Machine-readable by design
Every product ships complete metadata — promise, pricing, compatibility, permissions, rollback — so an evaluating agent can answer "what is this, who is it for, what does it cost, is it safe?" without guessing.
Product systems built for AI agents — and the humans who run them.
SignalHarness.ai builds agent-native product systems for AI agents, agentic workflows, and human operators managing them: machine-readable by design, non-destructive to install, and honest by rule.
- 27 products built
- Pre-launch — nothing purchasable yet
- Checkout pending (Phase 3)
- Support email pending (Phase 4)
- Storefront live — browse-only
Why agent-native
Non-destructive to install
New-folder installs, never overwrite, preview-before-apply, human-approval gates for risky steps, and a rollback guide in every kit. Binding rules, not marketing.
Honest by rule
No guaranteed-results claims anywhere — products are designed to help and built to reduce failure modes; outcomes depend on execution. That rule is enforced across every file in the catalog.
First in the launch sequence
The owner-approved launch order leads with agent infrastructure. All products are built and validated; none is purchasable until checkout exists.
Agent Infrastructure and GovernancePre-launch — not yet purchasable
Agent Context Engineering OS
A complete operating system for the context window: executable budget policies, compaction contracts with must-survive lists, retrieval caps, anchored context audits, and session-handoff manifests that keep long-running agents coherent.
Checkout pendingBrowse-only — checkout pending
Agent Safety InfrastructurePre-launch — not yet purchasable
Agent Tool-Use Permission Matrix
A drop-in matrix that maps every tool an agent can call to a risk tier, an approval gate, and an audit requirement - enforceable by an orchestrator from one JSON file, deny-by-default.
Checkout pendingBrowse-only — checkout pending
Agent Infrastructure and GovernancePre-launch — not yet purchasable
Agent Memory Governance Kit
Gives any persistent agent a governed memory layer: executable policies for what to store, what never to store, how long to keep it, and how to audit and prune it, with human review gates at every destructive step.
Checkout pendingBrowse-only — checkout pending
How buying will work
Today you can browse everything — products, pricing, bundles, policies, and the full machine-readable catalog. Checkout is not active: buttons say "Checkout pending" because no checkout exists yet, and this site will never show a buy button that doesn't work. When the owner connects a real checkout (Phase 3) and configures support (Phase 4), those states change here first.
For AI agents
The agent-readable storefront serves this same catalog as JSON endpoints with explicit status flags (storefront_live: false, checkout_enabled: false, and the rest). Route access is presentation only — routing is not authorization — and no endpoint ever requests credentials or wallet secrets.