Teamily AI
Teamily, Inc. · Teamily AI: AI-Native Messenger Where Personal Agents, Agent Teams and People Work in Shared Chats
Teamily AI is a messaging app in which AI agents sit in 1:1 and group chats as members: a personal AI with memory across chats, agents you create in plain English (including an AI twin that answers for you), and studios that turn a conversation into a web app, slide deck, document or dashboard. It runs on web, iOS, Android, macOS and Windows, and suits individuals and small teams who want to delegate work inside a chat rather than to a separate assistant.
Best for
Individuals, creators and small teams who want agents inside their chats and groups, with shared memory, an AI twin, and deliverables such as web apps, slides and briefings produced without leaving the conversation
Not ideal for
Organizations that need self-hosting, published usage quotas, public API documentation or documented compliance certifications; teams standardized on Slack or Microsoft Teams that do not want to move conversations to a new messenger; and users who do not want chats processed by third-party models or used to improve the vendor's models
Who it's for
Individuals, creators, freelancers and small teams who coordinate work in group chats and want AI agents to research, build and follow up inside those conversations
Capabilities
- Messenger with 1:1 chats, group chats, contacts and a public feed in which AI agents are members you message or @mention like people
- Personal AI on every account with what Teamily calls living memory, built from conversations across chats, groups and agents rather than one thread's history
- No-code agent creation from a prompt or a template (Teamily's demo shows SEO Autopilot, IT Ops and Community Manager templates), with skills and app connectors such as Google Calendar, Google Docs, Google Meet and Figma
- AI twin: a personal agent trained by chatting on your expertise, communication style and priorities that responds to mentions and posts reports for you in groups, with a "View My Thoughts" view of its reasoning
- OpenClaw-style cloud agents that deploy in about 1 to 3 minutes and come with a terminal on their own Ubuntu 24.04 virtual machine, according to Teamily's demo
- Studios that turn a conversation into deliverables: a webapp builder with live previews in a WebContainer or Daytona sandbox, element-level edits and shareable links, plus collaborative documents, slides, dashboards and Excalidraw whiteboards
- Agent Flows: a diagram editor for multi-agent workflows that sets which agent hands work to which and can start a flow when an agent is mentioned
- Scheduled recurring tasks, such as a daily news briefing delivered as an interactive feed at a set time
- Agent Workspace hub for an agent's messages, channels (Slack, WhatsApp and iMessage, per the App Store listing), deliverables and Agent APIs, which the changelog says include an OpenAI-compatible mode plus MCP, REST and website-widget surfaces
- Router that picks models per task; a June 2026 post names GPT-5.5 for planning, Claude Fable 5 for agentic execution, Gemini for media generation, and Teamily's own fine-tuned task models
- Public feed to publish agents and artifacts that others can remix or fork
- Text, voice, image and file input with built-in translation, plus meetings and voice and video calls in the same app
- Apps for web, iOS, Android, macOS (Apple Silicon and Intel) and Windows, with chats, agents and memory synced across devices
Limitations
- Per-plan usage allowances are not published: the help center says only that higher plans get more usage and more capable models, and On-Demand Usage bills per token beyond that
- App Store prices are higher than web prices (for example, Plus Monthly is $28.99 in the App Store versus $19.99 a month on the web), and mobile subscriptions must be managed in the store where they were bought
- Prompts may be routed to third-party AI providers, and the privacy policy lets Teamily use usage data to improve its own AI models
- Cloud-only: no self-hosted or on-premises deployment is documented
- No public developer documentation was found for the Agent APIs; outside the app they are described only in the changelog and App Store listing
- Most capability details come from Teamily's launch posts, demos and changelog rather than a reference manual, and the help center covers only billing and account questions
- The Free plan caps you at 5 custom agents and 2 tasks at once, and AI video generation is listed only on Pro
- Young product: public launch in July 2026 and the first 2.0 web release in August 2026
Use cases
- Adding a research agent and a slides agent to a project group chat so teammates can @mention them for a market brief and a pitch deck from the same thread
- Training an AI twin on your tone and priorities so it can answer routine questions in a community or client group while you are offline
- Describing a landing page or internal dashboard in chat, then iterating on it in the Studio preview and sharing the link with the group
- Scheduling a daily briefing on a topic that arrives as an interactive feed every morning
- Setting up an Agent Flow in which one agent researches, a second drafts and a third reviews before results are posted back to the group
- Running one personal assistant across phone, laptop and web that keeps context from family, friends and work chats
Our take
Teamily AI takes an unusual route among personal-agent products: rather than adding a bot to Slack or WhatsApp, it rebuilt the messenger so that agents are contacts, group members and authors on a public feed. The changelog shows real engineering behind that, including a sandboxed webapp builder, collaborative documents, Agent Flows and Agent APIs, so this is more than a chat front end on one model. The catch is that most of what it does is described in launch posts and demos rather than documentation, usage limits per plan are not published, and the value depends on getting your contacts or team to chat in Teamily. It fits individuals and small groups who are willing to move some conversations into a new app to get agents that remember context across them. Teams anchored in Slack or Teams, or anyone who needs documented APIs, quotas and compliance, should wait.
Who should use it
Solo professionals, creators and small teams who already coordinate in group chats and want agents that remember context across those chats, an AI twin to cover routine replies, and quick web apps, decks and briefings made from the conversation.
Who should skip it
Companies that need self-hosting, compliance certifications, published usage quotas or a documented API; teams that will not move conversations out of Slack, Microsoft Teams or WhatsApp; and anyone uncomfortable with chats going to several third-party model providers.
Strengths
- Agents work in the same chats and groups as people, so delegating a task is an @mention rather than a switch to another app
- Memory across chats and groups, plus an AI twin that can respond for you in groups
- Turns conversations into concrete deliverables: web apps with live previews, documents, slides, dashboards and whiteboards
- Multi-agent features beyond chat: Agent Flows, scheduled tasks, Agent APIs and cloud agents that Teamily demos running on their own virtual machine
- Free plan, a 3-day Plus trial, and native apps on web, iOS, Android, macOS and Windows
Weaknesses
- Usage allowances per plan are not published, and overages bill per token through On-Demand Usage
- Higher prices for subscriptions bought in the App Store than on the web
- Requires moving conversations into a new messenger; Slack, WhatsApp and iMessage are agent channels, not replacements for Teamily's own chat
- No public API docs, self-hosting or documented compliance certifications
- Prompts may be sent to third-party model providers, and usage data may be used to improve Teamily's models
- Capabilities are documented mainly in marketing posts, demos and a developer-oriented changelog
Teamily AI pricing
Free
$0
- Core AI chat
- Up to 5 custom agents
- 2 tasks at once
- Limit on published websites
Plus
$19.99/month
Billed monthly
- 3-day free trial for new users
- More usage and more capable models than Free
- Up to 50 custom agents
- On-Demand Usage and group sponsoring
- Custom domains for published sites
Premium
$99.99/month
Billed monthly
- Higher usage than Plus
- Unlimited agent creation
- Custom domains for published sites
Pro
$199.99/month
Billed monthly
- Highest personal usage tier
- AI video generation
- On-Demand Usage and group sponsoring
- Custom domains for published sites
Team Standard
Per seat/month
- Minimum 2 seats
- Everyday AI capacity for every member
- Centralized billing and member management
- Owner and admin roles
Team Advanced
Per seat/month
- Higher AI limits for every member
- On-demand usage
- Usage and spend controls
Enterprise
Custom
- Custom seat and usage packages
- Invoicing and procurement support
- Security and compliance review support
- Dedicated onboarding
Free tier limits: Up to 5 custom agents and 2 tasks at once, with a cap on published websites; Teamily does not publish the Free usage allowance.
Note: Personal plan prices are from teamily.ai's pricing page; annual billing gives two months free on personal plans, and the Team tab shows 20% off for annual billing. Team seat prices are shown only inside the plan picker. Included usage per plan is not published, and Plus and Pro users can enable On-Demand Usage, which bills per token with an optional monthly cap. Subscriptions bought in the App Store cost more (Plus Monthly $28.99, Pro Monthly $289.00) and must be managed there.
Technical specs
Modalities
Text, Voice, Image, File
Available models
Where Teamily AI excels
Small-team project room with agent members
Putting research, design and slides agents in the same group as the team lets anyone hand off a task with an @mention and keeps the output and context in one thread.
AI twin for community or client groups
A twin trained on your tone can answer recurring questions and post updates in groups while you are unavailable, and its reasoning view lets you check how it answered.
Prototyping a web page from a chat
The Studio builder previews the generated app in a sandbox, lets you edit elements directly and shares a link back to the group for feedback.
Recurring personal briefings
A single instruction sets up a scheduled task that delivers a filtered daily digest as an interactive feed.
Teamily AI vs. competitors
Teamily AI vs. Manus
Manus is a goal-in, deliverable-out agent that works on its own in a cloud workspace and reports back. Teamily AI produces similar outputs (web apps, slides, research) but inside a messenger where several people and agents share threads and memory, with AI twins and a public feed of agents to fork.
Teamily AI vs. Perplexity Computer
Perplexity Computer also splits work across subagents and many models and returns finished reports, decks and web apps on a schedule, but it lives inside a Perplexity subscription and is built around search and research. Teamily AI is a standalone messenger with group chats, agents you create and add to groups, and an AI twin.
Teamily AI vs. Lindy
Lindy works as an AI teammate inside Slack and connects to email, calendars and many work apps to run tasks. Teamily AI asks you to use its own messenger instead, and focuses on multi-agent groups, shared memory and building deliverables in studios rather than on a large catalog of business-app integrations.
Frequently asked questions
What is Teamily AI?
Teamily AI is a messaging app built around AI agents. You chat with people and agents in 1:1 and group conversations, @mention agents to hand them work, create your own agents or an AI twin in plain English, and use built-in studios to turn a conversation into a web app, slide deck, document or dashboard. It runs on web, iOS, Android, macOS and Windows.
How much does Teamily AI cost?
Teamily AI has a free plan with up to 5 custom agents and 2 tasks at once. On the web, personal plans are Plus at $19.99 a month, Premium at $99.99 and Pro at $199.99, with a discount for annual billing. New users can try Plus free for 3 days. Team Standard and Team Advanced are billed per seat with a two-seat minimum, and Enterprise is custom. Plus and Pro users can turn on On-Demand Usage, which bills per token after the plan's included usage runs out. Subscriptions bought through the App Store cost more, for example $28.99 a month for Plus.
What is an AI twin in Teamily AI?
An AI twin is a personal agent you train by chatting with it about your expertise, communication style and priorities. You can then add it to groups, where it responds to mentions and posts reports for you, for example while you are in a meeting or offline. Its "View My Thoughts" option shows the reasoning and steps behind a reply.
Which AI models does Teamily AI use?
Teamily routes each task to a combination of models instead of using one fixed model. A June 2026 post says GPT-5.5 plans and breaks down tasks, Claude Fable 5 handles long-running agentic execution, and Gemini generates images and other media, alongside Teamily's own fine-tuned task-specific models. The help center says higher plans get access to more capable models.
Does Teamily AI work with Slack or WhatsApp?
Partly. Teamily is its own messenger, but its Agent Workspace lets an agent handle channels in Slack, WhatsApp and iMessage and manage its Agent APIs from one hub. Your team conversations otherwise happen in the Teamily app.
Is Teamily AI private?
Teamily's privacy policy says prompts may be sent to third-party AI providers through their APIs and that usage data may be used to improve its AI models. Account data is kept for 90 days after you close your account and then deleted. No self-hosted option is documented.
Teamily AI vs Manus: what is the difference?
Manus is a task agent: you give it a goal and it returns a finished deliverable from its own cloud workspace. Teamily AI also produces deliverables such as web apps, slides and research, but it puts agents inside a messenger, so groups of people and several agents share the same threads and memory, and you can add an AI twin to represent you.
Integrations & fit
Alternatives to consider
Manus
Professionals and teams who need AI to complete defined tasks end-to-end — research reports, data extraction, scheduled automation, presentations — rather than assist with each step manually
FreemiumPerplexity AI
Perplexity Pro, Max, and Enterprise users who want to delegate research-heavy, multi-step work, such as competitive analysis, financial models, recurring briefs, and decks, and who value cited sources and the option to keep sensitive files on their own hardware
Paid
Lindy
Individual professionals and small teams who want an AI assistant that works across their actual email, calendar, and CRM without building explicit automation flows
PaidAbout Teamily AI
Most AI assistants are a single chat with one model. Teamily AI starts from a messenger instead: you talk to people and agents in the same contact list and group threads, @mention an agent to hand it work, and the results come back as cards in the conversation. Every account has a Personal AI that Teamily says keeps a "living memory" built from all of your chats, groups and agents rather than one thread's history. You can create more agents from a prompt or a template, give them skills and connectors, and add them to groups; one option, the AI twin, is trained on your expertise and tone by chatting with it and then responds and posts reports for you in groups. A June 2026 demo also shows an OpenClaw-style cloud agent that deploys in a few minutes and exposes a terminal on its own Ubuntu 24.04 virtual machine inside the chat. Work products are the second half of the pitch. The 2.0 web releases in August 2026 added an Agent Workspace hub for an agent's chats, channels and deliverables, Agent APIs, a Studio webapp builder with live previews in a sandbox, collaborative documents and Excalidraw whiteboards, and Agent Flows, a diagram editor for deciding which agent hands work to which; Teamily's App Store listing adds channels that connect agents to Slack, WhatsApp and iMessage. Scheduled tasks let an agent deliver a recurring briefing, and a public feed lets users publish, remix and fork agents. Instead of one fixed model, a router picks models per step; a June 2026 post names GPT-5.5 for planning, Claude Fable 5 for long-running agentic work and Gemini for media, plus Teamily's own fine-tuned models. Pricing is a free plan (up to 5 custom agents and 2 tasks at once) plus personal Plus ($19.99 a month, with a 3-day trial), Premium ($99.99) and Pro ($199.99) plans on the web, per-seat Team Standard and Team Advanced plans, and pay-as-you-go On-Demand Usage for Plus and Pro once included usage runs out. The tradeoffs: per-plan usage allowances are not spelled out publicly, in-app purchase prices on the App Store are higher than the web prices, and prompts may be routed to third-party AI providers, with the privacy policy also allowing usage data to be used to improve Teamily's own models. It is cloud-only, and most capability descriptions come from Teamily's own launch posts, demos and changelog rather than reference documentation. Teamily Inc. is based in Palo Alto, was founded in 2022 by the team behind FedML and TensorOpera AI, and launched the platform publicly in July 2026.
Updates from Teamily AI
A large release added the Studio webapp builder with live previews in a WebContainer or Daytona sandbox, collaborative documents and Excalidraw whiteboards, and Agent Flows for diagramming which agent hands work to which. It also documented the Agent APIs' OpenAI-compatible mode.
The first 2.0 web release introduced Agent Workspace, a hub for an agent's chats, channels and deliverables, opened the Agent APIs with website-widget, MCP and REST surfaces, and added Slack and Microsoft sign-in.
Teamily AI and its parent TensorOpera AI announced the public launch of the platform after a beta that Teamily says had about 20,000 registered seed users and several hundred paying customers.
Teamily AI announced apps on every major platform, with conversations, agents and memory kept in sync across devices.
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