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SPECIFICTION
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Phobos

phobos.martian-cloud.io

WebLinuxAPISelf-hosted

What it is

Phobos is a free, open-source, self-hosted platform for release orchestration and deployment pipeline automation. Teams define versioned templates in HashiCorp Configuration Language and semantic versioning. Stages run sequentially, while tasks and nested pipelines within a stage can run in parallel. Release lifecycle pipelines coordinate deployments across environments, and separate runbooks automate maintenance or security scans without a release attachment. Jobs run on customer infrastructure in containers or through a shared agent pool, with tags matching agents to requirements. GitHub and GitLab connect through OAuth or personal access tokens. Role-based access controls, service accounts with OIDC federation, and approval rules govern users, machines, and deployment triggers. Custom plugins and a registry extend integrations and task actions. GraphQL and gRPC APIs, including GraphQL subscriptions, support integration and live updates. Health monitoring, sessions, and logs aid agent troubleshooting. The CLI can trigger pipelines, validate and upload templates, and use the plugin registry. Nested pipelines are limited to 10 levels, and deployment pipelines cannot create other deployment pipelines.

Spec sheet

Purpose
Phobos is an open-source, self-hosted platform for release orchestration and deployment pipeline automation.Read 5 Oct 2026 · phobos.martian-cloud.io
Product
Phobos is a release orchestration and management platform for automating deployment pipelines.Read 5 Oct 2026 · phobos.martian-cloud.io
API
The platform supports GraphQL and gRPC APIs, and GraphQL subscriptions for live event-driven updates.Read 5 Oct 2026 · phobos.martian-cloud.io
Integrations
The homepage says Phobos connects GitHub and GitLab repositories so pipelines can access files without uploading them as release assets.Read 5 Oct 2026 · phobos.martian-cloud.io
Maker
The site footer identifies Infor as the publisher.Read 5 Oct 2026 · phobos.martian-cloud.io
Access control
Phobos supports machine-to-machine authentication with service accounts and role-based access control for users and service accounts.Read 5 Oct 2026 · phobos.martian-cloud.io
Access controls
Phobos provides role-based access control for users and service accounts, plus approval rules for governing deployment triggers.Read 5 Oct 2026 · phobos.martian-cloud.io
Agents
Jobs can run on users’ own agents or a shared agent pool, and agents can be tagged to match job requirements.Read 5 Oct 2026 · phobos.martian-cloud.io
APIs
The documentation lists GraphQL and gRPC API support.Read 5 Oct 2026 · phobos.martian-cloud.io
CLI
The Phobos CLI can trigger pipelines, validate and upload templates, and interact with the plugin registry.Read 5 Oct 2026 · phobos.martian-cloud.io
Deployment setup
The quickstart requires a running Phobos instance and an installed, configured CLI; it points to Docker setup as the quickest option.Read 5 Oct 2026 · phobos.martian-cloud.io
Execution agents
Agents can run jobs and releases on customer infrastructure in containers, with tags to match agents to job requirements.Read 5 Oct 2026 · phobos.martian-cloud.io
Extensibility
Custom plugins and a plugin registry let teams extend Phobos with integrations and task actions.Read 5 Oct 2026 · phobos.martian-cloud.io
Open source and hosting
The documentation describes Phobos as open source and self-hosted.Read 5 Oct 2026 · phobos.martian-cloud.io
Pipeline definitions
Users define release processes in HashiCorp Configuration Language (HCL).Read 5 Oct 2026 · phobos.martian-cloud.io
Pipeline execution
Pipeline stages run sequentially, while tasks and nested pipelines within a stage can run in parallel.Read 5 Oct 2026 · phobos.martian-cloud.io
Pipeline limit
Nested pipelines support up to 10 levels, and deployment pipelines cannot create other deployment pipelines.Read 5 Oct 2026 · phobos.martian-cloud.io
Plugins
Phobos supports custom plugins and provides a registry to discover and install plugins.Read 5 Oct 2026 · phobos.martian-cloud.io
Release management
Release lifecycle pipelines coordinate deployment pipelines across environments and are generated when a release is created.Read 5 Oct 2026 · phobos.martian-cloud.io
Release monitoring
The platform provides agent health and activity monitoring, deployment metrics, and organization- or project-level activity events.Read 5 Oct 2026 · phobos.martian-cloud.io
Release workflows
Phobos supports pipeline orchestration, versioned releases, deployment approvals, and environment-specific releases.Read 5 Oct 2026 · phobos.martian-cloud.io
Runbooks
Runbook pipelines can automate work such as maintenance or security scans without being tied to a release or environment.Read 5 Oct 2026 · phobos.martian-cloud.io
Service authentication
Service accounts use OIDC federation for machine-to-machine authentication and can be scoped to an organization or project.Read 5 Oct 2026 · phobos.martian-cloud.io
Templates
Users can upload and manage pipeline and release templates.Read 5 Oct 2026 · phobos.martian-cloud.io
Troubleshooting
Agent health and activity can be monitored, and agents include sessions and logs for diagnosing issues.Read 5 Oct 2026 · phobos.martian-cloud.io

Strong points and limits

Strong points

  • Open-source and self-hosted
  • Supports GitHub and GitLab repositories
  • Runs jobs on customer or shared agents
  • Includes role-based access and approvals
  • Provides GraphQL and gRPC APIs

Limits

  • Nested pipelines stop at 10 levels
  • Deployment pipelines cannot create deployment pipelines
  • Requires a running instance and configured CLI
  • Container agents and infrastructure require setup

Who it suits

Phobos suits teams that want self-hosted release workflows, environment promotion, approvals, and deployment automation. It is aimed at organizations able to operate a Phobos instance and configured CLI.

Verdict

Phobos covers versioned releases, approvals, agents, integrations, and operational monitoring in a self-hosted model. Its nesting rule and deployment-pipeline restriction matter when designing complex workflows.

Where Specifiction places it

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