Devgraph
Builds a live ontology of your code, infra and tools so AI and engineers can query the whole stack at once
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devgraph.aiAbout Devgraph
Devgraph builds a live ontology of an engineering organisation — the code, the infrastructure, the tickets, the people — so that AI tools and new hires can both answer questions that currently require asking the one person who knows. The ontology engine ingests from GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, Slack and PagerDuty, plus dozens more integrations and a flexible API for anything custom, and maps the relationships between them rather than just indexing their contents. Three uses follow from that graph. Search stops being per-tool: one query returns results spanning repositories, tickets, incidents and conversations instead of forcing a tab-switch through four systems. Change-impact analysis shows which services depend on what you are about to modify and which teams need warning, which is the difference between a planned rollout and a 3am page. And onboarding shortens, because a new engineer can ask who owns a service, what it depends on and how it deploys, and get a current answer from live systems rather than archaeology through a stale wiki. Tribal knowledge buried in Slack threads gets linked to the code and tickets it refers to, which is the documentation problem nobody solves by writing more documentation. Model choice is left open — OpenAI, Anthropic, xAI or self-hosted — with self-hosted and air-gapped deployments supported so data and models can both stay on your own infrastructure. Devgraph is a product of Arctir, Inc.
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Key Features
Devgraph Pros & Cons
✅ Pros
- +Relationship mapping beats another federated search box
- +Air-gapped deployment is rare in this category
- +Model-agnostic, so no provider lock-in
⚠️ Cons
- −Value depends on connecting a lot of systems first
- −Primary CTA is a demo rather than self-serve signup
- −$99/month floor before any of the graph exists
Who Is Devgraph Best For?
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