Weam AI

Weam AI is a web app designed for teams of 20 or more members. It connects to major AI language models (LLMs) through APIs, allowing users to share chats, prompts, and agents in team or private folders. With Weam AI, teams can deploy their own AI apps, agents, or workflows, or use ready-made solutions from the library. It is an open-source platform that helps teams adopt AI systematically. The platform includes a complete, production-ready stack with a Next.js frontend and Node.js/Python backend, ready to deploy and use immediately. Modern teams need easy access to the latest AI models, and Weam connects to all major LLM providers out of the box—just add your API keys and you’re ready to go. Think of it as ChatGPT built specifically for teams. All your organization’s AI interactions live in one centralized platform, organized into “Brains” (intelligent folders). These Brains contain not just chat histories, but also your custom prompts and AI agents. You can structure Brains around your departments—Marketing, Sales, Engineering, Support—whatever fits your organization. Weam AI provides a Prompt Library where teams can create, save, and organize prompts complete with structured templates such as brand profile, product info, or company context. This supports consistent, high-quality outputs across all team members. Thanks to the “Fork Chat” feature, colleagues can share and reuse prompts, enhancing collaboration and reducing repetitive effort. Additionally, Power Prompt enriches basic queries by automatically adding context and important details, ensuring more accurate and polished AI interactions. Weam’s Pro Agents are production-ready AI assistants tailored for common business needs. Examples include: Sales Call Analyzer—reviews and extracts insights from sales conversations or recorded calls. SEO Article Writer—generates SEO-optimized content in minutes. Business Proposal Writer—drafts polished proposals on demand. These agents enable teams to automate routine tasks, save time, and focus on strategic work. Weam supports document upload (PDFs, DOCX) into chat sessions and agents, allowing AI to reference internal content dynamically via Retrieval-Augmented Generation (RAG). This means teams can feed their knowledge base directly into workflows, enabling agents to produce informed, contextually relevant outputs—perfect for generating summaries, answering questions, or drafting doc-based responses. Weam AI has received positive reviews, with users praising its effectiveness for large team AI adaptation. One user mentioned trying it out with 200+ team members and seeing positive signs, with the goal of building internal AI use cases into the open-source application. The user also suggested that more LLM connections out of the box would be beneficial.