What it is

Kanbus is an issue tracker and planning system designed for a world where humans and AI agents collaborate directly in source-controlled workflows. Issues live as files in the repo, which keeps project memory portable, auditable, and easy for agents to read and update.

What it does

• Stores work items as plain files instead of locking them in a hosted task database.
• Exposes issue and planning workflows through CLIs and a local web console.
• Supports wiki-style project views that summarize live issue data.
• Uses vocabulary and structures that map cleanly to both human planning and LLM reasoning.

Why it matters

AI-agent orchestration needs durable work memory. If the tasks, notes, and status are trapped in a separate SaaS system, the engineering loop gets brittle. Kanbus keeps the work artifacts near the code and makes agent collaboration much easier to govern.

How it fits the Anthus Platform

Kanbus is the workload-orchestration layer for the broader platform. It complements Tactus by giving procedures a place in an actual delivery workflow, and it complements Plexus by turning evaluation and platform work into a manageable operating cadence.

A common pattern is Kanbus + Tactus + Plexus: track the work, run the procedure, and keep the quality loop visible over time.