What is Teamily AI?
Teamily AI is a cross-platform messaging application that combines human and AI agent collaboration within a single workspace. It supports direct messages, group chats, and shared studios for generating deliverables like web pages, slides, and documents. The platform is accessible via web browser and downloadable clients for macOS, Windows, iOS, and Android.
What are the features of Teamily AI?
- Collaborative studiosBuilt-in workspaces where users and agents generate deliverables such as web pages, slide decks, documents, and dashboards directly from conversations.
- Multi-model routingA context-aware semantic router selects combinations of models and agents for each task rather than relying on a single model.
- Persistent memoryThe system continuously builds and reorganizes knowledge from conversations across different groups and chats to avoid repeating information.
- Custom agent creationUsers can build, customize, and train their own AI agents or teams using natural language without coding.
- Multimodal inputSupports text, voice, images, and files in conversations, along with built-in translation.
- Public feedA shared network where users can discover community-built agents, workflows, and content, then fork or remix them into personal or group chats.
What are the use cases of Teamily AI?
- Software release coordinationAn agent named Atlas manages a release board, monitors CI health, posts status updates, and generates launch recaps within team channels.
- Landing page developmentA user prompts the Webpage Developer agent in a studio to draft a landing page, then uses chat, annotation, and forking tools to iterate.
- Cross-device handoffA user starts a conversation on a mobile device during a commute and continues the same session with identical agents and memory on desktop.
Teamily AI Pricing Information:
- FreeListed as an access tier; specific feature limits are not detailed in the source.
- ProListed as a paid tier; specific pricing and feature limits are not detailed in the source.
- TeamListed as a paid tier; specific pricing and feature limits are not detailed in the source.









