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GitLab Orbit: AI Agents with Full DevSecOps Context

Gitlab
10/04/2026
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The richer the context, the sharper the output. GitLab Duo Agent Platform first delivered a unified data model for agents across the software lifecycle. This is the next step. Introducing GitLab Orbit. Orbit connects code, pipelines, deployments, security findings, and production signals into a real-time context graph. Your agents get smarter, faster. It's your software in higher resolution, same system, far more detail, far more connections your agents can act on. Agents trace those connections from a vulnerable library to every service it touches, from a code change to the pipeline that validates it. Built within your GitLab instance, the graph is live from day one. No instrumentation project. No integrations to stand up. First-party context, ready to use. In agentic chat, ask a question in plain language. Get an answer drawn directly from your real-time source of truth. In the data explorer, trace a change from commit to pipeline and see what your agents see. One path, one picture. Orbit is open to any agent, GitLab native, custom, or external, all connecting through the same MCP tools and REST APIs. The richer context means your agents make better decisions on the first try with fewer wasted runs, with the knowledge of your security posture. GitLab Orbit. This is what software development looks like when agents have the full picture.

TL;DR

  • GitLab Orbit is a real-time context graph that unifies code, pipelines, deployments, security findings, and production signals to give AI agents complete software lifecycle visibility.
  • The graph is built natively into GitLab with zero instrumentation required, making first-party context available immediately from day one without additional setup.
  • Orbit supports GitLab-native agents, custom integrations, and external models through shared MCP tools and REST APIs, making it open to any agent architecture.

Summary

GitLab Orbit is a real-time context graph built natively into the GitLab platform that gives AI agents unified, high-resolution visibility across the entire software development lifecycle. By connecting source code, CI/CD pipelines, deployments, security findings, and production signals into a single graph, Orbit enables agents to trace relationships — such as a vulnerable library to every service it affects, or a code commit to the pipeline that validates it — without requiring any additional instrumentation or third-party integrations. The graph is live from day one, providing first-party context immediately. Orbit exposes this context through agentic chat with plain-language queries, a data explorer for visual tracing, and open APIs including MCP tools and REST endpoints that support GitLab-native agents, custom agents, and external models alike. The core promise is that richer, unified context reduces wasted agent runs and produces more accurate outputs on the first attempt, grounding every agent decision in a single source of truth across the full DevSecOps lifecycle.

Chapters

0:00 - Introducing GitLab Orbit
0:34 - Context Graph & Relationship Tracing
1:03 - Plain Language Queries & Data Explorer
1:20 - Universal Agent Integration & APIs

Key Quotes

0:03 "The richer the context, the sharper the output."
0:52 "Built within your GitLab instance, the graph is live from day one. No instrumentation project. No integrations to stand up. First-party context, ready to use."
1:30 "The richer context means your agents make better decisions on the first try with fewer wasted runs, with the knowledge of your security posture."

FAQ

Does GitLab Orbit require additional setup or third-party integrations?

No. Orbit is built natively within your GitLab instance and requires no instrumentation project or integrations to stand up. The context graph is live from day one.

Can Orbit be used with AI agents outside of GitLab's own ecosystem?

Yes. Orbit is open to GitLab-native agents, custom agents, and external models, all connecting through the same MCP tools and REST APIs.

Categories:
  • » Data Management
  • » Data Management » DevOps
  • » Cybersecurity » Application Security
  • » Data Protection
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  • DevSecOps
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  • AI agents
  • DevSecOps context graph
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