Devgraph is an AI DevTool that builds a live ontology of your code, infrastructure, and tools, enabling both AI and your team to understand what is actually running.

Devgraph is designed for software engineers and development teams who need to connect various systems, onboard new engineers quickly, and gain insights into their codebase and infrastructure.

What can I do with Devgraph?

With Devgraph, you can connect everything into one ontology, perform impact analysis in seconds, and automate complex workflows by integrating AI agents with your systems.

How much does Devgraph cost?

Devgraph publishes a freemium pricing model with tiers including Liftoff, Crew, and Enterprise, which offer varying levels of ontology and entity limits.

How is Devgraph different from alternatives?

Devgraph differentiates itself by providing a real-time ontology that integrates with various tools, allowing AI to understand your specific environment and enhancing collaboration among teams.

Does Devgraph have a free trial?

Check Devgraph's site for current trial availability.

Devgraph

Your AI Can't Understand Your Systems...Until Now

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Data updated Jul 6, 2026 · Traffic data: SimilarWeb (estimated)

About Devgraph

Devgraph builds a live ontology of your code, infrastructure, and tools so AI and your team can finally understand what's actually running.

Quick facts about Devgraph

Devgraph is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at devgraph.ai.

The Relve catalog tracks 500+ live tools in AI Engineering Tools. Devgraph is part of the editorial tracking surface, with a Domain Rating of 24 on Ahrefs' authority scale.

Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Devgraph head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Devgraph on a rolling 24-hour cycle (last updated Jul 6, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Ontology Management

Real-Time Ontology

Every code change, ticket update, and deployment automatically updates your ontology. This ensures that when you ask questions, you receive current answers based on the latest information, rather than relying on outdated documentation.

Connect Everything Into One Ontology

Devgraph's ontology engine maps relationships between your code, systems, and teams. This integration allows AI tools to understand how everything connects in real-time, enhancing collaboration and efficiency.

Build Your Ontology From Any Source

Devgraph automatically builds a custom ontology from your entire stack by connecting to various tools. This feature simplifies the integration process and ensures that all relevant information is captured in one place.

AI Interaction

AI That Actually Knows Your Environment

When you ask questions like 'Why is checkout failing?', Devgraph provides answers grounded in your actual codebase, recent deploys, and team discussions. This feature eliminates generic responses and offers insights tailored to your specific environment.

Built for AI Agents

Devgraph supports the Model Context Protocol (MCP), allowing AI agents to query the ontology to understand your systems before taking action. This capability enhances the effectiveness of AI-driven tasks and decision-making.

Bring Your Own Model

Devgraph allows you to use any large language model (LLM) you prefer, including OpenAI, Anthropic, or self-hosted models. This flexibility gives you control over cost, privacy, and performance while integrating seamlessly with your workflows.

Workflow Optimization

Impact Analysis in Seconds

This feature enables you to see which services depend on the code you're about to change, allowing you to notify the relevant teams before deployment. It helps prevent unexpected production issues by providing critical insights quickly.

Automate Complex Workflows

By connecting AI agents to Devgraph, you can automate actions such as creating tickets, triggering deployments, and updating documentation. This capability allows for streamlined operations as AI understands your systems and permissions.

Onboard Engineers 10x Faster

New engineers can quickly find answers to questions like 'Who owns this service?' with instant access to relevant links, recent changes, and related documentation. This feature significantly reduces the time spent on onboarding.

Catch Up on What Changed Overnight

This feature provides summaries of deployments, incidents, and decisions that affected your services, allowing distributed teams to stay informed without sifting through numerous Slack threads.

Knowledge Management

Living Documentation

Instead of relying on outdated wikis, Devgraph provides real-time context directly from your systems. This ensures that documentation is always current and relevant, enhancing knowledge sharing within the team.

Untangle Tribal Knowledge

This feature surfaces decisions made in Slack and links discussions to relevant code and tickets. It helps in capturing and organizing knowledge that might otherwise remain siloed within teams.

Systems Intelligence

Devgraph provides insights into dependencies, ownership, and changes across your environment. This feature enhances understanding and visibility into how different components interact within your systems.