# GitHub + GitLab integration > Automate code syncing, issue tracking, and CI/CD pipelines across both platforms — no manual effort required. **Canonical page:** https://tray.ai/connectors/github-gitlab-integrations/ **GitHub connector:** https://tray.ai/connectors/github-integrations/ **GitHub documentation:** https://tray.ai/documentation/connectors/service/github **GitLab connector:** https://tray.ai/connectors/gitlab-integrations/ **GitLab documentation:** https://tray.ai/documentation/connectors/service/gitlab ## Overview GitHub and GitLab are two of the most widely used platforms in modern software development, and many engineering teams run both at once — for open-source contributions, enterprise compliance, or multi-team collaboration. Keeping repositories, issues, merge requests, and pipelines in sync across both platforms by hand is error-prone and slow. With tray.ai connecting GitHub and GitLab, teams can automate cross-platform workflows, cut out duplication, and maintain a single source of truth across their entire development environment. Engineering teams working across GitHub and GitLab hit the same coordination wall constantly: code changes, issues, and CI/CD events in one platform don't automatically reach the other. That disconnect leads to missed deployments, duplicated issue threads, and repository mirrors that drift out of date. Connecting GitHub and GitLab through tray.ai closes these gaps with real-time, bidirectional data flows between the two platforms. Whether your team uses GitHub for open-source work and GitLab for internal pipelines, or you're mid-migration from one to the other, pull requests, issues, commits, pipeline statuses, and releases stay coordinated — so every developer, DevOps engineer, and project manager has full visibility regardless of which platform they work from. ## Use cases ### Bidirectional Repository Mirroring Automatically mirror commits and branches from GitHub repositories to GitLab and back, so both platforms always reflect the latest code. Teams that contribute on GitHub but run CI/CD pipelines on GitLab can drop the manual push step entirely. Both remotes stay in sync without developer intervention. - Eliminate manual git push commands to secondary remotes - Ensure GitLab CI/CD pipelines always run on the latest GitHub code - Support distributed teams who prefer different platforms ### Cross-Platform Issue and Ticket Synchronization When an issue is created or updated in GitHub Issues, automatically create or update a matching issue in a GitLab project, and keep status changes, labels, and comments in sync in both directions. This is especially useful for teams managing customer-facing work on GitHub while tracking internal engineering tasks on GitLab. No ticket gets lost regardless of which platform a team member checks. - Maintain a consistent view of work items across both platforms - Reduce duplicate communication and context-switching for developers - Preserve issue history and comments during platform migrations ### Unified CI/CD Pipeline Status Notifications Aggregate pipeline and build status events from both GitHub Actions and GitLab CI into a single notification stream, alerting the right team members when builds fail, succeed, or need approval. Teams managing microservices split across both platforms get a unified view of deployment health without logging into two dashboards. That speeds up incident response and cuts mean time to recovery. - Centralize build and deployment status across both platforms - Trigger downstream workflows when pipelines complete on either platform - Reduce context-switching for DevOps engineers monitoring multiple pipelines ### Pull Request and Merge Request Cross-Platform Tracking When a pull request is opened or merged on GitHub, automatically create a corresponding tracking record or linked issue on GitLab to keep project managers and leads informed. GitLab merge request events can also trigger status updates on connected GitHub issues. Code review activity stays visible across platforms without requiring anyone to monitor both. - Give project leads cross-platform visibility into code review progress - Automate status updates tied to merge request lifecycle events - Reduce the risk of releasing code that hasn't been reviewed on both sides ### Repository Migration Automation Automate staged repository migrations from GitHub to GitLab (or the reverse), transferring issues, labels, milestones, and wikis through structured tray.ai workflows. Migrations that would take weeks of manual scripting can be run as repeatable, auditable workflows instead. Teams can migrate in batches, validate data integrity at each step, and roll back if something goes wrong. - Reduce migration time from weeks to hours with automated orchestration - Maintain full audit trails of migrated assets and their mapped equivalents - Run phased migrations without disrupting active development work ### Release and Tag Synchronization When a new release or tag is published on GitHub, automatically create a matching release entry on GitLab so changelogs, release notes, and version tags stay consistent across both platforms. This matters most for open-source projects that distribute packages from GitLab while maintaining a public GitHub presence. Both communities get the same information with no manual duplication. - Keep release notes and changelogs consistent across both platforms - Notify downstream consumers on both platforms simultaneously - Eliminate manual tag creation on the secondary platform ### Security Vulnerability Alert Routing When GitHub Dependabot or GitLab's security scanning detects a vulnerability, automatically create a high-priority issue on the opposite platform and notify the relevant engineering team. Security teams monitoring one platform get immediate awareness of vulnerabilities flagged on the other. Faster routing means faster patching and shorter exposure windows. - Ensure security alerts are never siloed to a single platform - Automatically assign vulnerability issues to the correct engineering owner - Shorten time-to-remediation with instant cross-platform alerting ## Templates ### GitHub to GitLab Repository Mirror Sync Automatically detects push events on a GitHub repository via webhook and triggers a mirror update on the corresponding GitLab repository, keeping branches and commit history in sync in near real-time. Connectors used: GitHub, GitLab ### Sync GitHub Issues to GitLab Issues Bidirectionally Listens for issue creation and update events on GitHub and creates or updates matching issues in a designated GitLab project, then does the same in reverse — keeping labels, assignees, and state in sync. Connectors used: GitHub, GitLab ### Cross-Platform CI/CD Build Status Aggregator Captures pipeline completion events from both GitHub Actions and GitLab CI and routes consolidated status notifications to Slack or email, giving DevOps teams one place to check build health. Connectors used: GitHub, GitLab ### GitHub Release to GitLab Release Publisher When a new GitHub release is published, automatically creates a matching release on GitLab with the same tag name, release notes, and asset links — no manual duplication of release communications. Connectors used: GitHub, GitLab ### GitLab Merge Request Status to GitHub Issue Updater When a GitLab merge request is opened, approved, or merged, automatically updates the linked GitHub issue with a status comment and label change, keeping project tracking in GitHub current without manual updates. Connectors used: GitHub, GitLab ### Security Vulnerability Cross-Platform Issue Creator When a Dependabot alert fires on GitHub or a security scan completes on GitLab, automatically creates a high-priority issue on the opposite platform and assigns it to the designated security team, so no vulnerability goes untracked. Connectors used: GitHub, GitLab ## Challenges Tray.ai solves ### Divergent Data Models Between GitHub and GitLab GitHub and GitLab use different terminology and data structures for the same concepts — GitHub has Pull Requests, GitLab has Merge Requests; GitHub uses Checks, GitLab uses Pipelines. Mapping these fields accurately without losing metadata requires deep platform knowledge and ongoing maintenance as both APIs evolve. **How Tray.ai helps:** tray.ai's visual workflow builder includes a flexible data transformation layer that lets teams map and normalize fields between GitHub and GitLab schemas without writing custom scripts. When either API changes, workflows can be updated through the visual interface rather than requiring a developer to rewrite integration code. ### Webhook Reliability and Event Deduplication Bidirectional syncs between GitHub and GitLab can create infinite loops — an issue updated in GitHub triggers a GitLab update, which fires another webhook back to GitHub. Without deduplication logic, data corruption and runaway API usage are real risks. **How Tray.ai helps:** tray.ai has built-in conditional logic and state management that lets teams tag synced records with origin markers, preventing circular updates. Workflow conditions can check whether a change originated from tray.ai before triggering outbound events, breaking the loop reliably without custom middleware. ### Authentication and Token Management Across Both Platforms Maintaining valid, appropriately scoped personal access tokens or OAuth credentials for both GitHub and GitLab across development, staging, and production environments introduces security and operational overhead that grows with team size. **How Tray.ai helps:** tray.ai centralizes credential management through its secure connections vault, so teams can store and rotate GitHub and GitLab tokens in one place. Role-based access controls ensure only authorized workflows can use specific credentials, reducing the risk of token sprawl or unauthorized access. ### Rate Limiting During Bulk Migrations or Syncs Bulk repository migrations and backfill syncs can quickly exhaust GitHub's and GitLab's API rate limits, causing partial migrations, failed syncs, and data gaps that are hard to diagnose. Managing rate limit headers and retry logic across two different APIs is genuinely complex to build and maintain. **How Tray.ai helps:** tray.ai includes native rate limit awareness and configurable retry logic with exponential backoff, so bulk operations pause and resume gracefully when API limits are hit. Teams can also schedule large sync operations during off-peak hours using tray.ai's built-in scheduling. ### Keeping Integrations Current as APIs Evolve Both GitHub and GitLab release frequent API updates, deprecate endpoints, and introduce new features. Custom integration scripts often break silently when APIs change, and sync failures go unnoticed until a developer manually checks the secondary platform. **How Tray.ai helps:** tray.ai maintains and updates its GitHub and GitLab connectors as their APIs evolve, so teams aren't responsible for tracking API changelogs or rewriting integration logic after deprecations. Built-in error handling and alerting surface failures immediately, and tray.ai's support team sends proactive notifications when connector updates are available. ## Learn more - Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/ - Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/ - Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/ - Book a demo: https://tray.ai/contact/