Your unique context, mapped automatically
The Cortex Context Graph uses AI/ML to discover and map your entire engineering ecosystem, including services, dependencies, and more, into a connected knowledge layer that powers smarter automation, sharper agents, and faster humans.
"You can look at other products, but you're not going to find anything that's going to match the flexibility and the speed that you can get things up and running."
Wendell Hutchinson
SRE
Where all your engineering signals come together
Context Graph draws from across your entire engineering ecosystem to build a complete, connected picture.
Services & Resources
Ownership & teams
Dependencies & relationships
Maturity & standards
Incidents & reliability
Deploys & changes
Unlike generic catalogs that only know what you manually tell them, the Context Graph continuously learns from your connected tools: filling gaps, resolving conflicts, and keeping data fresh.
Every decision is only as good as its context
Your engineering organization runs on context that lives across dozens of tools, and none of them talk to each other. The Context Graph changes that.
Connect the signals
Context Graph draws from version control, CI/CD, incident management, cloud infrastructure, identity providers, and more. It starts building the picture the moment you connect your first integration.
Automatically map the full picture
Services, dependencies, ownership, and maturity are continuously discovered and connected into a queryable knowledge layer.
Fill in the gaps with AI-suggestions
The Context Graph suggests the right owners and aligns them with existing team data.
Power every decision
AI agents, automation, and engineering leaders all reason against the same graph. The intelligence compounds with every integration you connect and every decision your teams make.
To form a single pane of glass into your organization
AI agents that actually understand your context
Context Graph is what makes Cortex's AI different from a generic LLM bolted onto your stack. When the AI Chief of Staff identifies a bottleneck, when the MCP answers "who owns this service?", when a Workflow triggers based on a maturity gap, they're all reasoning against the Context Graph.
Scorecards and Initiatives grounded in real data
Standards are only as good as the data behind them. Context Graph automatically connects Scorecard rules to live signals from your tools, so production readiness checks pull from real deploy data, security compliance reflects actual configs, and maturity scores update without anyone chasing spreadsheets.
Automation that knows the full picture
Cortex Workflows can act on any signal in the graph, triggering scaffolding when a new service is detected, routing migration tasks based on dependency chains, or escalating when a team's maturity drops below threshold. Context Graph is the difference between dumb automation and intelligent orchestration.
Built for the agent era
AI coding assistants need the same context your human engineers do to operate safely at scale: ownership, standards, dependencies, runbooks. Context Graph gives them that context natively, through the Cortex MCP and Cortex AI Assistant. The result: agents that write code and follow your golden paths.
Go live with Cortex in days.
We’ve automated the set up so you can focus on driving operational maturity, reliability, and efficiency.
See how Context Graph maps your engineering ecosystem
Additional resources
Subscribe to our blog and be the first to know about the latest updates, features in Cortex.
