Open-source infrastructure for agentic software delivery.
AxiaCraft is a reusable platform for orchestrating AI agents across the software delivery lifecycle. It gives teams the product operations, engineering workspaces, gates, and memory layer needed to run an AI development factory inside their own environment.
Agentic product operations
Automated triage, estimation, prioritisation, ticket shaping, sprint preparation, and delivery status updates.
Autonomous engineering loops
Agent workspaces for implementation, tests, code review, security checks, documentation, and merge-ready output.
Governed release path
Quality gates, reviewer decisions, deployment evidence, rollback notes, and production approval workflows.
A delivery pipeline made of accountable agent work.
AxiaCraft is not a chat window taped onto a backlog. It models the delivery system itself: context, intent, work ownership, verification, approval, and learning.
Built around orchestration, evidence, and memory.
The platform gives agents the surrounding system they need to be useful in production: not just prompts, but queues, context, gates, artifacts, and feedback loops.
Orchestration layer
Coordinates agents, tickets, approvals, workspaces, retries, and handoffs so the system remains inspectable.
Engineering workspaces
Isolated branches and build environments let agents implement and verify changes without trampling active work.
Quality gates
Tests, review, security checks, acceptance criteria, and deployment status become first-class product signals.
Rembr memory
Durable memory gives agents project context, decisions, runbooks, timelines, contradictions, and causal traces.
Human control points
Teams decide where autonomy stops: product approval, architectural risk, production deployment, and incident response.
Operational evidence
Every delivery run leaves behind the decisions, checks, artifacts, and outcomes needed for trust and auditability.
For teams that want agentic delivery without losing engineering discipline.
AxiaCraft is aimed at real product teams, internal platform teams, and open-source maintainers who need repeatable software delivery rather than one-off AI demos.
Agents need a delivery system, not just a bigger prompt.
Useful autonomy comes from boundaries: clear work items, known context, isolated execution, measurable verification, and explicit approval gates. AxiaCraft packages those boundaries into a product so teams can improve the system instead of repeatedly rebuilding the scaffolding.
Run it, inspect it, adapt it.
AxiaCraft is Mark Jones' open-source product for AI-driven software delivery. The goal is a practical foundation that teams can self-host, extend, and reason about without locking their engineering process inside a black box.
axiacraft factory run input: idea | issue | incident | feedback plan: classify, estimate, prioritise build: agent workspace, tests, review gate: policy, risk, approval, evidence ship: merge, deploy, announce learn: memory, timeline, causal trace status: product-ready platform