Notis vs Poke vs Memorae vs Zapia vs The Librarian: which messaging-native AI assistant actually feels good to use?

The new category: “messaging-native” AI assistants

Most AI assistants still assume you will meet them inside a web app. You open a tab, type a prompt, copy the output somewhere else, and repeat. The tools in this comparison are chasing a different idea: the assistant should live where work actually happens, in your inbox and your chats, and it should do the boring parts for you.

Notis, Poke, Memorae, Zapia, and The Librarian are all trying to collapse the gap between intent and execution. The big difference is how they treat the interaction layer. Some optimize for polished, native chat behavior. Others optimize for “your message becomes an action in your systems.” A few are building toward a concierge-like agent that interacts with the outside world.

This is a detailed comparison of five products that look similar from far away but feel very different the moment you use them.

Quick take

If you want an assistant that reliably turns messages into finished work inside a structured system, Notis is the most opinionated about execution and about landing results inside your tools.

If you want the most “native” messaging experience and you care about the micro-details of chat UX such as inline replies, typing indicators, and group chat behavior, Poke is currently the clearest bet.

If your goal is to offload the mental load of remembering and managing daily life with minimal configuration, Memorae leans hard into reminders, lists, and memory as a product category.

If you want a WhatsApp assistant built for real-world errands in Latin America, including an agent that talks to businesses to book things for you, Zapia is playing a different game than workplace productivity tools.

If you want an “executive assistant” bundle with a more classic SaaS plan structure and an emphasis on briefs, scheduling, and search, The Librarian is positioned like a packaged assistant service.

Positioning snapshot (what each tool is trying to be)

Notis.ai: the “one message updates everything” approach

Notis frames itself as an “AI Intern” rather than a chat toy. The positioning matters because it sets the expectation that the assistant should not just answer questions, it should ship work. The product pages repeatedly emphasize that you can message Notis from WhatsApp, Telegram, iMessage, or email, and have it take action across your connected tools.

The key interaction pattern is simple: you send a message in natural language, often as a voice note, and the assistant produces a concrete output that is saved where it belongs. In Notis’ case, the product narrative is tightly tied to Notion. Notion is not just “one integration,” it is a destination that acts like the assistant’s working memory and filing cabinet.

Notis also leans into the idea that automation should not require a separate automation platform. It talks about recurring triggers and integration-triggered actions, and it markets long-term memory as a core feature rather than a bolt-on.

Pricing is unusually explicit for a modern AI assistant. Notis publishes three tiers and also explains the limits model: plans include a monthly usage budget and behavior when you hit the limit.

Poke.com: interaction design as a competitive advantage

Poke’s documentation is unusually clear about where it lives: iMessage, WhatsApp, and SMS. That is not just a distribution choice, it is a UX decision. When an assistant lives inside the same conversation threads where you coordinate with real people, it inherits a set of expectations about responsiveness, context, and conversational etiquette.

What makes Poke stand out in this group is not that it can do email and calendar. Most assistants can. The differentiator is that Poke appears to treat the messaging layer as a product surface worth iterating on.

Poke’s release notes explicitly call out improvements that sound small until you use the product daily. It adds WhatsApp typing indicators and read receipts. It supports inline replies and threads more reliably. It works in iMessage group chats and describes how it should behave when mentioned, how it uses inline replies, and how it should respect privacy boundaries in group settings.

This is a very specific kind of UX advantage. It reduces the “bot friction” that makes most assistants feel like tools you operate rather than collaborators you converse with.

The second major piece is integrations. Poke has a concept of Connections and an integration library. The docs enumerate a set of first-party integrations and also describe custom integrations via MCP-compatible services. The tone is not “we integrate with everything,” it is “connect the things you care about, and then talk naturally to take actions across them.”

Pricing is the largest unknown for a reader trying to evaluate Poke self-serve. The FAQ states that pricing is negotiated with you, and the Terms describe a mix of free and paid aspects without publishing fixed tiers. That is not inherently bad, but it is a different buying experience than most SaaS products and it changes how people compare.

Memorae: the assistant as a memory layer

Memorae sells a very specific pain: you are exhausted because you’re trying to remember everything. The product reframes reminders, lists, and scheduling not as “productivity features,” but as an externalized memory system that sits on top of what you already do.

The core interaction is intentionally lightweight. You message Memorae, often through WhatsApp, and it becomes a place to capture reminders and lists without context switching. Memorae’s pricing page also describes a daily briefing and long-term memory as higher-tier features, which pushes it beyond a simple reminders bot.

Memorae also leans into a distinct, social feature: friend-to-friend reminders. That changes the category slightly. It is not only about reminding yourself, it is about delegating the act of remembering to a system that can nudge other people.

On integrations, Memorae is explicit about Google Workspace at higher tiers, and its Terms enumerate Google services and permissions. That suggests Memorae is evolving from “WhatsApp reminders” to a broader, Google-centered assistant layer.

Zapia: a WhatsApp agent for real-world tasks in Latin America

Zapia’s positioning is geographic and practical. It frames itself as an AI assistant for real-world tasks in Latin America, with an emphasis on localized service and product advice. This matters because the highest value tasks in emerging markets can look different from the highest value tasks inside a Silicon Valley workflow.

Zapia also has a clearer “agent” story than most assistants. Zapia Conecta is described as an AI agent on WhatsApp that talks to real businesses, checks prices and availability, and books appointments. That is a stronger claim than “I can summarize your email.” It implies outbound action in the real world.

Zapia also advertises Google Calendar scheduling through WhatsApp, including creating, editing, and canceling events. In other words, it has at least one concrete workplace-adjacent integration, but the dominant narrative is everyday life coordination.

Pricing in the public pages used here is framed as free, and there are no visible paid tiers in the cited sources.

TheLibrarian.io: assistant packaging with a classic SaaS shape

The Librarian is positioned as an “AI Executive Assistant,” and the pricing page reads like an assistant bundle: reminders, scheduling, daily briefs, and a “smart find” search layer. It is less about being everywhere and more about being a coherent assistant product.

Unlike Poke’s negotiated pricing, The Librarian’s pricing is straightforward. It offers Free, Basic, Pro, and Custom. The plan table is explicit about daily limits for queries, reminders, and image generation, and it adds premium assistant-like deliverables at higher tiers, such as pre-meeting briefings and unbranded sending.

The Librarian also includes WhatsApp integration as a plan feature. That makes it adjacent to messaging-native products, but the overall posture is closer to a web-first SaaS assistant with messaging as an interface option.

Interaction and UX: what actually changes when the assistant lives in chat

The most useful way to compare these tools is to stop listing features and instead map what the interaction feels like. In practice, users do not pick an assistant because it can “do reminders.” They pick it because it reduces friction in the moments that matter.

Messaging-native polish versus messaging-native execution

Poke is the clearest example of “polish as a product.” Read receipts, typing indicators, inline replies, and group chat behavior are the difference between something that feels like a bot and something that feels like a participant. If you spend your day coordinating inside chat, these details compound into trust.

Notis is more “execution-native” than “chat-native.” Its value is not that it behaves like a human in WhatsApp. Its value is that your message becomes a completed task in your system, especially in Notion, and that it can orchestrate work across a large set of integrations.

Memorae and Zapia take a third angle. They treat chat as the easiest capture layer for everyday life, where the goal is not collaboration polish but reducing mental load. Zapia goes further by describing outbound agent behavior that contacts businesses.

The Librarian sits slightly outside the “messaging purity” contest. It uses WhatsApp as an interface, but its primary product story is more like a packaged assistant service with briefs, scheduling, and search.

The control surface problem

A messaging-first assistant creates a new kind of UI tradeoff. It removes context switching, but it can also hide the state of the system. If you want to review what changed, audit the assistant’s actions, or configure recurring workflows, you either need a good conversational model for that or you need a secondary control surface.

Notis leans into this by talking about automations and a system in Notion that can be inspected. Memorae leans into it by adding a “full control dashboard” in higher tiers. Poke leans into it by making “Connections” and integrations explicit in settings, and by making messaging UX itself richer.

Privacy expectations inside personal chat

Once an assistant lives in iMessage or WhatsApp, it enters a higher-trust environment by default. People speak differently in personal chat threads than they do in a web app form. That means privacy posture is not a footnote, it is part of the UX.

Poke explicitly markets a “Maximum Privacy” default mode in its FAQ, and it discusses privacy boundaries in group chats in release notes. Notis publishes a detailed privacy policy with retention guidance and Google API limited use disclosures. Memorae and Zapia publish privacy policies that describe how they process and retain data. The Librarian’s privacy policy includes the Google API data-use disclosure.

Pricing and transparency: how the buying experience differs

Pricing is part of UX, especially for assistants, because limits shape usage habits.

Notis publishes tiered pricing and also explains the mechanism behind usage limits and what happens when you hit them.

Memorae publishes tiered pricing with monthly and annual framing and a feature ladder that corresponds to “operational memory” versus “strategic memory” versus “executive memory.”

The Librarian publishes a clear SaaS plan table with explicit daily quotas.

Poke is the outlier: pricing is not published as a fixed menu. The FAQ frames pricing as negotiated, and the Terms describe free and paid aspects without enumerating tiers.

Zapia is also an outlier, but in the opposite direction: the public pages cited here emphasize that the features are free.

How to choose (based on how you work)

If your day is already built around Notion as the place where decisions, tasks, and knowledge live, you will likely value an assistant that can write into that system without ceremony. That is where Notis is the most coherent.

If your day is built around messaging threads, and you care about the assistant feeling like it belongs there, Poke’s focus on chat-native UX details and group chat behavior is the most differentiated.

If you want the simplest possible “second brain” behavior with a bias toward reminders, lists, and daily briefings, Memorae is designed around that problem statement.

If you want a practical WhatsApp agent for Latin America that can do errands-like tasks and talk to businesses through Conecta, Zapia’s product direction is meaningfully different from workplace automation tools.

If you want a packaged “AI executive assistant” experience with classic plan tiers, daily quotas, and assistant deliverables like morning briefs, The Librarian is the most straightforward to evaluate.

Bottom line

These tools look like variations of “chat with AI,” but they compete on different layers.

Poke is trying to win the interaction layer. Notis is trying to win the execution layer. Memorae is trying to win the memory layer. Zapia is trying to win the errands layer. The Librarian is trying to win the assistant bundle layer.

If you read nothing else, choose based on where you want friction to disappear: inside the chat itself, inside your tools, inside your memory, inside real-world coordination, or inside your schedule.