Identity for every agent, budgets, permissions, a kill-switch, audit evidence, and compliance packs — without rewriting a line of crew code. Your CrewAI crews keep running in your own infrastructure, defined in the Python your team wrote. MeetLoyd governs them through one base URL for LLM and tool calls, or from a control plane deployed in your own cloud.
Every crew and every agent within it — the production pipeline and the experiment that never got turned off — registered, named, owned, and given a cryptographic identity. When security asks "how many agents do we run, and who owns each one?", the answer is a list, not a repo search.
Per-agent and per-crew spend limits on model consumption, enforced at call time. A crew that spirals into delegation loops stops at its budget — it does not surface as a provider invoice at month end.
Deny-by-default grants on which tools and data each agent may touch, enforced centrally at runtime rather than scattered across task definitions — with sensitive actions routed to a human for one-click approval.
Pause one agent, one crew, or the whole estate in one action — enforced at the gateway, no redeploy, no killing processes by hand.
Every call logged into a tamper-evident audit trail, mapped to the compliance packs your regulators care about — GDPR, EU AI Act, DORA, HIPAA, SOX and more. Evidence is exported, not reconstructed from logs.
Your agents, tasks, and crews stay exactly as your engineers wrote them. No SDK swap, no framework migration, no rewrite. Governance wraps the calls; it does not touch the logic.
Your team chose CrewAI for good reasons — role-based agents, fast iteration, a clean mental model. They keep building with it. MeetLoyd is the governance layer around what they build, not a replacement for how they build.
Same repos, same CI/CD, same deploy targets. The gateway change ships like any other config change, and everything downstream keeps working.
It starts with discovery: MeetLoyd inventories the agents already calling models from your services. From there, each crew is gatewayed by pointing its LLM and tool base URL at MeetLoyd — typically one environment variable — and that one change carries identity, budgets, permissions, kill-switch, and audit. For sovereignty requirements, the full control plane deploys in your own cloud or VPC.