curl -fsSL https://opencolab.ai/install.sh | bash# Start the OpenColab onboarding flow
opencolab igniteAccelerating scientific discovery
Turn one researcher into an always-on autonomous lab.
OpenColab is building a system where humans set direction and research agents investigate, coordinate and run experiments on GPUS.
Basic architecture
A human and the professor agent set the direction together. The professor agent coordinates the workflow and delegates work to AI researcher agents. Each researcher can run with a different model and CLI, including Codex, Claude, Grok, Gemini, MiniMax, Kimi 2.5, and DeepSeek.
Quick Start
What it does
Deep research swarm skills
Search, download, and summarize 100 papers in parallel; grounded QA (RAG-less); figure extraction; and block diagrams for scientific research workflows.
Multi-provider runtime support
Run researcher agents across OpenAI, Anthropic, Gemini, MiniMax, and xAI with the runtime that best fits the job.
Multi-project agent workspace
Coordinate multiple projects and agents from a local workspace with both CLI and Telegram control loops.
External GPU experiments
Launch experiment runs on external GPU servers through Runpod while keeping agent planning and execution organized locally.
LaTeX paper generation
Planned next: generate research papers in LaTeX format as part of the end-to-end lab workflow.