CrewAI is a popular open-source way to build multi-agent systems — but it’s developer infrastructure you build with, which is a different proposition from osFoundry, an implemented “Hybrid AI Orchestration Platform.” Here’s a factual look for a US business, with sources cited. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
At a glance
| osFoundry | CrewAI | |
|---|---|---|
| Core focus | Orchestration: agents, automations, apps | OSS multi-agent framework + platform |
| Who builds it | dgm implements it for you | Your developers (code-first) |
| Models | Bring your own, any provider | Bring your own LLM keys (fully agnostic) |
| Pricing | Via dgm: $399 / $3,999/mo | Framework free; platform tiers vary |
| SaaS consolidation | Designed to consolidate | Framework to build with |
What CrewAI is
CrewAI is an open-source multi-agent orchestration framework in Python, plus a managed enterprise platform. It lets developers create and orchestrate teams of collaborating agents, and it has a large developer following. The managed platform adds a visual editor and an AI copilot, and the enterprise tier adds SOC 2, SSO, PII masking, and private-infrastructure/on-prem deployment.
osFoundry overlaps in orchestrating agents, but the delivery model differs sharply: CrewAI is a framework your developers build with, while osFoundry is an implemented orchestration layer delivered by dgm, aimed at non-developers and SaaS consolidation.
Models
Both are model-agnostic — strongly so. CrewAI is fully bring-your-own-model: you supply LLM API keys from any provider, so you’re never locked in (the trade-off is that token spend becomes the dominant cost of running it). osFoundry is likewise model-agnostic at the orchestration layer. Model flexibility is common ground; what differs is whether you build the orchestration yourself.
Security and data
With the open-source framework self-hosted, your data stays in your own infrastructure — a real strength for developer teams that want full control. The managed platform and enterprise tier add SOC 2, PII masking, and private-infrastructure deployment (managed-cloud data-residency specifics weren’t confirmed from a primary source). With osFoundry, dgm confirms the equivalent controls against your requirements during the integration assessment, so non-developer teams get the security review handled rather than self-managed.
Pricing
CrewAI’s framework is free and open-source; the managed platform has a free tier (limited executions) and paid tiers that are reported inconsistently across sources, plus custom Enterprise. And because you bring your own keys, model token costs are separate and can dominate the real bill. dgm’s osFoundry engagement pricing is fixed and public instead: $399 assessment and $3,999/month integration, with no per-seat fees — and dgm handles the model setup as part of the work.
Build-it-in-code vs implemented orchestration
The core difference is who builds it. CrewAI is developer-first: powerful and flexible if you have engineers who want to build and self-host multi-agent systems in code. osFoundry, via dgm, is implemented — you get a working orchestration layer and SaaS consolidation without writing the framework code yourself. For a developer-heavy org, CrewAI is appealing (and could even run behind an osFoundry orchestration in principle); for a business that wants results without building, osFoundry fits better.
Who each is best for
CrewAI is the stronger choice if you have a developer team that wants to build and self-host multi-agent systems in code, with full control and BYO models. osFoundry is the stronger choice if you want an implemented orchestration system and SaaS consolidation delivered for you.
Which should a US company choose?
If you have engineers who want to build agents in code, CrewAI is an excellent open-source option. If you want orchestration and consolidation delivered as a working system, then osFoundry is the more direct fit. dgm assesses your goals, recommends the right path for a US business, and implements it end to end.