Identity for every agent, budgets, permissions, a kill-switch, audit evidence, and compliance packs — without rewriting a line of agent code. Your LangChain and LangGraph agents keep running in your own infrastructure, on your own CI/CD. MeetLoyd governs them through one base URL for LLM and tool calls, or from a control plane deployed in your own cloud.
Every agent across your repos and services — the flagship pipeline and the prototype that quietly went to production — 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 an archaeology project.
Per-agent and per-service spend limits on model consumption, enforced at call time. A graph stuck in a retry loop stops at its budget — it does not run all weekend and surface as a provider invoice on Monday.
Deny-by-default grants on which tools and data each agent may touch, enforced centrally at runtime rather than scattered across per-repo conventions — with sensitive actions routed to a human for one-click approval.
Pause a single agent, a service, or the whole estate in one action — enforced at the gateway, no redeploy, no hunting for the right feature flag at 2am.
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. Tracing tells you what happened; this is evidence you can hand to an auditor.
Your chains, graphs, prompts, and tools 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 LangChain for good reasons — the abstractions, the ecosystem, the velocity. 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 agent 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.