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auto-deep-researcher-24x7

An AI agent that autonomously runs deep learning experiments, working 24/7 without interruption.

🇨🇳 DomesticFreeOpen sourceDev开源Python
Platforms: DesktopAPI
Region
Domestic
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.2k
Source
GitHub
Added
2026-06-13
Last verified
2026-06-13
auto-deep-researcher-24x7

Overview

Deep Researcher Agent is an autonomous AI agent for running deep learning experiments, capable of continuous operation even when users are offline. It adopts a Leader-Worker architecture with zero-cost monitoring and constant memory usage. The agent supports multiple execution backends, including Slurm clusters, and can utilize domestic LLM APIs (such as DeepSeek, Qwen, etc.). It also provides experiment logging, data-driven stagnation signals, code understanding, and literature retrieval tools to help developers better manage and optimize experiments.

Key features

  • 24/7 uninterrupted execution of deep learning experiments
  • Leader-Worker architecture
  • Zero-cost monitoring
  • Support for multiple execution backends
  • Experiment logging and data-driven stagnation signals
  • Code understanding and literature retrieval tools

Use cases

Automated deep learning experiment managementNighttime or unattended experiment executionLarge-scale experiment managementMulti-node cluster experiments

Pros

  • 24/7 uninterrupted operation
  • Support for multiple execution backends
  • Rich experiment management features
  • Open source and free

Limitations / notes

  • Requires some configuration and setup
  • May require internet connectivity

Who it's for

DevelopersResearchersData scientistsAcademic teams

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

Is it free?

Yes, the project is open source and free.

Is Chinese support available?

Yes, the project documentation includes a Chinese version.

Do I need scientific internet access?

Part of the functionality may require internet access, but it supports domestic LLM APIs.

Can it be used commercially?

Yes, the project is licensed under the Apache 2.0 license.

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