Map the context your
AI actually needs
Build architecture and context maps that are easy for humans to read — and exported as structured YAML/JSON your LLMs can reason over.
Everything your context map needs
Typed nodes and connections
12 node types (Actor, System, Component, Data, Process, Control…) and rich edge metadata — action, mechanism, direction, boundary — so your maps describe the how and why.
AI-ready structured export
One-click YAML or JSON export in the ctxboard/v1 schema — nodes, connections, hierarchy, intent. Drop it straight into your LLM prompt or RAG pipeline.
Multiple boards
Create, rename, and switch boards within the app. Keep your microservices map, threat model, and process diagram separate and organised.
Secure, cloud-first persistence
Supabase backend with optional TOTP MFA and row-level security. Your boards save automatically and sync across your devices, with local-storage backup if you go offline.
Drill-in scopes
Drill into any Container to focus on what’s inside. Navigate nested architectures across unlimited levels without losing the big picture.
AWS and Azure icon packs
35 AWS and 25 Azure service icons built in, lazy-loaded so the app stays fast. Upload your own icons for any service not yet covered.
System & solution design
Map microservices, network zones, and data flows. Export to feed architecture review, LLM-assisted threat modelling, or IaC generation.
Rich prompt context
Give your AI assistant a structured, machine-readable description of your system — not a wall of text, but a typed graph it can reason over.
Attack surface & controls
Tag trust boundaries, protocols, and security controls inline. Export to drive automated threat modelling or security review checklists.
Shared mental models
Align engineering, product, and ops around one source of truth for how your systems actually work — not how you think they work.
Start mapping in seconds
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