Verifiable Execution
Every task execution is cryptographically hashed and recorded for full auditability.
Execute workflows as structured graphs, observe every step, and verify results with immutable execution proofs.
[01] / Surface
Built one boundary at a time — clarity at the seams between trigger, execute, and verify.
Validate graphs, schemas, and ordering before anything runs.
Hashes, drift checks, and records you can verify via API.
BullMQ-backed runs with inline fallback where configured.
Contract-first APIs, SDKs, and streaming run logs.
GitHub, Slack, Jira, Stripe, and operational connectors.
Roles, sessions, and policy gates aligned with your IdP.
Watch a workflow pass through ingest, classification, policy checks, and proof anchoring.
{
"workflow_id": "example-workflow",
"context": {
"source": "pagerduty"
},
"inputs": {}
}System guarantees
Interfaces between stages—what crosses each boundary and what each node guarantees.
Execution contract
Typed handoffs · not just topology
// Cascades is a verifiable control plane ensuring AI workflows execute as defined with cryptographic audit trails.
Specify your workflow as a deterministic DAG with explicit schema validation.
Gate every node execution through policy checks, approvals, and execution state.
Persist immutable traces with per-task content hashing for zero-trust reviews.
RES: { status: "authorized", claim: "sre_lead_sig_validated" }
// System Specifications
Every task execution is cryptographically hashed and recorded for full auditability.
Validate dependencies, schemas, and execution order before a workflow run begins.
Runs execute through Redis/BullMQ workers when available, with inline fallback where configured.
Execute DAGs with explicit dependencies, retries, and task-level state transitions.
Compare enqueue-time definitions to live workflows and verify proof records through API endpoints.
Get started with our CLI tool or explore the dashboard.
Initialize WorkspaceCascades functions as the orchestration kernel. While external systems provide data, compute, and side effects, Cascades ensures the execution graph is respected, logged, and verified.
Standard workflow engines are execution-only. They lack the verifiable guarantees required for agentic integrity.
Opaque execution logs that cannot be cryptographically proven or audited in zero-trust environments.
Deterministic DAGs coupled with SHA-256 proof generation for every node transition.
Orchestration hub
Define workflows, execute across systems, observe state, verify outputs, and replay execution when needed.
Execution paths resolve predictably across nodes and branches.
Each step emits runtime state as the workflow progresses.
Outputs are recorded and can be replayed and validated.
Ingest an alert, classify severity, request approval, remediate, and anchor proof.
Research, outline, draft, fact-check, format, notify, and publish with gates.
Collect diffs, run policy checks, gather human sign-off, and record outcomes.
Normalize inbound events, enrich context, branch on risk, and notify owners.
Cascades connects external systems through API calls, webhooks, and workflow tasks documented in the integrations reference.
All integrations execute through verifiable workflow runs with structured logs and proof records.
Read Integration GuideExecution surface
Every run starts with a write—then you read the same execution back as it moves through PENDING, RUNNING, and terminal state over one HTTP surface.
Trigger workflows with a single request.
{
"workflow_id": "example-workflow",
"context": {},
"inputs": {}
}Observe state as it happens.
// Product updates, architectural deep-dives, and release milestones.
// Current branch: origin/main
Implementing SHA-256 anchoring for long-context retrieval...
2026-02-12Release notes for the core orchestration runtime...
// Scalable orchestration tiers for every stage of deployment.