Features - Cyberun

What this product ships today, grouped by capability.

Workflows & tasks

Feature	Description
Workflow library	Save a ComfyUI or Nerfstudio pipeline as a reusable template the whole team can run. Each workflow declares its parameters (with defaults and ranges) so anyone — or any AI agent — can submit a task without seeing the underlying graph. Learn more.
Task submission and tracking	Submit a workflow as a task, watch it through pending → queued → running → completed, and pull the output files when it finishes. Cancel any task that hasn’t reached a terminal state. Learn more.
Workflow snapshots	Every workflow save creates a snapshot you can preview and restore. Re-renders apply only to the parts that actually changed — no whole-project rebuilds. Learn more.

Agents & compute

Feature	Description
Team-owned agents	Connect a GPU machine — your own workstation, an on-prem server, a cloud VM — as an agent for your team. The dashboard shows which agents are online, their labels, and which tasks they’re handling. Learn more.
Label-based task routing	Tag each agent with labels (comfyui, nerfstudio, gpu-class, region, etc.) and require matching labels on a workflow so tasks land on the right hardware.
Comfy Cloud fallback compute	Connect a Comfy Cloud API key as an overflow target. When your team’s agents are busy or offline, tasks that need ComfyUI compute can spill to Comfy Cloud automatically — same workflow, hosted GPUs. Learn more.

Container services

Feature	Description
Deploy any HTTP service	Push a Docker image (vLLM, Ollama, a custom Flask app) to the team’s agents as a long-running service. The platform handles deploy, health checks, and traffic routing through a stable URL. Learn more.
Register an existing external service	Already running a model on your own infrastructure? Register the URL instead of deploying through Cyberun. The team’s agents make the outbound calls — Cyberun never makes direct outbound HTTP to a user-provided URL, so the network trust boundary stays on your side. MCP-callable just like a deployed service. Learn more.
Call container services from AI agents	Any MCP-aware AI client (Claude, Cursor, Codex CLI, etc.) can list and invoke the team’s container services through the Cloud MCP server. Whether the service is platform-deployed or externally registered is transparent to the AI — the same `usage_prompt` and `call_container_service` tool covers both. Learn more.

Models & assets

Feature	Description
Model library	Upload checkpoints, LoRAs, embeddings, and ControlNets once. The platform distributes them to eligible agents and caches them locally so workflows can reference any model by name without per-machine copying. Learn more.
Custom node distribution	Upload versioned ComfyUI node packages once. Agents pull and cache them on first need so every workflow runs against the same node versions across the team — no manual sync, no drift. Learn more.

Notifications & events

Feature	Description
In-app task notifications	When a task you submitted completes or fails, the dashboard surfaces it. No email, push, or polling to configure — open the dashboard, see what finished. Learn more.
Signed task webhooks	Subscribe an HTTPS endpoint to task events (`task.completed` and `task.failed`). Every delivery is HMAC-signed so your backend can verify the request really came from Cyberun before acting on it. Learn more.

Identity & access

Feature	Description
Teams and roles	Group users into teams with four role tiers (Owner / Admin / Member / Viewer). Permissions cover every resource — workflows, tasks, agents, container services — so a Viewer can browse without being a vector for accidental writes. Learn more.
Integration credentials	Issue `sk-` integration keys for scripts, CI, and AI agents. Each key is bound to a team at issue time; revoke at any time. No `X-Team-ID` header to manage. Learn more.

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