Assembly 為開源多智能體 AI 工作空間尋找貢獻者
Looking for contributors to Assembly — an open-source multi-agent AI workspace
Assembly 正為其實驗性開源多智能體 AI 工作空間尋找貢獻者。工作空間會協調多個 Agent，讓它們各自解題、比較答案、質疑分歧，並在可行情況下整合附有來源及不確定性註記的答案。貢獻範疇包括前端與 UX、後端可靠性、AI 評測及文件；開發者可由一個小型問題開始。
I've been building Assembly, an experimental open-source AI workspace that coordinates multiple agents to solve a problem independently, compare their responses, challenge disagreements, and synthesize an answer with sources and uncertainty notes where available.
The goal is to experiment with how multiple AI models can work together rather than relying on a single response.
Tech stack
- Python and FastAPI for the backend
- Next.js, React, TypeScript, and Tailwind CSS for the frontend
- Multi-agent orchestration, evidence comparison, and synthesis
I'm looking for developers who would like to contribute to:
- Frontend and UX: accessibility, mobile layouts, and investigation flows
- Backend and reliability: API behavior, error handling, and streaming
- AI and evaluation: provider integrations, testing, and reproducible benchmarks
- Documentation: setup instructions and developer experience
You don't need to commit to a large feature or become a long-term maintainer immediately. Start with one focused issue, ask questions, and submit a small pull request. Some tasks can be completed without live model API keys.
Project: https://github.com/anubhab7105/Assembly
Start contributing: https://github.com/anubhab7105/Assembly/contribute
Demo: https://assembly-murex.vercel.app
I'm particularly interested in meeting developers who enjoy AI agents, Python, full-stack development, testing, and open-source collaboration. Feedback and suggestions are welcome, too.
來源：DEV Community · dev.to