AgentOS vs Gumloop
Gumloop makes AI automation genuinely accessible — a no-code canvas where an operations team builds AI-powered flows without waiting on engineering. AgentOS is an Enterprise AI Operating System: it exists for the moment those flows touch systems of record and someone asks on whose authority, and with what evidence.
Choose Gumloop to put AI automation in the hands of the people who know the work. Choose AgentOS when the automation becomes a workforce — agents acting on production systems, under policy, with an audit trail. The two aren’t rivals so much as different altitudes of the same climb.
For the security & risk owner
| Dimension | AgentOS | Gumloop |
|---|---|---|
| Agent identity | ✓ Every agent is a named principal in your directory; credentials issued per worker, never shared | ✗ Flows run under stored workspace credentials; attribution is to the flow |
| Delegated authority | ✓ Subject/actor chain on every hop; an orchestrator can never exceed the requester | ✗ Flows run with workspace-stored credentials; no delegated user identity is carried into an action |
| Authorization | ✓ Externalized OPA policy + SpiceDB relationship graph, fail-closed, enforced at the resource — not in prompt text | ◐ Custom roles and user groups restrict integrations, per-integration scopes, and which AI providers or models may be used (Enterprise); controls bind to users, not to a running flow |
| Human approvals | ✓ Durable platform primitive — survives restarts, waits days, lands in the audit ledger | ◐ Approval required before sensitive tool calls, showing the tool, its arguments and its intent — delivered in-app, by Slack DM or in the chat thread |
| 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 flows fire under stored credentials; nothing expires or re-checks |
| Cost governance | ✓ Per-action attribution, windowed quotas, budget envelopes that travel with delegated work | ◐ Credit-based usage with organization-wide real-time tracking, and budget and quota controls on Enterprise |
| Audit & evidence | ✓ Correlated governance-grade ledger — even a skipped scheduled fire is a record; SIEM export, evidence packs | ◐ Run history per flow; evidence assembly is on you |
For the platform architect
| Dimension | AgentOS | Gumloop |
|---|---|---|
| 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 | ✓ No-code canvas an ops team actually uses — the point of the product |
| Integrations | ◐ Governed connector layer — fewer connectors, every one policy-checked with provenance | ✓ Strong prebuilt integration library and AI steps |
| MCP | ✓ MCP servers as first-class governed connectors: brokered egress so no credential reaches the agent, per-caller tool visibility, per-principal OAuth binding | ◐ Connects to any MCP server over HTTPS plus 250+ hosted servers, in native or backend-connector mode; access scoped by user group and integration |
| Multi-agent | ✓ Open A2A mesh with authorization-bound edges; mutual TLS with SPIFFE-issued workload identities | ◐ Subflows compose; no authorization graph |
| Long-running work | ✓ Durable orchestration — workflows survive restarts mid-approval | — |
| Knowledge access | ✓ Tenant-scoped retrieval with provenance; the egress gate replays the requester's entitlement on the way out | ◐ Built-in RAG steps; scoping is DIY |
| Applications | ✓ Governed app registry — vertical apps launch same-domain with SSO, enabled per tenant, every enablement audited | ✗ Not an app platform |
| Deployment | ✓ Your Kubernetes, any cloud, federated to your IdP; first-class multi-tenancy | ◐ Managed SaaS, with VPC deployment into your own AWS, Azure or Google Cloud for Enterprise |
Where Gumloop is the right choice
- Empowering non-engineers — an ops team shipping its own automation this week beats a platform project next quarter.
- Speed from idea to running flow, with AI steps built in.
- Automations whose blast radius is a spreadsheet, an inbox or a Slack channel — not a system of record.
The honest architecture: Gumloop democratizes building automations; AgentOS governs the workforce they grow into. Teams often meet us the day a Gumloop flow needs to touch something an auditor cares about.
Questions prospects actually ask
AgentOS includes a no-code agent builder, but that’s a feature, not the product. The product is the governance plane underneath whatever your teams build — no-code here, code elsewhere — with identity, policy, approvals and audit that don’t care which canvas produced the agent.
Usually at the compliance boundary: an automation starts touching customer data or a system of record, and suddenly identity, approvals and evidence matter more than build speed. That’s the AgentOS row.
Conceptually yes — the governed connector layer exists precisely so external automation tools reach enterprise systems only through policy. Practically, evaluate against your actual flows.
Don't take a comparison table's word for it.
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