After building WEAM internally for 2+ years, we made the decision to open source the entire platform. Here's the story and what we're hoping for from the community.
What is WEAM?
WEAM is essentially "ChatGPT for teams" - but with some pretty interesting additions:
- Multi-LLM support: OpenAI, Claude, Gemini, Llama, and more
- Organizational structure: "Brains" that organize AI interactions by team/project
- Custom agents: Build specialized AI assistants with knowledge bases
- RAG pipeline: Upload documents and have AI reference them intelligently
- Ready-made apps: QA analysis, video processing, content generation, etc.
Tech Stack
- Frontend: Next.js (fully responsive)
- Backend: Node.js + Python
- Deployment: Docker-ready, 2-minute setup
- Integrations: MCP protocol, OAuth 2.0, JWT auth
Why Open Source?
Honestly? Three reasons:
- AI platforms shouldn't be black boxes 📦
- The community will probably build cooler stuff than we ever could 🚀
- We're genuinely curious what happens when developers get their hands on it 😄
What We're Looking For
- Code reviews (especially architecture feedback)
- Bug reports (they're definitely hiding in there)
- Feature requests for our roadmap
- Contributors who want to build cool AI apps with us
Get Started
bashgit clone https://github.com/weam-ai/weam.git
cd weam
bash build.sh
docker-compose up -d
Repo: https://github.com/weam-ai/weam
Docs: https://docs.weam.ai
What do you think? Ready to help us figure out what we got right (or hilariously wrong)?
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