Devgraph.ai

Freemium

An ontology engine that maps developer tools into a live knowledge graph to ground LLMs and unified search.

Devgraph.ai is an ontology engine that maps developer tools, code, and infrastructure into a live knowledge graph. It provides unified search across platforms like GitHub and Jira while identifying service dependencies to prevent deployment failures. The tool is designed for engineering teams and new hires to gain instant visibility into system ownership and technical relationships. (verified: 2026-01-29)

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

Engineering teams mapping service dependencies to identify potential system failures before deploying new code changes (verified: 2026-01-29), New developers onboarding to complex codebases by querying the knowledge graph for ownership and dependency information (verified: 2026-01-29), DevOps professionals performing unified searches across GitHub, Jira, Slack, and PagerDuty from a single interface (verified: 2026-01-29)

Strengths

The ontology engine automatically maps relationships between code, infrastructure, and teams to provide real-time system visibility (verified: 2026-01-29), Extensive integration support connects data from GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, and Slack (verified: 2026-01-29), The platform provides a flexible API and Model Context Protocol (MCP) server support for custom tool integration (verified: 2026-01-29)

Limitations

The Liftoff plan restricts usage to a single environment and a maximum of 500 entities (verified: 2026-01-29), User access is limited to two individuals on the entry-level tier and twenty-five on the mid-tier plan (verified: 2026-01-29)

Last verified

Jan 29, 2026

Strengths

  • The ontology engine automatically maps relationships between code, infrastructure, and teams to provide real-time system visibility (verified: 2026-01-29)
  • Extensive integration support connects data from GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, and Slack (verified: 2026-01-29)
  • The platform provides a flexible API and Model Context Protocol (MCP) server support for custom tool integration (verified: 2026-01-29)

Limitations

  • The Liftoff plan restricts usage to a single environment and a maximum of 500 entities (verified: 2026-01-29)
  • User access is limited to two individuals on the entry-level tier and twenty-five on the mid-tier plan (verified: 2026-01-29)

FAQ

How does Devgraph.ai help engineering teams understand their system dependencies?

Devgraph.ai builds a live ontology that maps the relationships between code, infrastructure, and teams. This allows developers to see which services depend on specific changes and identify which teams require alerts before a deployment occurs (verified: 2026-01-29).

What specific integrations are available for building the developer tool knowledge graph?

The platform connects to various sources including GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, Slack, and PagerDuty. It also offers a flexible API for users who need to build custom integrations for their specific stack (verified: 2026-01-29).

What are the primary differences between the Liftoff and Crew pricing tiers?

The Liftoff plan supports up to 500 entities and 2 users, while the Crew plan increases these limits to 2,500 entities and 25 users. Both plans require users to bring their own model and offer a 14-day free trial (verified: 2026-01-29).