Head to head
Knolo vs Vellum
A personal AI chief of staff vs. a workspace where you build your own AI team.
vs
The verdict
Choose Vellum if you want a polished single personal assistant — an 'AI chief of staff' that lives on your phone, Mac, Slack and Telegram, remembers your preferences, and quietly handles email triage, calendar and meeting prep for one person. Choose Knolo if you want to design a custom multi-agent system around your business — a workspace where multiple agents share Minds (knowledge bases), call each other, run scheduled work, and integrate with 3,000+ apps via Pipedream Connect plus any REST API via Discover. Vellum optimises for one assistant per person; Knolo optimises for an agent team for your work.
Vellum = one personal AI assistant per user; Knolo = a workspace of multiple agents and assistants that share knowledge and call each other.
Vellum's daemon is open source (MIT) and can be self-hosted on your own VPS or Mac; Knolo is cloud-only and proprietary.
Vellum lives natively on Mac, iOS, Web, Voice, Email, Telegram, Slack and CLI; Knolo is primarily a web workspace with integrations into those tools.
Both use credit-based, pay-as-you-go pricing. Vellum adds a $10/mo Pro platform fee plus machine and storage tiers; Knolo has no platform fee and no monthly task cap.
Knolo ships 3,000+ integrations via Pipedream Connect plus the Discover API, which lets agents call any REST API on the fly without pre-configuration.
Knolo has native code execution — agents can run Python with access to Minds and the Knolo API. Vellum's app focus is personal productivity, not code execution as a primitive.
Vellum is built around one persistent assistant identity; Knolo is built around composing many Minds, Assistants and Agents into a system you actually own.
Knolo vs Vellum, line by line
Dimension
Knolo
Vellum
How you build it
Even
Describe what you want in plain English. The workspace configures Minds, Assistants, Agents and triggers for you — no nodes, no code.
<30-second setup: pick a name, connect accounts, share goals. One assistant ready out of the box; you teach it skills over time.
Genuine no-code experience
Even
100% no-code. No nodes, no scripts, no local setup — describe it and the system builds itself.
No-code to set up and chat with. Skills and customisations are mostly natural language, but power users can drop into code/CLI.
Memory across runs
Even
Minds (file Minds + structure Minds) are the persistent memory layer. Every Assistant and Agent reads and writes to them, so knowledge compounds.
Managed memory layer designed for a single personal assistant. Memory v2 is live and improves the assistant over time as it learns your preferences.
Handling unstructured input and judgment
Even
Assistants and Agents reason over Minds with frontier LLMs and tool calls; agents can plan multi-step work and call other agents.
Strong single-agent reasoning, designed around chief-of-staff tasks like email triage, meeting prep and delegation.
Agent-to-agent collaboration
Knolo wins
Native. Agents call other Agents (planner → specialists → finalizer) with call-chain tracking and safeguards. Assistants can spawn and orchestrate Agents.
One personal assistant model. Skills extend the same assistant rather than handing off to other autonomous agents.
Pre-built app integrations
Knolo wins
3,000+ pre-built integrations via Pipedream Connect (Gmail, Slack, Notion, Drive, HubSpot, etc.), plus the Discover API which lets agents connect to ANY REST API on the fly with no pre-configuration.
Managed OAuth connectors for a curated set of personal tools (Gmail, Google Calendar, Slack, Notion, Linear, Reddit, etc.). High-quality but a much smaller catalog than Pipedream.
Custom / arbitrary API integrations
Knolo wins
Discover API: agents can read any REST API spec and call it autonomously, no developer setup required. Practical integration ceiling is the open web.
Open-source daemon (MIT) means power users can extend it with custom code, but there is no in-product equivalent of an autonomous API discovery layer.
Pricing structure
Knolo wins
Credit-based, pay-as-you-go. Buy credits, spend them as you go. No monthly task cap, no forced tier upgrades, no platform fee.
Credit-based, pay-as-you-go. Free tier available; Pro adds a $10/mo platform fee plus machine tier and storage add-ons for the hosted assistant.
Triggers and scheduling
Even
Cron and one-off scheduled triggers run Agents autonomously in the cloud. Webhook and document triggers are scaffolded.
Cron plus a heartbeat trigger pattern keep the assistant proactive 24/7.
Cloud vs self-host
Vellum wins
Cloud-only. Knolo runs everything in the cloud — no Docker, no VPS, no maintenance.
Both. The Vellum daemon is open source (MIT) and can be deployed on your own VPS, Mac Mini or private cloud. Hosted Cloud is also available.
Native document / knowledge storage
Knolo wins
Minds are first-class: File Minds (PDFs, transcripts, research) with semantic indexing, Structure Minds (live tables with rows and statuses). Every Agent reads and writes to them.
Memory layer learns preferences and facts about you, but there is no first-class concept of shared document knowledge bases for a team.
Native code execution
Knolo wins
Agents can run Python in real-time with access to Knolo's own API methods — modify Minds, query Structure Minds with pandas, trigger Actions.
Open-source daemon means a developer can extend behaviour with code, but there is no native in-product Python sandbox for agents to use as a tool.
Native interaction surfaces
Vellum wins
Primarily web. Integrations route work into Slack, Telegram, email and similar, but the build/edit surface is the Knolo web workspace.
Native apps on iOS, MacOS, Web, plus Voice, Email, Telegram, Slack and CLI. The assistant meets you where you already are.
Open source posture
Vellum wins
Proprietary cloud product. You own your data and configuration, but the runtime is not open source.
The Vellum assistant daemon is open source under MIT. You can self-host, audit the code and run on your own keys.
Choose Knolo if…
Solopreneurs and agencies building a custom AI agent team around a real business workflow
Operators who want multiple specialised agents (research, outreach, intake, QA) that share one knowledge base
Workflows that need 3,000+ app integrations or arbitrary REST APIs via the Discover API
Teams that want Python-style code execution and structured Minds (tables, pipelines) without writing infrastructure
AI-native operators replacing patchworks of n8n/Make/Zapier with a single workspace
Anyone who wants the system to be configured around them — not the other way around
Choose Vellum if…
Individuals who want one polished personal AI 'chief of staff' across Mac, iOS, Slack and Telegram
Developers and tinkerers who want an open-source (MIT) assistant they can self-host on a VPS or Mac Mini
People whose main use case is email triage, calendar management, meeting prep and personal delegation
Power users who want a CLI plus native apps and don't need a multi-agent team
Privacy-sensitive users who want to keep credentials and conversation data on their own machine
When should you choose Knolo?
Choose Knolo when the job is bigger than one person's inbox. Knolo is a workspace where you build a custom AI system for your work — multiple Agents that share Minds (knowledge bases), call each other, and run on schedules. You describe what you want and the workspace configures the Minds, Assistants, Agents and triggers for you. There are no nodes to wire and nothing to host on your machine.
Knolo's integration story is built for breadth and autonomy. Pipedream Connect ships 3,000+ pre-built integrations to Gmail, Slack, Notion, Google Drive, HubSpot, Linear and the rest of the SaaS world. On top of that, the Discover API lets your agents reach any REST API on the fly — no pre-configured connector required. Combined with a native Python code-execution environment that can read and write Minds, you have a workspace that can model almost any real business workflow.
Knolo's credit-based pricing keeps that scope honest: you buy credits, you spend them as you go, and there's no platform fee or monthly task cap that forces you to upgrade as your usage grows. If you want a single system that replaces a patchwork of personal assistants, automation tools and document silos, Knolo is the better fit.
When should you choose Vellum?
Choose Vellum when you want a personal AI chief of staff — one assistant that knows your goals, lives across your devices, and quietly does the busywork. Vellum's homepage promise is exactly that: a Personal AI that handles email triage, calendar, meeting prep and delegation, with a persistent memory layer that improves over time. Setup is genuinely under 30 seconds, and the assistant meets you on Mac, iOS, Web, Voice, Email, Telegram, Slack and CLI.
Vellum also wins on two structural choices Knolo doesn't match today. First, the Vellum assistant daemon is open source under MIT, so you can self-host it on your own VPS, Mac Mini or private cloud and keep credentials and conversation data fully on your hardware. Second, Vellum's native channels are deeper than Knolo's web-first surface — if you spend most of your day in Telegram and iOS, talking to your assistant there is just better.
Vellum's pricing is also credit-based and pay-as-you-go, with a free tier to start and a $10/mo Pro platform fee that covers a custom subdomain, static IP and priority support on the hosted plan. For a single user who wants a polished, always-on personal assistant rather than a multi-agent team, Vellum is the cleaner answer.
The real difference: one assistant vs. an agent team
The core split is shape, not features. Vellum's product is a single personal assistant identity — one chief of staff that gets better at being yours over time. Memory, channels, skills and pricing all serve that one identity. That is a beautiful product for an individual operator who wants one always-on partner.
Knolo's product is a workspace in the same sense that Notion is a workspace. You compose Minds, Assistants and Agents into a system. A Structure Mind tracks your leads, a File Mind holds your brand and research, an intake Agent runs every morning, a research Agent gets called when needed, and an Assistant lets you ask the whole stack questions. That shape is harder to copy with one assistant — and it's the right shape when 'AI for my work' means more than my inbox.
This also explains the integration and code-execution gap. Knolo needs 3,000+ Pipedream connectors, a Discover API for arbitrary REST endpoints, and a Python sandbox because Agents act on real business systems on your behalf. Vellum needs a smaller, higher-trust set of personal connectors because one assistant is acting on one person's behalf. Pick the one whose shape matches the problem you're actually solving.
Frequently asked questions
Is Knolo a replacement for Vellum?
Only partially. Vellum is a single personal AI assistant — a 'chief of staff' tuned for an individual's email, calendar and delegation. Knolo is a workspace where you build a multi-agent system around your business. If you want one polished personal assistant across Mac, iOS, Slack and Telegram, Vellum is the better tool. If you want multiple agents that share knowledge, call each other and integrate with 3,000+ apps, Knolo replaces Vellum and a lot more.
How do Knolo and Vellum compare on integrations?
Knolo ships two integration layers. **Pipedream Connect** provides 3,000+ pre-built integrations across Gmail, Slack, Notion, Drive, HubSpot, Linear and most major SaaS. The **Discover API** then lets agents connect to any REST API on the fly — no pre-configured connector required, so the practical ceiling is the open web. Vellum has a smaller, curated set of managed OAuth connectors focused on personal-assistant use cases like Gmail, Calendar, Slack and Notion. They are well built, but the catalog is much smaller than Pipedream.
How does pricing actually work — and is Knolo cheaper than Vellum?
Both products use credit-based, pay-as-you-go pricing — you buy credits and spend them on actual usage. Vellum adds a $10/mo Pro platform fee plus machine-tier and storage add-ons for the hosted assistant; Knolo has no platform fee and no monthly task cap. Total cost depends entirely on your volume. For a single personal assistant, Vellum's free tier is hard to beat. For team-style multi-agent work, Knolo's no-tier credit model tends to be more predictable as you scale.
Is Vellum open source? Is Knolo?
The Vellum assistant daemon is open source under MIT. You can self-host it on a VPS, Mac Mini or private cloud and keep credentials and conversation data fully on your hardware. Knolo is a proprietary cloud product — you own your data and configuration, but the runtime is not open source. If self-hosting and code-level auditability are hard requirements, Vellum is the cleaner choice.
Can Vellum build a team of agents like Knolo?
Not natively. Vellum is built around one personal assistant identity that gets better through skills and a managed memory layer. Knolo's model is a team: Agents call other Agents (planner → specialists → finalizer), Assistants orchestrate them, and everyone shares Minds. If you want one always-on chief of staff, Vellum's model is excellent. If you want a multi-agent workflow that produces durable artifacts in a shared knowledge base, that's Knolo's home turf.
Where do Knolo and Vellum live — what surfaces do they run on?
Vellum has native channels on iOS, MacOS, Web, Voice, Email, Telegram, Slack and CLI — the assistant is designed to meet you where you already are. Knolo is primarily a web workspace; you build and edit your system in Knolo, and your Agents push work into Slack, email, Telegram and other tools through integrations. If 'I want to talk to my AI in iMessage and Telegram' is the use case, Vellum wins on surface area today.
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