Ingram Cloud vs Claude Managed Agents

The same layer. None of the lock-in.

Anthropic hosts your agents — on Claude, on their platform, against their own API. So do we: over any model, on European infrastructure, through the OpenAI API you already speak — with a private, sealed agent for every one of your users.

Common ground

The same job, up to a point.

Both platforms run your agents so you never build sandboxing, state, credentials, and tracing yourself. Both speak MCP for tools. Credit where it’s due — that’s real infrastructure, and Managed Agents is good at it. The difference is what you’re tied to once you commit: the model, the region, the API, and whether the isolation is yours or your users’.

Five differences that matter

Where the two part ways.

Not feature checkboxes — structural choices. Each is something a single-vendor, single-region platform can’t easily follow.

Any model, not one vendor

Managed Agents runs on Claude, full stop. Ingram Cloud speaks the OpenAI wire format across model families and takes your own keys — so the same agent runs on Claude, GPT, or an open model, and you're never one vendor's pricing decision away from a rewrite.

BYOK · OpenAI-compatible · multi-model

European by architecture

Agent state lives in EU infrastructure because that's where the platform runs — not a region toggle. Managed Agents offers no residency choice. Pair EU hosting with the trace and you can prove, action by action, what touched your users' data.

built & hosted in the EU

One private agent per end-user

Managed Agents is built around a developer's session. Ingram is built around your users: provision a smith per person and each holds its own memory, connections, and history, sealed from the rest. Multi-tenant isolation is the primitive, not something you assemble on top.

smith = the unit of isolation

Standards in, not a proprietary harness

Managed Agents asks you to code against its own control plane — sessions, harnesses, a bespoke execution loop. Ingram's surface is the OpenAI API and MCP you already use. Point your existing SDK at us and it works; leaving is a config change, not a rebuild.

OpenAI API · MCP · no rewrite

It reaches your users, not just your code

Managed Agents is an API you wire a front-end onto. Ingram ships WhatsApp, Telegram, Slack, and Discord as first-class channels — a smith is reachable on the surfaces your users already live on, with one continuous history across them.

WhatsApp · Telegram · Slack · Discord
Side by side

The head-to-head.

CapabilityClaude Managed AgentsIngram Cloud
ModelsClaude onlyAny model, BYOK
Data residencyNo residency choiceEU by architecture
Isolation modelPer developer sessionPer end-user smith, sealed
Integration surfaceProprietary agent APIOpenAI API + MCP
End-user channelsWhatsApp · Telegram · Slack · Discord
Tools over MCP
Hosted run loop, state & credentials
Replayable, costed audit traceExecution tracingEvery action & euro on the record
Sandboxed code executionVia tools & MCP
PricingToken rates + $0.08 / session-hourUsage-based on active smiths
Where Managed Agents may fit you better

We’ll tell you when they win.

A comparison that only flatters itself isn’t worth reading. So here are the cases where Anthropic is the better call.

  • You’ve already bet the company on Claude

    If Claude is your only model and always will be, a single-vendor stack is simpler — one contract, one bill, one support channel. Our whole pitch is the opposite bet. It’s a bet, and we’ll say so.

  • You want frontier harness research the day it ships

    Anthropic co-designs the agent loop with the model and ships research features — self-evaluation, memory that learns across sessions, lead-and-specialist orchestration — first. We adopt the frontier over open frameworks; we don’t out-research the people who make the model.

  • Your agents run heavy arbitrary code

    Their brain-and-hands split provisions execution sandboxes on demand, at the operational scale of a company many times our size. If code execution is the core of your agent, that maturity is real today.

How we earn the other cases

Run managed agents you can leave.

Same hosted run loop, state, and tracing — over any model, on EU soil, with a private agent for every user. Point the SDK you already have at us.