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Concrete projects that translate our patterns into running systems. Every build is advisory-first, auditable, and aligned with industrial safety boundaries.

Advisory-first Structured outputs Human-in-the-loop Deployment-minded

What you get

→Architecture diagrams with boundaries and approval points
→Configurable prompts + structured output schemas
→Runbooks for deployment in shadow mode
→Safety checks and audit logging patterns

Want early access? hello@agenticcontrol.dev

Project Library

Playbooks that map directly to our Agentic Workflows.

4 projects

🟡 Developer Published

TwinCAT Validator MCP

Deterministic validation and auto-fix for LLM-generated TwinCAT 3 PLC code.

Gives any LLM client (Claude Desktop, Cursor, VS Code) a safety net that guarantees generated TwinCAT code will import and compile.

Highlights

→ 34 structural, style, and OOP checks with zero external deps
→ 9 auto-fix operations in a deterministic, idempotent pipeline
→ 16 MCP tools including full orchestration loop with loop prevention

Python 3.11+ MCP SDK FastMCP TwinCAT 3

Live on GitHub — MIT License Advisory-first

→ View architecture breakdown

🟢 Technician Prototype

PLC Fault Dossier

Alarm log → structured incident dossier with evidence and mitigations.

Triage PLC faults with a repeatable, advisory-only workflow.

Highlights

→ Event-driven ingestion of alarm CSV exports
→ ReAct analysis with structured JSON outputs
→ Human review gates before recommendations ship

Python Astro Instructor OpenAI-compatible API

Ready to demo Advisory-first

Launch guide coming soon

🔵 System In Progress

Shadow Mode Monitor

Scheduled PLC code scans that never touch control — advisories only.

Detect drift in PLC code and surface diffs with human sign-off checkpoints.

Highlights

→ Scheduled jobs with audit logs
→ Structured diffs + recommended fixes
→ Operator acknowledgement trail

Python Node Cron/Temporal Supabase

ETA: Q1 Advisory-first

Launch guide coming soon

🟡 Developer Coming Soon

Coordinator Review Swarm

Multi-agent review across PLC, HMI, and safety layers.

Parallel review with consensus scoring for change requests.

Highlights

→ Coordinator-worker orchestration
→ Consensus + dissent report
→ Risk-based escalation paths

Python Typescript Open source MCP stack

ETA: Q2 Advisory-first

Launch guide coming soon

Build safely. Ship with confidence.

Tell us your PLC stack, constraints, and timelines. We will map you to a workflow, a project playbook, and a safe deployment path.

→ Request a walkthrough

Shadow-mode deployments only