agent-powered products:

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Start new Build a new agent product

Build it with Codex, Claude Code, or your coding agent.

Migrate Migrate an existing agent product

Move your current managed agent backend to HarnessRouter.

Open Source at the core

Use the managed Cloud or run it yourself.

HarnessRouter Cloud

Start at $0, no card needed.

Explore the console and configure agents for free. Usage is drawn only while hosted tasks run; waiting is free.

Use a HarnessRouter key Every model at its listed catalog price, no markup. Plans from $20 a month include their full price as usage.

Bring your own API keys Your provider bills your model usage directly. You pay for Agent work only; waiting is free.

Community Edition

Self-hosted

Run the same UHP interface on infrastructure you control.

Benchmark · One task, same input

Cut enterprise agent usage costs by 90% or more.

Observed cost spread

Harness × model Relative cost
Hermes × gpt-5.2 1.0×
Codex × gpt-5.2 1.5×
Hermes × claude-opus-4.8 319×
Claude Code × claude-opus-4.8 475×

This is one measured workload, not a universal maximum. Harness and model both change production cost.

Serverless agent runtime

Scale without operating the infrastructure.

HarnessRouter provisions and operates one isolated sandbox for every task, so workloads scale without infrastructure work.

Your product 20 task requests

Tasks received Provisioning Running
1. Tasks received 2. Provisioning 3. Running

Your first run

Build it in three steps.

Then manage your harnesses and tasks in the console.

  1. Copy and paste AGENTS.md
  2. Build
  3. Connect
  4. Manage

Step 1 of 3

AGENTS.md

Copy AGENTS.md

Harness × model routing

Switch harnesses and models without changing your product API.

Benchmark harness × model combinations on your task, then choose the configuration you route to, all through one integration.

Choose the combination

Harness Model
Codex Code and apps
Claude Code Code, files, and documents
Hermes Persistent, autonomous work!
Pi Minimal and steerable!
DeepSeek Harness Coding agent for DeepSeek models

Benchmark the pair by quality, latency, and cost.

Open Source starter kits

Start from a complete agent product.

Each Open Source kit includes an app, a configured agent, and the skill that teaches it what to build.

Customer story · Readily

“We can go from a problem and a plan to an agent in product within 24 hours.

Technical Q&A

What is an agent harness?

An LLM returns tokens. A harness gives it a sandbox, tools, and a loop, so it returns actual work.

Is HarnessRouter just another AI wrapper?

No. HarnessRouter is the execution and runtime layer between your product and supported agent harnesses.

Cost and adoption

How does pricing work with our own API keys or a HarnessRouter key?

Start at $0 with no card: explore the console and configure agents. Bring your own API keys and your provider bills your model usage directly; you pay for Agent work only, and waiting is free.

What is required to migrate an existing agent workflow? Adopt the HarnessRouter API or UHP contract, then map your existing workflow, tools, files, and result handling to it. Community Edition and starter kits shorten the path, but your team still verifies product-specific behavior.

Put agent harnesses to work in your product.

Start with one API. Scale and optimize as your workloads grow.