Regen v1.0 roadmap — migration tools, MCP server, and the path to GA #57
singret
announced in
Announcements
Replies: 0 comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
What we are building toward v1.0
We shipped v0.11.0 last week. Here is what we are working toward for v1.0 GA, currently targeting late July 2026.
This is our public OSS roadmap — sharing it here so the community can see what is coming, flag what matters most, and help us test as things land.
The opportunity we are building for
Grafana OnCall is being archived in March 2026. Around 50,000 self-hosted teams need a new home. At the same time, PagerDuty and Opsgenie cost $30–50/user/month — $120k/year for a 200-person engineering org. The case for a self-hosted, fully featured, permanently free alternative has never been stronger.
Regen already covers the full lifecycle: alert ingestion (Prometheus, Grafana, CloudWatch, generic webhooks) → on-call schedules + escalations → incident coordination → Slack/Teams sync → AI summaries + post-mortems. v1.0 is about making all of that polished enough that any team can adopt it in under 15 minutes.
What is landing in v1.0
1-click migration from PagerDuty and Opsgenie
The biggest blocker for adoption is migration friction. We are building CLI-based importers that pull your schedules, escalation policies, and service mappings in one command:
Dry-run shows exactly what would be created before writing anything. Idempotent so you can re-run safely.
If you have migrated from PagerDuty or Opsgenie before, we would love your input on what the importer needs to handle. Edge cases in schedule layers, escalation timeouts, service mappings — drop them below.
Onboarding wizard (zero to first incident in under 15 minutes)
A new self-hoster should be able to go from
docker compose upto seeing their first real incident — Slack channel created, on-call engineer notified — in under 15 minutes without reading the docs. We are building a guided wizard: connect Slack → import or create a schedule → send a test alert → confirm incident appears.Mobile-responsive UI + PWA push notifications
On-call engineers get paged at 3am. The current UI is not great on mobile. We are fixing that with proper Tailwind responsive breakpoints and adding web push notifications (PWA) so your phone shows the alert without needing the tab open — no app install required, works on iOS and Android.
More AI provider options (BYO key)
We currently support OpenAI for incident summaries and post-mortem drafts. We are adding:
ANTHROPIC_API_KEYAll providers use the same interface. Your incidents stay in your infrastructure regardless of which you pick.
Schedule quality-of-life improvements
Internal status page
Every tenant gets a public status URL (
https://<your-host>/status/<slug>) that lists active and recently resolved incidents. No configuration required, no customisation in v1 — just a shareable link you can paste in your internal comms.Documentation that is actually tested
We are committing to documentation that is run on a clean install — not just written. This means:
MCP server (agent-native)
This is the longer-term architectural bet. Regen will expose a read-only MCP server so external AI agents (Claude, GPT, custom bots) can query your incident history, triage context, on-call status, and service health profiles natively:
Bearer auth, per-tenant scoping, schema validation. This lands in W11–W12 (early July).
Timeline
How you can help
If you are migrating from Grafana OnCall, PagerDuty, or Opsgenie:
Tell us what your setup looks like. Complex rotation patterns, custom escalation logic, service mappings — the more edge cases we know about before building the importers, the better they will be.
If you have tried Regen and hit friction:
Open an issue or drop a comment here. The onboarding wizard is only as good as the real blockers we know about.
If you want to test early:
PRs for the items above will be tagged
needs-testingwhen they are ready for review. Watch the repo to get notified.If you are interested in the MCP server:
We want to know what tools would be most useful. The four above are our starting point — what queries do your AI workflows actually need?
Install Regen today
git clone https://github.com/FluidifyAI/Regen.git cd Regen docker compose upOr pull the latest image:
docker pull ghcr.io/fluidifyai/regen:latestFull docs: https://github.com/FluidifyAI/Regen#readme
Questions, feedback, or edge cases we should know about — drop them below.
Beta Was this translation helpful? Give feedback.
All reactions