# superplanehq/superplane

The open source control plane for agentic engineering.

Repository: https://github.com/superplanehq/superplane
Canonical: https://ross.abutalabs.com/products/superplane
Homepage: https://superplane.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: control-plane, devops, event-driven, kubernetes, release-automation, self-hosted, workflow-automation, automation, react, go, platform-engineering, python
Last push: 2026-08-26T23:11:40+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 95, longevity 34
- inputs: {"age_days": 483, "days_push": 7, "days_rel": 37, "gap_med": 1, "n_releases_24m": 60}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5548, forks 609 (observed 2026-08-28T04:09:22.123494+00:00)

## What it is
SuperPlane is an open source control plane and automation engine for AI-driven engineering, orchestrating workflows across Git, LLMs, CI/CD, observability, and infrastructure with durable, deterministic execution. It packages these processes as git-versioned apps with event-driven triggers, approvals, RBAC, and custom operational console dashboards.

## Use cases
- automate ai-driven code review of pull requests
- orchestrate multi-step release deployments with approvals and rollback
- coordinate coding agents to turn issues into reviewed pull requests
- build incident response workflows that page on-call and track resolution
- create self-service developer portals for infrastructure provisioning
- build live operational dashboards for DORA metrics and deployment health
- add human-in-the-loop guardrails to AI agent workflows

## When to choose
- you need durable, event-driven workflows too complex for a single script or CI job
- you want to safely scale AI coding agents with approvals, policy checks, and guardrails
- you want a self-hosted control plane for release automation and incident response
- you need to codify team engineering practices as executable, auditable workflows

## When to avoid
- you only need simple CI pipelines or cron-style scheduled scripts
- you require a fully stable product - it is in beta with possible breaking changes
- you want a lightweight single-binary tool without an orchestration engine

## Facets
- artifact type: application
- maturity: active
- function: workflow-automation, agent-framework, deployment, ci-cd, monitoring, webhook, scheduling, self-hosted, developer-tools
- domain: developer-tools, large-language-models
- platform: go, self-hosted, cross-platform, cli
- tags: control-plane, agentic-engineering, durable-execution, software-factory, event-driven-orchestration, human-in-the-loop, platform-engineering, release-automation, incident-response, rbac, devops, automation, ai-agents, react, kubernetes, docker

## Member repositories
- superplanehq/superplane (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.123494+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:55:40.253356+00:00, confidence not recorded.
  - readme: https://github.com/superplanehq/superplane (fetched 2026-08-28T04:09:22.123494+00:00, sha fcb6c7353999)
  - homepage: https://superplane.com (fetched 2026-08-29T08:50:55.546372+00:00, sha c8588ff2a386)
  - site_page: https://docs.superplane.com (fetched 2026-08-29T08:50:55.548846+00:00, sha 91b01411a900)
  - site_page: https://superplane.com/about-us (fetched 2026-08-29T08:50:55.550841+00:00, sha ec1afa7da09b)
- Data as of 2026-08-30T08:39:29.467469+00:00.