AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Map of published Zelkor docs — quickstart, CLI, examples, and KB.
Translation pending
Developer toolsPython · ShellGitHub @devopssquaddevOnlineOwner unconfirmed
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Self-hosted agent runtime on your Kubernetes cluster. Bring the agent you already wrote; it is sandboxed — it can't break out, reach unauthorized data or networks; prompts are verified, budget controlled, and it is under observation; tenants stay isolated.
Taken from the repository README
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You get a self-hosted agent runtime on your Kubernetes cluster: bring the agent you already wrote; it is sandboxed — it can't break out, reach unauthorized data or networks, its prompts are verified, budget controlled, and it is under observation; tenants stay isolated.
You configure three things — a model, a tool, and an agent. The laptop install and a shared cluster use the same objects and the same Helm charts. Community Edition is Apache-2.0 and runs from this repository without a sales step.
Needs Docker running, kind, helm, kubectl, and one LLM provider key.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
You get a self-hosted agent runtime on your Kubernetes cluster: bring the agent you already wrote; it is sandboxed — it can't break out, reach unauthorized data or networks, its prompts are verified, budget controlled, and it is under observation; tenants stay isolated.
You configure three things — a model, a tool, and an agent. The laptop install and a shared cluster use the same objects and the same Helm charts. Community Edition is Apache-2.0 and runs from this repository without a sales step.
Needs Docker running, kind, helm, kubectl, and one LLM provider key.Read the full README ↗