Launching today
Teamily AI
Your personal agent, agent teams & people in one messenger
179 followers
Your personal agent, agent teams & people in one messenger
179 followers
The human-agent platform where people and always-on agents get work done together in one unified, context-aware space. Unlike single-user personal agents, Teamily AI enables multi-user, multi-agent teamwork. Built on an AI-native messenger, it connects people, agents, docs, meetings, calls, workflows, and business systems to automate office work and customer service. Agents become real teammates with persistent memory, proactive intelligence, and continuous self-improvement. Free to get started.
Products used by Teamily AI
Explore the tech stack and tools that power Teamily AI. See what products Teamily AI uses for development, design, marketing, analytics, and more.
Engineering & Development 7
Engineering & Development 7
Zilliz CloudFrom the creators of Milvus, the vector database trailblazer
5.0 (3 reviews)
Agents in Teamily AI remember context across chats and groups, so nobody has to explain things twice. Zilliz Cloud is the vector database behind our memory system, helping agents find the right context at the right moment. It's a big reason context follows the work wherever it goes.
DaytonaOpen-source dev env that makes you 2x more productive!
5.0 (18 reviews)
Agents in Teamily AI don't just talk; they build and run things for the group. Daytona gives our agents development environments that are easy to get started with and scale as more agents work at the same time. That lets agents take on real tasks while the conversation keeps going.
FirecrawlThe Web Data API for AI Agents and Developers
5.0 (19 reviews)
Agents should never get stuck when they need something from the web. Firecrawl turns pages into clean data agents can use, and gives them another route when a page is hard to read. It keeps research reliable, so the group still gets its answer.
Google Cloud PlatformA suite of cloud computing services by Google
5.0 (226 reviews)
An always-on platform needs a cloud that stays up. Google Cloud is part of the reliable infrastructure that keeps Teamily AI running for people and agents every day. Whenever a group needs its agents, they're there.
PostHogLiterally every piece of SaaS that a product engineer needs
5.0 (297 reviews)
Building for humans and agents together means learning from how both actually use the product. PostHog gives us the product analytics to see what's working and what isn't. It helps us decide what to improve next for every team on Teamily AI.
AWSAWS offers reliable, scalable, and inexpensive cloud.
5.0 (299 reviews)
Everything a group shares and creates in Teamily AI needs a dependable home. We rely on AWS for object storage and compute, so files stay available and agents have the power they need to keep working.
SupabaseThe open source Firebase alternative
5.0 (924 reviews)
Every message, group, and agent in Teamily AI depends on data that's always in sync. Supabase gives us the Postgres database and authentication behind our core app, so we can move fast without managing that layer ourselves. It keeps sign-ins smooth and every team's data right where they left it.
LLMs 5
LLMs 5
Qwen3Think Deeper or Act Faster
5.0 (27 reviews)
Open models give us the flexibility to build agents our own way. Alongside DeepSeek, we post-train on Qwen3 models and host them on our own GPU servers. Having more than one strong open model lets us match each agent to the job it does best in Teamily AI.
DeepSeekOpen-source LLM optimized for advanced reasoning and code
4.9 (57 reviews)
We want agents that are tuned for group collaboration and fully under our control. We post-train on DeepSeek's open-source models and host them on our own GPU servers, so your data stays on our infrastructure and we can shape how agents behave in Teamily AI.
GeminiGoogle's answer to GPT-4
4.9 (177 reviews)
People share photos, screenshots, and videos in group chats all the time. When agents in Teamily AI work on image and video tasks, we choose Gemini's frontier models. That lets anyone drop visual content into a chat and have an agent actually work with it.
OpenAIAPIs and tools for building AI products
5.0 (887 reviews)
Most of what happens in a group chat is conversation and writing. When agents in Teamily AI chat with the group or write anything, from a quick reply to a full draft, we choose OpenAI's frontier models. That's what makes talking to an AI teammate feel as natural as talking to a person.
Claude by AnthropicA family of foundational AI models
5.0 (1.1K reviews)
Some work takes an agent hours, not seconds, like research or building something step by step. When agents in Teamily AI need to run long tasks like these, we choose Anthropic's frontier models. They help agents stay on track from start to finish, so the group gets a finished result back right in the thread.
AI Agents 1
AI Agents 1
