OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Weam AI
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About Weam AI
Weam is an open source platform that helps teams adopt AI systematically. It includes a complete, production-ready stack with Next.js frontend and Node.js/Python backend – ready to deploy and use immediately. Modern teams need easy access to the latest AI models. 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 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.
GitHub, Inc.
San Francisco, California, US · Founded 2008
- Founders
- Tom Preston-Werner, Chris Wanstrath, PJ Hyett, Scott Chacon
- Founded
- 2008
- Headquarters
- San Francisco, California, US
- Legal status
- Subsidiary of Microsoft (NASDAQ: MSFT)
Key features
- Built-in connections to major LLMs via API
- Prompt Library with structured templates
- Fork Chat feature for sharing and reusing prompts
- Power Prompt for enriching basic queries
- Pro Agents for common business needs
- Document upload support for RAG
- Centralized platform for AI interactions
Use cases
- Automating routine tasks with Pro Agents
- Generating consistent, high-quality outputs with Prompt Library
- Enhancing collaboration and reducing repetitive effort with Fork Chat feature
Pros
- Open-source and self-hostable, enabling full control over data and infrastructure
- Pre-built integration with major LLM providers, reducing setup time
- Centralized platform for organizing chats, prompts, and agents into structured 'Brains'
- Supports document uploads and Retrieval-Augmented Generation (RAG) for context-aware AI responses
- Includes a library of ready-to-use AI agents and customizable AI applications
Cons
- Requires technical expertise for self-hosting and deployment
- Local model support depends on external tools like Ollama, adding complexity
- May need additional resources (CPU, RAM) for optimal performance in larger teams
Weam AI videos
Frequently asked questions about Weam AI
What is Weam AI?
Weam AI is an open-source platform designed to help teams adopt AI systematically. It provides a production-ready stack with a Next.js frontend and Node.js backend, ready for immediate deployment and use.
Who is Weam AI suitable for?
Weam AI is suitable for modern teams of 20+ members looking to centralize AI interactions, collaborate on prompts and agents, and deploy custom AI applications within a unified platform.
How does Weam AI connect to AI models?
Weam AI connects to all major LLM providers out of the box, including OpenAI, Anthropic, Gemini, Llama, and others. Users can add their API keys to enable these connections, and local models can be supported via Ollama without requiring an API key.
Can Weam AI be self-hosted?
Yes, Weam AI can be self-hosted. Users can download or fork the repository and deploy it on their own infrastructure. Professional installation support is available for non-technical teams.
What features does Weam AI offer for team collaboration?
Weam AI offers features such as centralized chat histories, custom prompts, and AI agents organized into 'Brains' (intelligent folders). Teams can share and reuse prompts, collaborate on chats, and structure Brains around departments like Marketing, Sales, or Engineering.
Does Weam AI support document uploads and RAG?
Yes, Weam AI supports document uploads in formats like PDFs and DOCX. It uses Retrieval-Augmented Generation (RAG) to dynamically reference internal content, enabling agents to produce contextually relevant outputs for tasks like summarization or drafting responses.
