Head to head
Knolo vs Vellum
One personal assistant handles your inbox. Knolo runs your whole operation.
vs
The verdict
Knolo replaces the entire category of 'personal AI assistant' by giving you an actual workspace. Multiple agents share Minds, call each other, run on schedules, plug into 3,000+ apps through Pipedream Connect, reach any REST endpoint through the Discover API, and execute Python natively with access to Knolo's own API. Vellum ships one polished personal assistant identity that lives on iOS, Mac, Slack and Telegram, and its daemon is open source under MIT, which is genuinely impressive if a self-hosted single-user chief of staff is exactly what you want. But that scope is narrow. Vellum handles your inbox and calendar. Knolo handles your inbox, your calendar, your research pipeline, your client intake, your CRM writes and every scheduled workflow you would otherwise wire up in Make, n8n or Zapier. Most people evaluating both will get more from Knolo because a workspace of agents can always do what one assistant does, and a lot more.
Knolo runs an agent team: multiple agents sharing Minds, calling each other and running on schedules. Vellum runs one personal assistant identity.
Knolo ships 3,000+ integrations through Pipedream Connect plus the Discover API, which lets agents call any REST endpoint on the fly. Vellum's connector catalog is small and curated.
Knolo has native Python code execution inside agents with access to Knolo API methods and Minds. Vellum has no in-product code sandbox.
Structured Minds and File Minds give every Knolo agent shared persistent memory across sessions. Vellum's memory is scoped to one user identity.
Knolo's pricing is credit-based with no platform fee and no monthly task cap. Vellum adds a $10/mo Pro platform fee on top of credits.
Vellum's daemon is open source under MIT, so a developer can self-host it on a VPS, Mac Mini or private cloud. Knolo is a proprietary cloud product.
Vellum has deeper native surfaces today (iOS, MacOS, Telegram, CLI). Knolo is a web workspace that pushes work into those channels through integrations.
Knolo vs Vellum, line by line
Dimension
Knolo
Vellum
How you build it
Knolo wins
Describe the outcome in plain English. Knolo configures Minds, Assistants, Agents and triggers into a working system for you, not just one assistant.
Under 30-second setup for one assistant: pick a name, connect accounts, share goals. You teach that single assistant new skills over time.
Genuine no-code experience
Knolo wins
Strictly no-code end to end. No nodes, no scripts, no CLI, no local setup. You describe it and the workspace builds it.
Chat and setup are no-code, but power users are expected to extend the assistant through the open-source daemon and CLI.
Memory across runs
Knolo wins
File Minds and Structure Minds are first-class shared memory. Every Assistant and Agent reads and writes to them, so knowledge compounds across the entire workspace.
Managed memory layer scoped to a single personal assistant identity. Memory v2 learns one user's preferences over time.
Handling unstructured input and judgment
Knolo wins
Frontier LLMs plus tool calls plus multi-step planning. Agents can decompose work, call other agents and return structured artifacts to Minds.
Solid single-agent reasoning tuned for chief-of-staff tasks like email triage, meeting prep and light 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 that 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, Linear, and the rest of the SaaS world).
Managed OAuth connectors for a curated set of personal tools (Gmail, Calendar, Slack, Notion, Linear, Reddit). Well built, but a much smaller catalog.
Custom / arbitrary API integrations
Knolo wins
The Discover API lets agents read any REST API spec and call it autonomously with no developer setup. Practical ceiling is the open web.
The open-source daemon lets a developer extend the assistant with custom code, but there is no autonomous in-product 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 with a $10/mo Pro platform fee on top, plus machine-tier and storage add-ons for the hosted assistant.
Triggers and scheduling
Knolo wins
Cron and one-off scheduled triggers plus webhook and document triggers run Agents autonomously in the cloud.
Cron plus a heartbeat pattern keep the assistant proactive throughout the day.
Cloud vs self-host
Vellum wins
Cloud-only. Knolo runs everything in the cloud with no Docker, no VPS and no maintenance.
Both. The Vellum daemon is open source under 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, plus Structure Minds (live tables with rows and statuses) that agents query with pandas.
Memory layer learns preferences and facts about one user, but there is no first-class concept of shared document knowledge bases for a team.
Native code execution
Knolo wins
Native Python sandbox. Agents run scripts in real time with access to Knolo API methods, modify Minds, query Structure Minds with pandas and trigger Actions.
The open-source daemon means a developer can extend behaviour with code, but there is no in-product Python sandbox for agents to use as a runtime tool.
Native interaction surfaces
Vellum wins
Web-first workspace. Integrations route work into Slack, Telegram, email and similar, but the build and edit surface is the Knolo web app.
Native apps on iOS and MacOS 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 code execution and structured Minds without writing infrastructure
AI-native operators replacing patchworks of n8n, Make and Zapier plus a personal assistant with a single workspace
Anyone who wants the AI configured around their actual work, not just their inbox
Choose Vellum if…
Developers who specifically want an MIT-licensed personal assistant they can self-host and audit
Users whose entire AI use case is one person's inbox, calendar and light personal delegation
People who need deep native iOS, MacOS, Telegram and CLI presence today
Privacy-sensitive individuals who want to keep credentials and conversation data on their own hardware
When should you choose Knolo?
Choose Knolo when you want AI that does more than manage one person's inbox. Knolo is a workspace where you build a custom AI system for your work: multiple Agents that share Minds (persistent 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 does everything a personal assistant does and treats it as one small piece of the picture. Email triage, calendar prep, meeting summaries, delegation to Slack: an Agent handles those. But the same workspace also runs a research Agent that scrapes competitor pricing every morning, a client intake Agent that reads inbound form submissions into a Structure Mind, a reporting Agent that assembles a Monday brief from your CRM, and an Assistant that lets you ask the whole stack questions. Vellum's product ends where its personal assistant ends. Knolo's begins there and keeps going.
Knolo's integration story is built for that scope. Pipedream Connect ships 3,000+ pre-built integrations across Gmail, Slack, Notion, Drive, HubSpot, Linear and the rest of the SaaS world. The Discover API lets agents call any REST endpoint on the fly with no pre-configured connector. Native Python code execution gives agents a real runtime for anything else. Credit-based pricing has no platform fee and no task cap, so scope can grow without a forced tier change. If AI for your work means more than one assistant, Knolo is the answer.
When should you choose Vellum?
There are two narrow cases where Vellum genuinely beats Knolo today. The first is self-hosting. The Vellum assistant daemon is open source under MIT, which means a developer can deploy it on their own VPS, Mac Mini or private cloud and keep credentials and conversation data fully on their hardware. Knolo is a proprietary cloud product. If MIT self-hosting is a hard requirement, Vellum wins that requirement outright.
The second is deep native channel presence. Vellum has native apps on iOS and MacOS plus first-class Voice, Email, Telegram, Slack and CLI surfaces built around one assistant identity. Knolo is a web workspace that pushes work into those channels through integrations, which is a different shape of presence. If your entire use case is talking to an AI from iMessage, Telegram and a MacOS menu bar throughout the day, Vellum's surfaces are more polished today.
Outside those two cases, Vellum's advantage narrows fast. Everything else Vellum does (email triage, calendar, meeting prep, delegation, scheduled proactivity) is something Knolo does as part of a larger system. So if you don't need MIT self-hosting or deep native channels, the honest answer is that Knolo is the broader tool.
The real difference: one assistant vs. an entire workspace
Vellum is a single personal AI assistant. That is the whole product. It is well-designed, open source under MIT, and lives on your devices. But its ceiling is defined by that shape: one identity, one memory, one user's inbox and calendar. Everything Vellum ships (memory v2, plugins, channels, cron plus heartbeat) is in service of making that one assistant sharper.
Knolo is a workspace. 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. An Assistant lets you ask the whole stack questions. Each piece is composable, each piece shares state through Minds, and the whole thing runs in the cloud with 3,000+ integrations, an autonomous REST API layer through Discover, and native Python execution. That is a fundamentally different unit of software: not a smarter assistant, an actual system.
Once you see that split, the decision gets simpler. If your problem is 'I want one polished chief of staff on my phone,' Vellum is fine. If your problem is anything larger than that (client work, agency ops, research, outreach, reporting, scheduled workflows, structured data), you want the workspace. Knolo is the better choice for people who want AI that does more than one thing.
Frequently asked questions
Is Knolo a replacement for Vellum?
Yes, for almost every real use case. Everything Vellum does as a personal assistant (email triage, calendar prep, meeting summaries, scheduled proactivity, integrations with Slack, Gmail, Notion, Calendar) is something Knolo does as one Agent inside a larger workspace. The only Vellum edges Knolo does not match are MIT self-hosting and deep native iOS/MacOS/CLI surfaces. If those are hard requirements, keep Vellum. Otherwise Knolo replaces Vellum and gives you a full agent team, 3,000+ integrations, code execution and shared Minds on top.
How do Knolo and Vellum compare on integrations?
It's not close. Knolo ships two integration layers. Pipedream Connect gives you 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 with no pre-configured connector, so the practical ceiling is the open web. Vellum has a small, curated set of managed OAuth connectors focused on personal-assistant use cases. Well built, but a fraction of what Knolo can reach.
How does pricing actually work, and is Knolo cheaper than Vellum?
Both products use credit-based, pay-as-you-go pricing, so you spend on actual usage. Knolo has no platform fee and no monthly task cap. Vellum adds a $10/mo Pro platform fee on top of credits, plus machine-tier and storage add-ons for the hosted assistant. For a single personal assistant that runs quietly in the background, Vellum's free tier is generous. Once you scale into multi-agent workflows, integrations across many apps and scheduled automation, Knolo's no-tier credit model tends to stay more predictable.
Can Vellum build a team of agents like Knolo?
No. Vellum is built around one personal assistant identity that gets sharper through skills, plugins and a managed memory layer. Everything you add extends that single assistant. Knolo's model is a team: Agents call other Agents (planner, specialists, finalizer), Assistants orchestrate them, and everyone shares Minds. If you want a research Agent, an intake Agent, a reporting Agent and an Assistant that queries all of it, that is Knolo's home turf and not what Vellum was designed to do.
Does Knolo run on a schedule, and can it act proactively like Vellum?
Yes. Knolo Agents run on cron schedules, one-off scheduled triggers, webhook triggers and document triggers. That covers everything Vellum's 'always on' story is designed to solve (morning email summary, scheduled research, daily reporting, alerts on new inbound) and extends it to arbitrary business workflows, not just one person's inbox. Anything you would want a personal assistant to do proactively, a Knolo Agent can be scheduled to do.
Where do Knolo and Vellum live: what surfaces do they run on?
Vellum has native surfaces on iOS, MacOS, Web, Voice, Email, Telegram, Slack and CLI, which is its strongest single feature. Knolo is a web workspace where you build and edit your system, and your Agents push work into Slack, email, Telegram and other tools through integrations. If your use case is 'I want to chat with my AI in iMessage and Telegram all day,' Vellum has the polish. If your use case is 'I want a workspace that runs my operation and reports into Slack,' Knolo is the right shape.
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