For professionals seeking a personal AI assistant, Vellum offers persistent memory and context across conversations — a 2026 repositioning from its original developer platform for building production LLM applications.
Presence & Market Position
#18 of 22
Orchestrators & Agentic Workflow
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Vellum is repositioning itself as a persistent personal AI assistant that carries context across conversations and extends through installable plugins. Its market conversation is active around the new assistant product, especially one-install skills, long-term memory, assistant-to-assistant coordination in Slack, and plugins that add search, content, and knowledge capabilities. Practitioner examples emphasize assistants taking on concrete work such as planning an offsite or maintaining research context, rather than the earlier developer-platform workflow. That texture makes the 2026 shift visible as a product change, with memory and extensibility becoming the clearest sources of differentiation.
Inngest
Lindy
CrewAI
Relevance AI
DustRedfin, Headspace, Swisscom, Drata, Seeking Alpha, Left Field Labs
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Business Profile
Founded in 2023, Vellum is an independent, 33-person software company with $25.5 million in funding. It reported $3.5 million in 2024 ARR and a $10.4 million valuation that year. The company originally sold infrastructure for teams building production LLM applications, then repositioned in 2026 around a personal AI assistant with persistent context. The current product combines a managed assistant with open-source components, plugins, and communication channels, shifting the business from developer tooling toward a direct assistant experience for professionals.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Vellum’s agent build-out now centers on an assistant runtime with persistent memory, plugins, and assistant-to-assistant coordination. Plugins can add tools, skills, hooks, routes, and interactive apps, while public API and SDK surfaces support programmatic integration. Recent releases add a curated Plugin Hub, shared work in Slack, and replaceable memory components, moving agent readiness toward a personal assistant that can learn new capabilities over time.
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