shpyrd
Open-source PaaS on Kubernetes that deploys, secures, and monitors AI-built apps and agents from one CLI and dashboard.
At a Glance
To try the platform: apps that sleep when nobody uses them.
Engagement
Available On
Listed Oct 2026
About shpyrd
shpyrd is an open-source platform-as-a-service from shpyrd-io that takes apps built with AI tools and runs them online behind a sign-in. It provides a CLI and dashboard on top of Kubernetes, covering builds, releases, databases, logs, and metrics, and is available as a hosted cloud or as a self-run install. The repository marks its status as beta.
What It Is
shpyrd is a PaaS for deploying and operating applications and agents. It handles cluster bootstrap, buildpack and Dockerfile builds, releases and rollbacks, URLs with TLS, config vars, logs and metrics. Coding agents such as Claude Code, Codex, or Cursor can run the same CLI commands a person would, to deploy an app, read its logs, and roll back a bad release.
How Deployment Works
You create a project and run shpyrd deploy from a repository, from the working tree, or from a Git URL. Builds use Paketo buildpacks (Go, Node, Java, Python, Ruby, .NET, static) or a Dockerfile. Each change to code or config is a release that can be rolled back. Processes can be scaled and resized from a catalog of named instance sizes, and a shell or one-off command can be run in a running instance.
Databases, Access, and Operations
- Postgres (via CloudNativePG), Valkey/Redis caches, and persistent volumes live in the same project and are injected as connection variables such as DATABASE_URL and REDIS_URL.
- New projects require sign-in. Access is decided at the edge by team and role, and the app receives the user's identity in headers and a signed JWT, so it needs no sign-in code. A project can be set to public.
- Apps can sleep when idle and wake on a signed-in visit.
- Dashboard metrics cover throughput, p50/p95/p99 response time, CPU, and memory with release markers, alongside live logs and log drains.
- Teams, roles, API tokens, audit trails, per-project network policies, and nightly platform backups on cloud profiles are documented.
Setup Path
The local quick start requires Docker and macOS or Linux, and creates a kind cluster with the base stack. It has also run on Oracle Cloud (OKE). The platform is MPL-2.0 licensed, while an ee/ directory with enterprise features is under a separate license.
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Pricing
Free
To try the platform: apps that sleep when nobody uses them.
- 4 projects
- 2 CPU and 256 MiB in all
- Sleeps after 10 minutes idle
- Community support
- CPU, memory, storage and egress usage included
Self-hosted (open source)
shpyrd is open source under MPL-2.0 and runs on your own Kubernetes cluster; nothing to pay for that. The ee/ enterprise features need a separate license.
- MPL-2.0 licensed platform, CLI, dashboard
- Runs on your own Kubernetes cluster, laptop, AWS or Oracle Cloud
- ee/ enterprise features require an agreement and license for production
Starter
Pay for what runs, from $5 a month.
- Unlimited projects
- Sleeps after 15 minutes idle
- Custom domains
- Email support
- CPU $0.09 per core-hour used
- Memory $0.02 per GiB-hour reserved while awake
- Storage $0.17 per GiB-month
- Egress $0.05 per GiB
- Ceilings: CPU 16 cores, Memory 32 GiB, Storage 2048 GiB
Pro
For products in production.
- Custom sleep
- Daily backups
- Priority support
- SSO and audit logs
- CPU $0.075 per core-hour used
- Memory $0.01 per GiB-hour reserved while awake
- Storage $0.16 per GiB-month
- Egress $0.04 per GiB
- Ceilings: CPU 32 cores, Memory 64 GiB, Storage 4096 GiB
Business
For teams that run their business on it.
- Hourly backups
- Private network applications
- Support with an SLA
- VPC peering
- CPU $0.055 per core-hour used
- Memory $0.005 per GiB-hour reserved while awake
- Storage $0.15 per GiB-month
- Egress $0.035 per GiB
- No ceilings
Enterprise
For custom requirements: shpyrd in your own cloud, on your terms, with everything shpyrd cloud has.
- Sign-in through Google, Microsoft, GitHub or any OpenID Connect provider
- Apps and databases that sleep by themselves
- Costs per project, and drains to send them on
- The MCP server for AI assistants
Capabilities
Key Features
- Buildpack and Dockerfile builds
- Deploy from Git or local folder
- Releases and one-step rollback
- Automatic TLS URLs
- Built-in sign-in (Security Door) with team roles
- Postgres, Valkey/Redis and persistent volumes
- Automatic sleep and wake
- Metrics and logs with release markers
- Log drains
- Teams, roles, API tokens and audit trail
- Instance size catalog
- Global config vars
- Nightly platform backups on cloud profiles
- Agent-driven deployment via CLI