Build AI agents using plain English to do your boring tasks
Build AI agents by describing your task in plain English. Vellum turns it into a working agent you can run on a schedule, trigger via API, or use through a UI. No code, no setup; just automation you understand and control.
Vellum maintains persistent episodic, semantic, procedural, and emotional memory. It syncs across web, macOS, iOS, and CLI, so the assistant recalls past interactions, user preferences, and learned patterns everywhere the user works.
Vellum proactively summarizes Slack threads, generates morning briefings, flags action items, and surfaces relevant information without requiring the user to ask. The assistant learns when to interrupt and when to stay silent based on user behavior.
Vellum acts autonomously on behalf of the user—cleaning inboxes, scheduling meetings, drafting emails, posting to social media, making phone calls, and managing files. The assistant learns user preferences and patterns over time, reducing the need for explicit instructions on repetitive work.
Vellum encrypts data end-to-end, never trains on user conversations, allows self-hosting, and gives users granular permission controls (Strict, Conservative, Relaxed, Full Access modes). Users can export, back up, or delete their workspace at any time.
Vellum can build working applications, research topics, integrate with external services (email, Slack, Linear, DoorDash, etc.), and execute sequences of actions. Users describe what they want in natural language; the assistant figures out how to accomplish it.