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
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AI Maker Residence 3
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code.
Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
◆ Fri 09 Oct 2026◆ KOKO Cafe, London◆ With Nick Sarafa
