If your business runs on Salesforce, Agentforce vs osFoundry is really a question of CRM-native depth vs provider-neutral breadth. Here’s the grounded comparison for an Indian company. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry, and does not resell Agentforce.)
At a glance
| Salesforce Agentforce | osFoundry | |
|---|---|---|
| What it is | Autonomous AI agents inside Salesforce CRM | Standalone model-neutral platform |
| Best when | You’re already on Salesforce + Data Cloud | You want provider-neutral AI across your stack |
| Pricing | Per-conversation ( | Usage-based, no per-seat fee |
| India residency | Hyperforce India local residency (since 2020) | Self-host in your own India cloud account |
| Models | Salesforce-managed | BYO key across providers + open models |
(Agentforce facts per Salesforce and SaaStr’s pricing analysis; Hyperforce India per Salesforce IN; osFoundry per osfoundry.io. Confirm current details with each vendor.)
Where Agentforce wins
If you’re already a Salesforce shop, Agentforce is hard to beat for CRM-centric agents: it’s grounded natively on Salesforce data and Data Cloud, uses the Atlas reasoning engine, ships prebuilt agents with guardrails, and deploys omnichannel. For automating sales and service flows inside Salesforce, that native grounding is a real advantage — and Hyperforce gives India local data residency (live since 2020), which matters for DPDP.
Where osFoundry fits
osFoundry is standalone and model-neutral. It isn’t tied to one CRM or one model vendor — you bring your own keys, route across providers, and build agents, internal apps and knowledge bases across any data source. If your AI needs span more than Salesforce (multiple systems, your own apps, model flexibility), or you want to avoid both CRM and single-model lock-in, osFoundry is the broader base. It’s a younger product with limited independent coverage, so validate against your needs (dgm’s job).
Pricing
Agentforce has three pricing models — roughly $2/conversation, Flex Credits (~$0.10/action, ~$500/100,000 credits), and per-user from $125/user/month — which gives flexibility but is famously complex to forecast. osFoundry is usage-based with no per-seat fee. Which is cheaper depends entirely on your agent volume and user count; dgm models both.
How dgm helps
dgm implements osFoundry for Indian businesses and is honest that, for a Salesforce-centric automation, Agentforce may be the better fit. Where you want provider-neutral AI across your stack, dgm sets up osFoundry with India residency via self-hosting, connects your systems, and keeps pricing transparent: $399 assessment, $3,999/month implementation, no per-seat fees (INR approximate; 18% GST for domestic clients). Explore the platform at osFoundry, or talk to dgm to decide which fits your stack.
General information, not legal advice. Vendor pricing and residency options change — verify at the time you evaluate.