Vessel & Ghouls
Async runtime and background workers
The Vessel is the app runtime and web server that holds the Lich together. Ghouls are short-lived background jobs that do the heavy lifting and then rest.
LychD is a persistent Linux service that runs AI agents on your own machine, with long-term memory, local model engines, an operator web UI and sandboxing. Open source, MPL-2.0, no CLA.
LychD is the platform. What we deploy for each client is a composition: an application built on LychD and designed around that client's workflows, data and rules.
LychD itself is pre-alpha, so client work is delivered as a supervised engagement: Snayu engineers install, configure and run the composition for you, and the statement of work spells out what is in scope today and what is still on the roadmap.
Each part has a name from the grimoire and a plain job description. Here are both.
Async runtime and background workers
The Vessel is the app runtime and web server that holds the Lich together. Ghouls are short-lived background jobs that do the heavy lifting and then rest.
Persistent memory and training
The Phylactery is the PostgreSQL state store where the Lich keeps its memory. The Soulforge is where training happens.
Local inference engines
Animators are model endpoints. A Soulstone runs on your own GPUs; a Portal reaches a remote one. Swap engines without rewriting agents.
Operator web UI and logs
The web console where the Magus watches over the Lich. Its instruments are Atlas, Bridge, Loom, Nexus and Orb. Structured logs are recorded today; OpenTelemetry tracing is planned.
Sandboxing for lower-trust jobs
Agents you trust less are sealed in a Coffin: a rootless Podman Quadlet supervised by systemd, holding only the tools you grant.
How the parts are meant to work together on a single run, from the operator's request to the trace it leaves behind.
The answer shows up in the Altar, with the full trace behind it.
Top to bottom, the layers a request passes through on its way to your hardware and back.
Lit squares show the minimum GPU count; outlined ones are optional. Models are current open-weight examples that fit each tier. No LychD benchmarks are published yet.
The roadmap is written as a story in five books. The first chapter, Genesis, is next.
The docs speak in their own tongue. This is the translation. Hover or tap a term to see what it connects to.
We run fixed-scope pilot projects that put LychD to work on one real workflow, with our maintainers alongside your team.