# Vellum Vellum (vellum.ai) is a personal AI assistant; it calls itself "your Personal Intelligence." One assistant, one memory, reachable from a macOS app, iOS, the web, a CLI, Telegram, and Slack. It learns how you work and acts before you ask. The pitch that sets it apart from a chatbot: the assistant has its own identity. Its own name, its own email, its own accounts and logins. Its behavior lives in a `SOUL.md` file, and during onboarding it watches how you communicate and writes its own personality files. It keeps a journal of reflections on past interactions. Memory is structured, not a flat chat log. Items like identity, preferences, projects, and events are extracted with source attribution and deduplication, then retrieved with a hybrid of semantic and lexical search. It ships with 60+ skills and can be taught more. Autonomy is configurable, from "ask before every action" to fully autonomous. Credentials stay in the macOS Keychain (self-hosted) or an isolated vault (managed); the model never sees them, and Vellum doesn't train on user data. The roadmap points further in the same direction: subagents for parallel work, Teleport (handing a live session between local and cloud without losing memory), Google Meet and iMessage integrations, a paid Pro tier, self-improvement without fine-tuning. Vellum raised $25M. Backers include Dharmesh Shah, Arash Ferdowsi, Rebel Fund, and [[Y Combinator]]. The assistant core is open source at github.com/vellum-ai/vellum-assistant. **Why it matters here:** this is the OSK agent system, productized and hosted. SOUL files, accumulated memory, a skill library, subagents, journals; the parallel is almost exact. Worth watching as both a competitor and a reference design. ## References - https://www.vellum.ai - https://www.vellum.ai/roadmap - https://github.com/vellum-ai/vellum-assistant ## Related - [[AI Assistants]] - [[AI Agents]] - [[AI Subagents]] - [[Memory]] - [[Large Language Models (LLMs)]] - [[Context Engineering]]