CodingDocumented overviewLast checked Oct 2, 2026

Devgraph.ai: Pricing, Features & Best Use Cases

Builds a live ontology of code, infrastructure and tools so AI assistants and teams can query how systems connect.

Who should use Devgraph.ai

Choose Devgraph if you want AI assistants and your team to query how code, infrastructure and tools connect, with plans starting at $99 per month and a 14-day trial. Based on the vendor's documentation, not on a hands-on test.

Best for: Platform and DevOps teams

Also a good fit for

  • Engineering orgs with many tools

Consider another tool if no pricing shown on the site

Or if

  • Requires connecting many tools to be useful
  • Account required to try it

Devgraph.ai pricing and usage limits

Prices checked Oct 2, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.

Devgraph.ai pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
The official Devgraph.ai pricing page as we saw it. devgraph.ai, captured Oct 2, 2026

Free access and trial conditions

None shown.

14-day free trial on Liftoff and Crew; 30-day on Enterprise.

Paid plans: what changes as you upgrade

Liftoff web

$99/mo source (opens in a new tab)

Month

For: Getting started

Limits

  • Up to 500 entities
  • Up to 2 users
1 more
  • Up to 5 MCP servers

Includes

  • 1 ontology and 1 environment
  • Bring your own model
1 more
  • 3 business day response

Crew web

$499/mo source (opens in a new tab)

Month

For: Team collaboration

Limits

  • Up to 2,500 entities
  • Up to 25 users
1 more
  • Up to 10 MCP servers

Includes

  • Bring your own model
  • 1 business day response

Enterprise web

Custom pricing source (opens in a new tab)

Unknown

For: Large organizations

Limits

  • Unlimited ontologies, environments, entities, users

Includes

  • On-premise options
  • Automatic backups
1 more
  • Custom SLAs

Usage caps, credits and extra costs

LLM costs under bring-your-own-model.

Not stated.

What is Devgraph.ai, and how does it work?

Devgraph connects developer tools such as GitHub, GitLab, Jira, Kubernetes, Grafana, Slack and PagerDuty and builds an ontology mapping relationships between code, systems and teams. Users can query it once instead of searching each tool. The site says it works with any LLM including OpenAI, Anthropic, xAI and self-hosted Ollama models, with self-hosted and air-gapped deployments, and offers an API for custom sources.

Devgraph.ai homepage — screenshot of the coding AI tool, Oct 2, 2026
Devgraph.ai's official site: how the product presents itself. devgraph.ai, captured Oct 2, 2026

What you provide and what you get back

How Devgraph.ai works: what you provide, where it runs and what you get backYOU PROVIDEYour inputConnected tools (GitHub, GitLab,…Questions in natural languageCODINGDevgraph.aiWebfrom $99/mo (Liftoff)no free tieraccount requiredchecked Oct 2, 2026YOU GET BACKThe resultService ownership and dependency…Impact viewsCross-tool search resultsinput → Devgraph.ai → output · from the vendor's own pages, no hands-on test unless stated
What you give Devgraph.ai and what comes back, from its documentation

You provide

  • Connected tools (GitHub, GitLab, Jira, Kubernetes, Slack, PagerDuty)
  • Questions in natural language

You get back

  • Service ownership and dependency answers
  • Impact views
  • Cross-tool search results

Where you can use it

Platforms
Web
Account
Required

What people use Devgraph.ai for

Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Find service owners and dependencies

Who
Platform and SRE teams
You provide
Connected dev tools
Expected result
Owners and dependencies of a service
Plan needed
Liftoff or Crew
Limitation
Needs tool connections source (opens in a new tab)

Assess what a change may break

Who
Engineers
You provide
Planned change
Expected result
Services and teams affected
Plan needed
Liftoff or Crew
Limitation
Accuracy depends on connected data source (opens in a new tab)

Onboard engineers

Who
New hires
You provide
Questions on ownership and deploy
Expected result
Instant answers
Plan needed
Liftoff or Crew
Limitation
Quality depends on ontology source (opens in a new tab)

What Devgraph.ai does, and where it stops

Devgraph.ai homepage — screenshot of the coding AI tool, Oct 2, 2026
Feature overview on the official site. devgraph.ai, captured Oct 2, 2026

Ontology built from connected tools

Maps code, infra and teams automatically Single view of the stack

Access: All plansLimit: Entity caps per plan source (opens in a new tab)

Cross-tool search

Query once across GitHub, Jira, Slack and more Less tab switching

Access: All plansLimit: Connector coverage varies source (opens in a new tab)

Dependency and impact view

Shows services affected by a change Safer deploys

Access: All plansLimit: Not a guarantee source (opens in a new tab)

Bring your own model

Use OpenAI, Anthropic, xAI or Ollama Control cost and privacy

Access: All plansLimit: You supply the model source (opens in a new tab)

Devgraph.ai: strengths and limits

Reasons to choose Devgraph.ai

Check before paying for Devgraph.ai

How to use Devgraph.ai for mapping service dependencies for safer deploys

Set up Devgraph.ai

  1. Open devgraph.ai and sign up
  2. Start the 14-day trial
  3. Connect GitHub, Jira and other tools as discovery providers
  4. Select your LLM provider

Example: mapping service dependencies for safer deploys

  1. Ask which services depend on a given service
  2. Review the dependency view
  3. Check which teams need alerts
  4. Note owners for the change

Review and export the result

  1. Compare results against your known architecture
  2. Check the entity count against plan limits
Example prompt suggested by our editors (not a recorded output of the product)
Which services depend on the payments API and who owns them?

Devgraph.ai API

Devgraph.ai pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
Plan comparison on the official pricing page. devgraph.ai, captured Oct 2, 2026

API access and separate billing

An API is available, billing not documented. Flexible API and MCP servers mentioned.

Privacy, data use and commercial rights

Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.

How your inputs and outputs are handled

Account data via Clerk, payments via Stripe, usage data collected.

Account deletion removes data from Clerk within 30 days; data kept as long as necessary.

Controls for business users

  • Self-hosted and air-gapped deployments stated
  • Automatic backups on Enterprise

Policies: devgraph.ai/privacy

Devgraph.ai alternatives by need

"Better suited" is based on documented features and pricing, not on a head-to-head test.

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    Devgraph.ai FAQ

    How much does Devgraph cost?

    Liftoff is $99/month, Crew $499/month and Enterprise is custom. source (opens in a new tab)

    Is there a free trial?

    Yes, 14 days on Liftoff and Crew and 30 days on Enterprise. source (opens in a new tab)

    Which LLMs can I use?

    OpenAI, Anthropic, xAI, Ollama or your own self-hosted model. source (opens in a new tab)

    Can it be self-hosted?

    The homepage states self-hosted and air-gapped deployments; Enterprise lists on-premise options. source (opens in a new tab)

    Does it train on my data?

    The fetched pages do not state this. source (opens in a new tab)

    Sources and review methodology

    Official sources and verification dates

    Not verified: Training use of data; Docs (page unavailable); Annual pricing; Full integration list; Enterprise pricing.

    How we documented and maintain this page

    Every fact about Devgraph.ai above comes from the 4 official pages listed here, last compared on Oct 2, 2026; we have not run Devgraph.ai ourselves, so it has no editorial score. How we check and re-check pages.

    Article updated Oct 2, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error