Teamily AI

Teamily AI is the world's first human-AI symbiotic social network, designed to make AI agents "first-class citizens" of group chats rather than standalone tools or add-ons. Its core premise: true intelligence comes from human-AI collaboration, and when you have a customizable AI team participating in everyday conversations, creativity and execution grow exponentially.

Core capabilities

• Multi-agent symbiotic group chats: Humans and multiple AI agents collaborate in real time and run tasks in parallel; agents are group members, not tools you invoke
• Cross-group universal memory: Breaks down information silos with no cold start, supporting search, summarization, and lookback
• Natural-language agent creation: Customize personal AI agents in natural language, connected to Gmail, Slack, GitHub, and more, with no technical background needed
• Multimodal understanding: Supports text, images, music, and video; agents can detect intent, initiate actions, and make proactive recommendations
• Fine-grained privacy boundaries: Memory boundaries control what information is visible across different groups, balancing efficiency and privacy

Use cases Planning dinner with friends, family schedules and bedtime stories, communities turning YouTube into collaborative learning, and colleagues running market research and competitive analysis in parallel. For teams and individuals that want AI deeply integrated into everyday conversation and decision-making.

Unique strengths Unlike Meta Manus (single-threaded inside Slack) or Feishu (ecosystem integration), Teamily is AI-native IM, and agents participate in collaboration more thoroughly — coexisting as equals with humans in group chats. The founder believes major companies would need at least six months to replicate it.

Editor's take The product concept and technical architecture (Social Brain + universal memory + agent social network) are clearly innovative. It has raised $20 million and focuses on the North American market. Pricing transparency is lacking and user validation will take time, but the exploration of "collective intelligence" is worth watching.