Self-hosted control
Connect one or many StarBridge servers to keep repositories and processing where your policy requires: on-prem, regional cloud, or hybrid.
Sovereign Git Platform
StarGit for regulated engineering teams
Run Git operations, repository orchestration, and team workflows across your own infrastructure with a web control plane designed for sovereignty-first operations and auditability.
Sovereignty-oriented deployment model
EU AI Act workflow support
Multi-server orchestration
Git orchestration at scale
Queue and execute pull/push/fetch workflows, monitor execution status, and coordinate branches across distributed agents from a central dashboard.
Team workflows built-in
Use commit-centric collaboration, Kanban, runner pipelines, and repository insights without switching across disconnected tools.
Why StarGit
- Distributed repository hosting with server-level ownership and monitoring.
- Remote metadata tracking for branches, remotes, sync status, and queue-backed Git actions.
- StarBridge integration for local execution of Git operations and automation loops.
- Runners, webhooks, and API endpoints for CI/CD-oriented workflows.
- Optional AI assistance and commit analysis paths for on-prem or controlled environments.
Agentic AI, structured for engineering
StarGit treats Agentic AI as an engineering capability to govern: reviewable, attributable, and aligned with real software workflows.
Workflow agents with boundaries
Use agents inside explicit workflow steps for repository actions, queue-backed jobs, and repeatable execution paths.
Commit and diff intelligence
Generate commit suggestions, summarize diffs, and prepare clearer review context directly from repository state.
Security and code review support
Apply AI to code review, policy checks, and security analysis as a complement to human reviewers.
How StarGit approaches Agentic AI
- AI should reduce friction in engineering workflows without removing human accountability.
- Automation should stay attached to real repository context: commits, diffs, queues, runners, and approvals.
- Model choice should remain flexible: local, self-hosted, or external provider depending on policy and risk.
- Every AI-assisted step should be inspectable and easy to override.
- StarGit integrates Agentic AI into engineering operations, not as a detached chatbot layer.
StarBridge connection
StarBridge is the local agent that links your infrastructure to StarGit. It polls for tasks, executes Git operations, and reports health/status back to your workspace.
1
Install StarBridge
Deploy the agent on each server that owns repositories.
2
Register and link
Use your StarGit API key to register the server and attach it to your account/workspace.
3
Execute remote actions
Trigger pull/push/automation from the StarGit UI, routed via queue to StarBridge.
4
Observe continuously
Track health, poll cadence, runner activity, and repository state in StarGit dashboards.
StarBridge Launcher
Add your launcher screenshot at:
static/images/starbridge-launcher.png
The page is already wired to render it automatically.
Get started
1. Sign in and activate
Login to StarGit and access account/license controls.
2. Connect servers
Register StarBridge servers and map repository hosts.
3. Orchestrate Git
Run pull/push actions, inspect repository state, and monitor queues.
4. Add automation
Configure runner jobs and event-driven workflows.