Comparison
Cordum vs Guild.ai
Pre-built SaaS integrations vs out-of-process control plane with scheduler and wire protocol.
Guild.ai launched 2026-04-29 as "the first control plane for AI agents," with pre-built integrations for GitHub, Jira, Slack, Notion, Zendesk, and Google services. Strongest fit for teams whose agents operate primarily against those SaaS surfaces.
Cordum runs out-of-process behind gRPC + mTLS, with a scheduler that dispatches to capability-matched worker pools and a wire protocol (CAP v2) that any worker can speak. Strongest fit for regulated industries, multi-tenant operators, and agents touching custom or proprietary systems.
The decision turns on integration shape. If your agents primarily touch common SaaS, Guild.ai removes weeks of integration work. If they touch internal systems and your buyer expects audit-boundary separation, Cordum is the architecture.
| Evaluation Area | Cordum | Guild.ai |
|---|---|---|
| Origin | Built from day one as an out-of-process control plane with a Safety Kernel, scheduler, workflow engine, and CAP wire protocol. Designed for regulated, multi-tenant, audit-grade deployments. | Launched 2026-04-29 as "the first control plane for AI agents." Distinguishing strength is breadth of pre-built integrations: GitHub, Jira, Slack, Notion, Zendesk, Google services, and others out-of-the-box. |
| Trust boundary | Out-of-process. Safety Kernel runs as a separate gRPC service behind mTLS. Compromise of the agent does not compromise the policy decision. | SaaS-first control plane with managed integration backends. Trust boundary depends on deployment model (managed vs self-hosted); audit-boundary separation is application-level, not architectural. |
| Integration model | Runtime-agnostic via CAP v2. Workers in any framework or language can be governed by speaking the protocol. Native MCP server/tool/resource/action policy granularity for tools. | Curated integrations to common SaaS targets. Strongest in environments where agents touch GitHub, Jira, Slack, Notion, Zendesk, and Google. Less flexibility for custom tools or proprietary internal systems. |
| Scheduler and orchestration | Built-in scheduler with capability-matched worker pools, stale job detection, pending replayer, Redis-backed job state. | Integration-centric orchestration. Less surface for custom workflow engines or worker pool semantics. |
| Policy granularity | Pre-dispatch ALLOW / DENY / REQUIRE_APPROVAL / ALLOW_WITH_CONSTRAINTS decisions. Tenant overlays for multi-tenant control plane operators. Ed25519-signed policy bundles, hot-reload, simulation mode. | Identity-and-access centric: every agent execution is governed, identity is enforced, access is controlled, actions are traceable. Granularity tightly coupled to the supported SaaS integrations. |
| Audit and compliance | Structured run timeline with policy decisions, approval records, state transitions, and evidence pointers. Audit data designed to ship to your existing SIEM. | Audit trail of integration calls and identity events. Strongest for compliance audits scoped to the supported SaaS surfaces. |
| Best fit | Regulated industries (financial services, healthcare, public sector), multi-tenant agent fleet operators, customer-managed infrastructure, agents touching custom or proprietary internal systems. | Engineering teams whose agents primarily operate against the supported SaaS surfaces and who value time-to-value via pre-built integrations. |
When to pick which
- Pick Guild.ai if your agents primarily operate against GitHub, Jira, Slack, Notion, Zendesk, and Google, and time-to-value via pre-built integrations is the leading buyer pain.
- Pick Cordum for regulated industries, multi-tenant fleet operators, customer-managed infrastructure, agents touching internal systems, or any deployment where audit-boundary separation matters.
- Use both when a Cordum-governed worker uses Guild.ai integrations for SaaS surfaces while Cordum handles trust-boundary-separated policy enforcement.
Related comparisons
Frequently Asked Questions
When does Guild.ai's pre-built integration coverage decisively win?
When your agents primarily operate against GitHub, Jira, Slack, Notion, Zendesk, and Google services, and integration time-to-value is the leading buyer pain. Guild.ai removes weeks of glue code in those scenarios.
Why does Cordum lead with out-of-process for regulated buyers?
Regulated industry auditors increasingly expect the policy decision to live outside the workload's process. The same logic that drove enterprise adoption of out-of-process secret managers and HSMs applies to agent governance: in-process enforcement can be bypassed when the workload is compromised; out-of-process enforcement survives because the policy engine has its own identity, its own logs, and its own failure domain.
Can Guild.ai and Cordum work together?
Yes. A Cordum-governed worker can use Guild.ai's pre-built integrations for SaaS surfaces while Cordum's Safety Kernel handles pre-dispatch policy enforcement at the orchestration boundary. The two layers serve different jobs: Guild.ai for integration breadth, Cordum for trust-boundary-separated control.
What if my agents touch proprietary internal systems, not common SaaS?
That favors Cordum. CAP is a runtime-agnostic wire protocol; any internal worker speaking CAP is governed identically to one touching SaaS. Guild.ai's strength is breadth on common SaaS, which is less helpful when the integrations are bespoke.
Out-of-process control plane built for regulated agents
See how Cordum runs the policy decision outside the agent's trust boundary, with audit evidence designed to leave the vendor.