Multi-Agent AutoResearch with Open Source Models

Description

In this video, we walk through a multi-agent setup of AutoResearch using open source models and OpenCode. Timestamps 00:00 - Introduction: Multi-agent AutoResearch setup 01:07 - Agent Roles: Researcher, Planner, Worker, and Reporter agents 01:55 - Repository Setup: Exploring the repo structure and files 02:11 - Environment Configuration: Python setup, UVSync, HF Hub login 03:20 - OpenCode Interface: UI walkthrough and agent configuration 03:51 - Running the Experiment: Autonomous research pass execution 05:17 - Sub-agents in Action: Planner and Reviewer agent collaboration 07:08 - Trackio Metrics: Tracking training efficiency and job monitoring 08:23 - Hugging Face Hub: Jobs running on HF infrastructure 08:58 - Conclusion: Try it yourself with OpenCode Links: Repo: https://github.com/burtenshaw/multiautoresearch Twitter post with learnings: https://x.com/ben_burtenshaw/status/2045085809800356112