Every voice, one answer.
A committee of AI agents that deliberate to an answer, instead of trusting one large model. Multi-agent consensus, Kubernetes-native.
Install Quickstart View on GitHubA moot is an assembly that settles a question by deliberation. Kubemoot runs a crew of AI agents on Kubernetes that each bring their own expertise and reach consensus over a message bus, where any of them can agree, raise a concern, object, or stand aside. Capability is composed horizontally from many small models rather than concentrated in one frontier model. Kubemoot focuses on crews of agents reaching consensus on shared accelerators, and runs alongside projects such as kagent and agentgateway.
Consensus, not one model
Specialists deliberate and settle by signal - no single model, no fixed pipeline, no majority vote. Failure is first-class signal, not silence.
Declarative crews
Crews, agents, prompts (ADL), and scheduling policies are Kubernetes objects. Author by
kubectl apply; version with git diff; no recompilation.
Runs on your accelerators
Just-in-time model scheduling spreads small models across commodity or local accelerators. A crew states the models it needs and the cluster’s catalog supplies them, so a crew is portable across clusters; no frontier-model dependency.
Measurable
Executable fitness functions score a crew against ground truth - reference-grounded, fabrication-aware - so crew quality is something you track, not guess.
Five-minute start
A CPU trial you can run on a laptop, no accelerator required: one script takes an empty cluster to a crew answering a question. NATS, Ollama serving a small model from the cluster’s model catalog on CPU, the operator, and a two-agent crew.
git clone https://github.com/kubemoot/kubemoot.git && cd kubemoot
git checkout "$(git describe --tags --abbrev=0 --match 'operator-chart-v[0-9]*' --exclude '*-rc.*')"
kind create cluster --name kubemoot
./quickstart/quickstart.sh
The git checkout selects the latest release, and the script installs the chart of the
release it is checked out at. The same script runs in CI against every release, on a
2-CPU node. What each step creates, the CPU-trial-versus-accelerator profile, and how to
go further: Quickstart. To install the operator on
your own cluster with an accelerator-backed model server (vLLM is the preferred engine):
Installation.
The ecosystem
- Kubemoot - the operator: the Kubernetes controller and runtime that wire a crew together.
- Crews - packaged crews as Helm charts, from the reference crew to examples you can copy.
- Homelab Pilot - the reference crew, with its chat and dashboard app.
- kmctl - the command-line tool for crews, discussions, and the cluster’s model catalog.
- CrewForge - the VS Code extension for building, deploying, and talking to crews.
See Ecosystem for what each component is and how they fit.
Community
Kubemoot is an independent open-source project under the Apache 2.0 license. Start with the Community section and the Contributing page, the kubemoot organization on GitHub, and Discussions. For anything else, write to moot@kubemoot.org. security@kubemoot.org is only for vulnerability reports.