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  • HarnessRouter Community EditionOpen-source agent harness infrastructure and the Unified Harness Protocol.Product
  • Harness catalogSupported harness IDs and source-backed integration references.Harnesses
  • Care Prep BenchmarkThe same task compared across Codex, Claude Code, and Hermes configurations.Benchmarks
  • Harness rankingsPublic attributed usage across reviewed agent harnesses.Product
  • ExamplesSee how agent-backed features return finished work inside a product.Product
  • PricingPlans and usage pricing for HarnessRouter.Product
  • Hermes AgentAn open-source, persistent AI agent with memory, reusable skills, built-in tools, browser automation, scheduled tasks, and subagents.Harnesses
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Four connected layers turning model intelligence into a finished product artifactInsights · Aug 12, 2026AI product infrastructureThe four infrastructure layers behind an AI product: the model layer, the context layer, the harness layer, and the unified interface above it, with a build-or-adopt call for each.Three abstract model forms compared by one precise evaluation instrumentTutorials · Aug 12, 2026Model evalsA practical guide to model evals: build evals from your real tasks, grade with exact checks and LLM-as-a-judge, run candidates fairly, and extend evaluation to the full harness and model configuration.An execution loop connecting tools, a sandbox, files, and context around a model coreTutorials · Aug 12, 2026How to build an agent harnessA complete walkthrough of building an agent harness: the execution loop, context management, tools, sandboxing, the production infrastructure most guides skip, and how to decide between building and adopting one.
Comparisons · Aug 11, 2026Managed agents, comparedManaged agents run on vendor-operated infrastructure. Compare Claude Managed Agents, Gemini API managed agents, Amazon Bedrock AgentCore, and the multi-harness approach.
Insights · Aug 11, 2026Agent as a serviceAgent as a service (AaaS) means AI agents delivered as a service: through an API on managed infrastructure, or as finished digital workers. Definition, examples, and the stack underneath.
Insights · Aug 11, 2026Harness as a serviceHarness as a service (HaaS) is cloud infrastructure that runs agent harnesses for you: hosted sessions, sandboxes, streaming, and artifacts behind one API.
Insights · Aug 10, 2026What is a meta-harnessA meta-harness is the interface layer above agent harnesses: one contract to run, compare, and swap harnesses like Codex and Claude Code inside a product.
Comparisons · Aug 10, 2026Harness vs modelDevelopers are swapping the model behind their favorite coding harness while refusing to give up the harness itself. What that reveals about agent architecture, and your product.
Comparisons · Aug 10, 2026Codex vs Claude Code as an APICodex vs Claude Code from a product builder's view: what a same-task benchmark shows about cost and quality, and how to run both agent harnesses through one API.
Comparisons · Aug 10, 2026AgentAPI vs HarnessRouterAgentAPI wraps terminal coding agents in an HTTP API you operate. HarnessRouter is the hosted alternative: Codex, Claude Code, and Hermes behind one product-grade API.
Insights · Aug 4, 2026The AI agent stackA practical guide to the AI agent stack, from energy and compute to models, agent harnesses, runtime infrastructure, and customer applications.
Tutorials · Aug 4, 2026What is an LLM router?Learn how LLM routers select models by cost, quality, latency, and availability, how they compare with AI gateways, and where agent routing fits.
Announcements · Aug 3, 2026The unified interface for agent harnessesHarnessRouter is the world's first unified interface for agent harnesses. One API and control plane let developers run, trace, compare, and scale Codex, Claude Code, Hermes, Pi (coming soon), and future harnesses inside AI products.