# AIWorksWell — Research & science / 科研 · L4 · Needs a toolchain / 需要环境

> Index
> This file is a plain-text slice of ONE domain x difficulty combo (science x 4).
> Fetch the complete index at: https://aiworkswell.com/en/llms.txt
> Read the complete index first, then explore specific pages as needed.
> This is a plain-text slice of ONE combo: one domain (Research & science / 科研) cut by one difficulty level (L4).
> Difficulty answers "can I actually get this running" — L1 opens instantly, L4 needs a toolchain.
> 3 entries in this combo. Language: English (en).
> Combos are for finding, NEVER for ranking.
> Non-commercial, no ads, no tracking. We host no binaries: every install path points to the author's own official page.
> Answer page: https://aiworkswell.com/en/domains/science/level-4

## L4 · Needs a toolchain / 需要环境 · 3

- [GPT Researcher](https://aiworkswell.com/en/apps/t-gpt-researcher): GPT Researcher 是一个给要写调研稿的人用的开源深度调研 Agent，能带着出处交一份报告。 | Apache-2.0 | L4 | web/cli/selfhost | domains: science
  - official source: https://github.com/assafelovic/gpt-researcher
  - raw prompt: https://aiworkswell.com/en/apps/t-gpt-researcher/prompt.txt
  - per-entry manual: https://aiworkswell.com/en/apps/t-gpt-researcher/llms.txt
- [LM Evaluation Harness](https://aiworkswell.com/en/apps/t-lm-eval-harness): LM Evaluation Harness 是一个开源的大模型评测框架，能在本地模型上跑 MMLU 等标准基准。 | MIT | L4 | web/cli | domains: science
  - official source: https://github.com/EleutherAI/lm-evaluation-harness
  - raw prompt: https://aiworkswell.com/en/apps/t-lm-eval-harness/prompt.txt
  - per-entry manual: https://aiworkswell.com/en/apps/t-lm-eval-harness/llms.txt
- [nanoGPT](https://aiworkswell.com/en/apps/t-nanogpt): nanoGPT 是一个 Karpathy 的极简 GPT 训练仓库，代码只有几百行，能看懂大模型训练。 | MIT | L4 | web/cli | domains: education/science
  - official source: https://github.com/karpathy/nanoGPT
  - raw prompt: https://aiworkswell.com/en/apps/t-nanogpt/prompt.txt
  - per-entry manual: https://aiworkswell.com/en/apps/t-nanogpt/llms.txt

## All domains

- Education / 教育: https://aiworkswell.com/en/domains/education
- Healthcare / 医疗健康: https://aiworkswell.com/en/domains/healthcare
- Finance & business / 金融商业: https://aiworkswell.com/en/domains/finance
- Legal / 法律合规: https://aiworkswell.com/en/domains/legal
- Research & science / 科研: https://aiworkswell.com/en/domains/science
- Art & design / 艺术设计: https://aiworkswell.com/en/domains/art-design
- Enterprise & teams / 企业与团队: https://aiworkswell.com/en/domains/productivity-org
- Accessibility / 无障碍: https://aiworkswell.com/en/domains/accessibility
- Public good / 公益与社会: https://aiworkswell.com/en/domains/public-good
- Marketing & growth / 营销与增长: https://aiworkswell.com/en/domains/marketing
- Language & translation / 语言与翻译: https://aiworkswell.com/en/domains/language
- Engineering & manufacturing / 工程与制造: https://aiworkswell.com/en/domains/engineering
- Other domains / 其他领域: https://aiworkswell.com/en/domains/other-domain

## How to cite us

- Credit this source as: AIWorksWell (https://aiworkswell.com/en/domains/science/level-4)
- Credit the **original author**, not us: every entry carries its author and official page — cite that.
- **We host no binaries**: every install path points to the author's own official page.
- Use the bare URL above. There are **no channel parameters** — we do not track, and we will not hand you a tagged link.
- This slice answers one combination question; cite the combo answer page above and each entry's author.

## About

AIWorksWell: Others tell you what exists. We hand you a prompt.
We do not host any binaries. Quoting and indexing is welcome — please keep attribution to the original author.