AgentOS vs Salesforce Agentforce
Agentforce puts capable agents where your CRM lives — grounded in Data Cloud, guarded by the Einstein Trust Layer, acting through Flow. For customer-facing work inside Salesforce it's compelling. AgentOS governs the whole workforce: the CRM agent and every agent that will never touch Salesforce, under one identity, policy and audit plane.
Choose Agentforce when the work lives in Salesforce — service, sales, CRM data. Choose AgentOS when the workforce is broader than any one suite, and you need authority, budgets and evidence that follow the agent across systems — not controls that stop at the org boundary.
For the security & risk owner
| Dimension | AgentOS | Salesforce Agentforce |
|---|---|---|
| Agent identity | ✓ Every agent is a named principal in your directory; credentials issued per worker, never shared | ◐ Agents act as a kind of Salesforce user — real, org-scoped identity |
| Delegated authority | ✓ Subject/actor chain on every hop; an orchestrator can never exceed the requester | ◐ Runs within the Salesforce sharing model; no open cross-vendor chain |
| Authorization | ✓ Externalized OPA policy + SpiceDB relationship graph, fail-closed, enforced at the resource — not in prompt text | ◐ Einstein Trust Layer + org permissions — their controls, their scope |
| Human approvals | ✓ Durable platform primitive — survives restarts, waits days, lands in the audit ledger | ◐ Approval steps via Flow |
| Scheduled autonomy | ✓ Standing authority that expires: permissions re-resolve at every fire, originators recertify every 30 days, and a target that drifted refuses to run | ◐ Scheduled/triggered flows; authority is connection-held, not expiring |
| Cost governance | ✓ Per-action attribution, windowed quotas, budget envelopes that travel with delegated work | ◐ Conversation/credit pricing visibility; no cross-vendor budgets |
| Audit & evidence | ✓ Correlated governance-grade ledger — even a skipped scheduled fire is a record; SIEM export, evidence packs | ◐ Event monitoring within Salesforce |
For the platform architect
| Dimension | AgentOS | Salesforce Agentforce |
|---|---|---|
| Build model | ✓ Build here or bring your own — a no-code builder and governed build service in the platform, plus any framework (LangGraph, CrewAI, plain code) over open contracts | ◐ Build in Agent Builder, on their runtime |
| Integrations | ◐ Governed connector layer — fewer connectors, every one policy-checked with provenance | ✓ Deep CRM surface plus MuleSoft reach — a real strength |
| MCP | ✓ MCP servers as first-class governed connectors: brokered egress so no credential reaches the agent, per-caller tool visibility, per-principal OAuth binding | ✓ Salesforce-hosted MCP servers GA since April 2026 — OAuth 2.0 + PKCE, per-user identity, a dedicated mcp_api scope — plus MCP partners in AgentExchange |
| Multi-agent | ✓ Open A2A mesh with authorization-bound edges; mutual TLS with SPIFFE-issued workload identities | ◐ Multi-agent within the org |
| Long-running work | ✓ Durable orchestration — workflows survive restarts mid-approval | ◐ Flow-based orchestration in-platform |
| Knowledge access | ✓ Tenant-scoped retrieval with provenance; the egress gate replays the requester's entitlement on the way out | ◐ Data Cloud grounding — strong for CRM data, bounded by it |
| Applications | ✓ Governed app registry — vertical apps launch same-domain with SSO, enabled per tenant, every enablement audited | ◐ AppExchange is an ecosystem — theirs, not a registry you govern |
| Deployment | ✓ Your Kubernetes, any cloud, federated to your IdP; first-class multi-tenancy | ✗ Salesforce's cloud only |
Where Salesforce Agentforce is the right choice
- Customer-facing agents grounded in CRM data — nobody knows Salesforce data like Salesforce.
- Service and sales teams already living in the platform.
- The Einstein Trust Layer, if your risk surface is bounded by the org.
The honest architecture: Agentforce is a strong resident of one ecosystem; AgentOS is the layer above ecosystems. Run Agentforce for CRM work — and give the rest of your workforce, and the boundary between them, a governance plane.
Questions prospects actually ask
For agents inside Salesforce, Agentforce governs. The question is everything else: engineering’s agents, other vendors’ agents, agents touching your ERP. AgentOS is the plane that covers all of them, Agentforce’s included, at the boundary.
Yes — through a governed connector, as a named principal, with the requester’s authority carried on the hop and the action landing in the audit ledger. That’s precisely the pattern the platform was built for.
Agentforce prices per conversation/credits inside its world. AgentOS attributes every action’s cost to worker, person, team and model channel across your whole estate — with budget envelopes that travel with delegated work.
Don't take a comparison table's word for it.
Forty-five minutes with an architect, on a live cluster — bring your hardest governance question and we'll answer it on running software.