# Vellum review

> Vellum is an autonomous personal AI assistant that executes real tasks across computer environments, apps, and channels using persistent memory and dedicated compute.

- Canonical: https://toolsrankai.com/tools/vellum
- Official site: https://www.vellum.ai/
- ToolsRank rank / score: #580 / 70.7 (methodology https://toolsrankai.com/methodology)
- Categories: AI Agent & Chatbot Builders, Agent Platforms & Frameworks, AI Assistants
- Pricing: Free plan available; paid from $30/month. At the review date (September 2026), Vellum provides a free Base plan (1 vCPU, 2 GiB RAM, 6 GiB storage) with pay-as-you-go credit usage. Pro plans start at $30/month (Mighty) up to $200/month (Ultra) with bundled machine capacity, storage, and usage. Self-hosting via GitHub is also available. Always verify current pricing on the official site.
- Fact-checked: 2026-09-08 · First listed: 2026-09-23

## Verdict

Vellum is well-suited for developers and power users who need an autonomous assistant capable of executing shell commands, managing inboxes, and retaining long-term memory across devices. It is less appropriate for non-technical users seeking a simple plug-and-play chatbot or enterprises needing strictly locked-down SaaS chatbots without arbitrary tool execution.

## What it is

Vellum operates as a personal intelligence assistant running on a dedicated cloud machine or self-hosted hardware. Unlike conventional chat interfaces that reset context between sessions, Vellum maintains a persistent workspace filesystem and long-term memory system that stores facts, preferences, and operational context over time.

The system is equipped with out-of-the-box skills covering email management, calendar coordination, web browsing, voice calls, code execution, web application creation, and cross-channel messaging across Slack, Telegram, web, terminal, and mobile interfaces. Actions execute within an isolated workspace, and operations that interact with external services, shell commands, or screen control require explicit user-approved permissions or defined standing trust rules.

Vellum uses an un-marked-up model pass-through pricing model, where token usage and credit-eligible features (like web search, image creation, and LLM inference) draw from monthly plan allowances or prepaid credit balances. For developers and teams with data governance requirements, Vellum can also be self-hosted locally or deployed onto private cloud infrastructure.

**What makes it different:** Vellum combines persistent memory, its own dedicated compute and workspace filesystem, and an explicit permissions engine that executes real-world actions across communications and development channels without charging markups on underlying LLM tokens.

**Best for:** technical professionals seeking an autonomous personal assistant with persistent memory, tool execution, and flexible deployment options.

**Not ideal for:** teams wanting a simple knowledge-base chatbot without external execution rights, or users uncomfortable managing credit balances and compute resources.

## Key features

- **Persistent Memory Subsystem** — Consolidates and extracts facts, preferences, and entities across conversations into a personal knowledge base, preserving context over time.
- **Multi-Channel Accessibility** — Interact with the assistant across macOS, iOS, web browser, terminal, Slack, Telegram, email, and voice calls.
- **Dedicated Workspace and Computer** — Runs on isolated virtual compute with configurable CPU and RAM tiers (from 1 vCPU up to 4 vCPU / 16 GiB RAM) and persistent storage.
- **Built-In Skill Library** — Includes integrations for Gmail, Google Calendar, Slack, Linear, DoorDash, web search, phone calls, and interactive web app generation.
- **Granular Permissions Model** — Prompts users with Allow or Deny options and risk badges before executing file system changes, shell commands, or outbound messages.
- **Self-Hosting and Extensibility** — Open-source core architecture deployable locally or to private clouds like GCP, with support for custom skills, MCP, and hooks.

## Use cases

- **Daily Briefing and Schedule Management** — Aggregate calendar events, unread messages, weather, and news into morning summaries, and make phone calls or update calendar invites.
- **Autonomous Inbox and Ticket Triage** — Read and draft email replies, move tickets inside Linear, and push team updates into specific Slack channels.
- **On-Demand Micro-App Generation** — Generate functional web utilities (such as habit trackers) directly within the conversation window.
- **Asynchronous Background Research** — Trigger automated heartbeat routines to price-watch flights, assemble competitor briefs, and compile standup notes while away.

## How it works

1. Sign up or deploy the open-source assistant locally or to your own cloud infrastructure.
2. Configure your assistant's identity, communication channels (Slack, Telegram, CLI, email), and preferred integrations.
3. Delegate tasks conversationally or set up background routines and heartbeats for continuous work.
4. Review and approve external actions through the built-in risk and permissions engine.
5. Monitor resource utilization across persistent storage, compute machine tiers, and zero-markup token credits.

## Pros

- Zero token markup on LLM provider costs
- Persistent memory that carries across conversations and devices
- Open-source core with local and private cloud self-hosting options
- Multi-channel support including CLI, web, Slack, and Telegram
- Interactive action execution beyond basic text generation

## Limitations

- Background processes like memory compaction and heartbeats consume usage credits
- Requires managing compute machine tiers, storage sizes, and credit balances
- Action execution requires careful configuration of security permissions and risk rules

## Pricing

| Plan | Price | Notes |
| --- | --- | --- |
| Base | $0 / forever | Small machine (1 vCPU, 2 GiB RAM); 6 GiB persistent storage; Pay-as-you-go credits with no monthly minimum; Managed LLM credentials; Free forever |
| Mighty | $30 / month | Small machine (1 vCPU, 2 GiB RAM); 10 GiB storage; Mighty Usage included; Does not include platform fee, custom subdomain, or static IP |
| Super | $100 / month | Medium machine (2.5 vCPU, 5 GiB RAM); 30 GiB storage; Super Usage included; Assistant email and custom subdomain; Static IP and priority support; Platform fee included |
| Ultra | $200 / month | Large machine (4 vCPU, 8 GiB RAM); 60 GiB storage; Ultra Usage included; Assistant email and custom subdomain; Static IP and priority support; Platform fee included |

At the review date (September 2026), Vellum provides a free Base plan (1 vCPU, 2 GiB RAM, 6 GiB storage) with pay-as-you-go credit usage. Pro plans start at $30/month (Mighty) up to $200/month (Ultra) with bundled machine capacity, storage, and usage. Self-hosting via GitHub is also available. Always verify current pricing on the official site. Vendor prices and limits change; verify on the official pricing page before purchasing.

## Score factors

- editorial: 78 (editorial)
- utility: 82 (editorial)
- trust: 75 (editorial)
- freshness: 88 (editorial)
- engagement: 6 (measured)
- momentum: 25 (measured)

## Languages, platforms, integrations

- Languages: English
- Platforms: Web, macOS, iOS, Linux / Self-hosted, Terminal
- Integrations: Slack, Telegram, Gmail, Google Calendar, Linear, Twitter, Tavily, Perplexity, Brave Search, Firecrawl, DoorDash, Stripe

## FAQ

### What is Vellum?

Vellum is an autonomous personal AI assistant that lives on your computer or in the Vellum Cloud. It possesses its own identity, persistent memory, and dedicated filesystem, allowing it to send emails, manage calendars, browse the web, execute code, and perform actions across integrated services.

### How is Vellum different from ChatGPT or Claude?

Unlike standard chatbots that operate as isolated text generation sessions, Vellum operates with persistent memory, an individual filesystem, and proactive routines (such as heartbeats). It can take real actions in external systems across terminal, mobile, web, email, and messaging platforms.

### How does Vellum handle pricing and token usage?

Vellum passes through model provider token costs at cost with no markup. Work draws from monthly included usage allowances or prepaid Vellum Credits (1 credit = $1 USD). Paid plans scale computer size (vCPU/RAM), storage, and usage bundles.

### Can Vellum execute tasks without human confirmation?

Only what you explicitly permit. Actions that touch the filesystem outside the workspace, control the screen, or send external emails require an Allow or Deny confirmation unless you configure standing trust rules.

### Can I self-host Vellum?

Yes. Vellum assistant is open source and can be deployed locally on your own machine, a VPS, or a private cloud like Google Cloud Platform (GCP). Self-hosting incurs no platform fee or computer tier charges.

## Alternatives

- [Dify](https://toolsrankai.com/tools/dify) — An open-source LLM app platform with visual workflows, RAG, and agent tooling, available self-hosted or as a cloud service.
- [Botpress](https://toolsrankai.com/tools/botpress) — An agent-building platform with a visual studio, hosted runtime, and an open-source lineage.
- [Voiceflow](https://toolsrankai.com/tools/voiceflow) — A visual platform for designing, testing, and deploying AI agents for support and conversational products.

## Sources checked

- [Official Homepage](https://www.vellum.ai/)
- [Official Pricing](https://www.vellum.ai/pricing)
- [Pricing Documentation](https://www.vellum.ai/docs/pricing)
- [Documentation Overview](https://www.vellum.ai/docs)

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Cite https://toolsrankai.com/tools/vellum for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.