Discover
Find agents your org does not know it runs.
Agentomy maps active agents, frameworks, permissions, and runtime state before they become ungoverned risk.
AGENT REGISTRY
Know what your agents are doing. Stop them when you need to. Prove it happened.
Agentomy gives teams a governed operating layer for discovering agents, enforcing runtime policies, and producing audit-ready proof across the agent stack.
Agentomy gives AI teams a practical governance loop: find the agents already operating, enforce policy at runtime, produce evidence, and govern the system as it evolves.
Agentomy is designed around traceability: every policy decision, runtime exception, connector request, and approval path can become part of an evidence trail.
The category's Forrester Wave leader archived their open source. We published ours as Apache 2.0 licensed.
These are documented governance failures from the last 90 days. Each maps to specific Agentomy detection capabilities.
Detected by: Identity Resolution, Permission Enforcement, Behavioral Baseline, Content Scanning, Hash-Chain Audit, Fleet Halt
Detected by: Shadow Discovery, Content Scanner, Behavioral Monitor, Desktop Interceptor, Sovereign Halt
Detected by: IOC Package Flagging, Version Pinning, C2 Domain Detection, Obfuscated Script Detection
Discover
Agentomy maps active agents, frameworks, permissions, and runtime state before they become ungoverned risk.
AGENT REGISTRY
Enforce
Runtime checks route decisions through policy controls before sensitive actions execute.
POLICY CONTROL
Prove
Every evaluated action can become a traceable evidence record with policy context and decision history.
AUDIT EVIDENCE
Govern
Unify policy state, agent visibility, runtime controls, and evidence records across the agent stack.
GOVERNANCE OVERVIEW
AI agent platforms increasingly discover capabilities through the open Agent Skills spec (Claude Code, Cursor, Copilot, Gemini CLI, Codex, Goose, OpenHands, Kiro, Tabnine, and ~15 more). Agentomy ships 16 spec-conformant skills covering every IP-named primitive in our vocabulary -- discoverable in the agent's native namespace, not just our REST API.
Runtime-loaded registry of every spec-conformant SKILL.md. SHA-256 contentHash per skill + registryHash (hash-of-hashes) for tamper-detect across the full inventory. Public discovery at GET /api/skills/registry/status.
Every Agentomy skill carries an Ed25519 attestation binding skill content + version to the constant Agentomy issuer. Verifier returns 5 specific tamper reasons. Differentiates from unsigned community skill libraries.
The SDK method that turns "loaded a skill" into "loaded a governed skill". Three-gate decision: skill exists in registry + caller tier permits + attestation verifies. const r = await agent.skill("agent-certificate", { callerTier: "Operator" }).
Monitor agent inventory, policy coverage, enforcement actions, evidence records, and model routing from one operational surface.
Each entry is hash-linked to the previous for tamper-evident replay.
Agentomy Agent gives builders an open governed agent framework. Agentomy builds the commercial governance operating system around discovery, enforcement, evidence, and enterprise control.
Bring Your Own Key. Self-hosted (Tier 1) or API key (Tier 2). Your governance data stays in your infrastructure. Deploy to Azure Container Apps, Kubernetes, Docker, or air-gapped environments. Self-hosted deployment eliminates network transport exposure entirely.
Governance is not the opposite of innovation. It is the structure that makes it possible.
Agentomy gives teams the operating layer to discover, enforce, prove, and govern AI agent activity before it becomes unmanaged risk.