Knott.
Automation you can actually be accountable for.
Self-hosted, AI-powered workflow automation with human-in-the-loop decisions, a visual designer, real-time execution monitoring, and a full audit trail. The power of a modern orchestration platform, with every AI decision running locally and all data staying on your own infrastructure.
The premise
Automate the routine. Keep a human on the consequential. Record everything, with its justification.
Identification
- Designation
- RGN-02 · Knott
- District
- Sovereign Infrastructure
- Function
- Workflow Orchestration
- Source
- Open
Answers
“Every automated step has to survive an audit. Who approved this one?”
- 100% offline capable with local Ollama models
- Automatic escalation to human reviewers when AI confidence is low
- Only a single port exposed to the outside world
Live workflow example
The human enters when confidence falls.
Watch an invoice approval workflow: AI validates at 92% confidence (proceeds automatically), checks budget at 45% confidence (escalates to human review). Every decision logged, every escalation justified.
Node reference: 8 types
01
Trigger
API/webhook entry point: workflows start from real-world events, not just manual runs.
02
AI Decision
Confidence-scored, model-selectable decision step running on your chosen provider.
03
Human Task
Pauses for review or approval, with SLA tracking. Low AI confidence escalates here automatically.
04
Condition
Branches the run on expressions.
05
Tool Call
Real connectors: webhook, Slack, SendGrid, Twilio. Credentials come from environment variables, never the workflow definition.
06
Agent Call
Calls a registered external agent from the agent registry.
07
Parallel
Fan-out / fan-in across simultaneous branches.
08
End
Terminal outcome: Approve, Reject, Complete, or Escalate.
Surface area
Five services.
One port out.
In production, the Execution Engine is the single reverse proxy for everything else. Internal service ports stay bound to the host network. The outside world sees exactly one opening.
Workflow Registry
Execution Engine← the one exposed
AI Decision Engine
Human Task Service
Agent Integration
Choose your intelligence: switchable at runtime
Sovereignty
Ollama
Local models, fully offline, cost under control. No data egress. GPU recommended.
Determinism
Simulation
Rule-based fallback, always available. Deterministic runs for testing and demos.
On the record
- ⬡Every AI decision and human approval recorded with timestamp and justification
- ⬡Automatic escalation to human reviewers when AI confidence is low
- ⬡Connector credentials read from environment variables at runtime, never stored in a workflow definition
- ⬡Runs behind your reverse proxy; TLS and authentication terminate at your layer
- ⬡Runtime-configurable AI: switch providers and test connectivity with no restart
- ⬡Full light/dark theming, switchable per device
Next system
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