Top Python Libraries

Top Python Libraries

A Multi-Agent AI Researcher

Multi-agent AI researcher: give it a goal, get a full paper—code, GPUs, writing, zero manual work.

Meng Li's avatar
Meng Li
Dec 17, 2025
∙ Paid

“Top Python Libraries” Publication 400 Subscriptions 20% Discount Offer Link.


Simply give it a research objective, and it will automatically break down the task into multiple experiments, launch several sub-agents with independent GPUs to execute training/inference/evaluation in parallel, then aggregate the results and output a complete paper-style report with proper structure.

  1. Decompose your high-level goal into multiple executable sub-experiments

  2. Assign a dedicated researcher agent to each sub-experiment

  3. Each agent can automatically request GPU sandboxes on Modal, write code independently, run experiments, and collect evidence

  4. After all experiments are complete, the orchestrator agent consolidates all results and generates a comprehensive report with charts, tables, and analysis (similar to a research paper)

The entire process is fully automated with no manual intervention required.

User's avatar

Continue reading this post for free, courtesy of Meng Li.

Or purchase a paid subscription.
© 2026 Meng Li · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture