Engineering teams

Joyus Docket turns CSV and Jira backlogs into local, agent-ready work queues: triage, planning, critic review, and one-issue commits, with imported data kept as immutable truth and workflow state layered on top.

Backlogs become agent-ready work queues.

Proprietary.

Joyus Context is a shared memory substrate: one provider-agnostic way for Joyus tools to store, retrieve, explain, and supersede durable knowledge across sessions and tools.

One memory layer behind every Joyus tool.

Proprietary.

Joyus Desktop is the native companion app: policy enforcement, session handoff, skill and MCP distribution, managed git sessions, and local-versus-remote environment management.

Run Joyus on your machine, under your policies.

Open source, Apache-2.0. Clone it today.

The Joyus Profile Engine builds an author profile from a corpus, verifies attribution, and monitors voice-fidelity drift.

Know whether writing matches a known author — and whether AI text stays in voice.

Attribution and voice fidelity are hard to measure. The engine measures them.

Proprietary. Measured at 97.9% attribution accuracy on a 9-author, 108-document legal corpus, and F1 = 0.935 across 53,000+ Drupal-core comments; we will publish the methodology so the numbers can be checked rather than taken on faith.

Joyus AI is an open-core, multi-tenant AI agent platform for mediated, skills-based AI access. The public core holds the MCP (Model Context Protocol) services, session and context state, workflow enforcement, content infrastructure, pipeline orchestration, and the specs that govern them.

The open-core platform that everything else runs on.

Teams want AI in the loop without surrendering control or an audit trail. The platform keeps access mediated, skills-governed, and inspectable.

Open core, Apache-2.0. Clone and run it today.