官方说明2 个来源昨天
ChemCrow
LangChain agent for chemistry-related tasks
在 GitHub 查看 ↗直链 · 无中转页
官方说明rk_bold.png" ChemCrow is an open source package for the accurate solution of reasoning-intensive chemical tasks.
- 来源明细
- 收录自 e2b-dev/awesome-ai-agents 榜单（我们从中收集的条目之一） · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-10-16 · 最近见到 2026-10-16 · 共见到 3 次 · 被 2 个来源列出
- 评分构成
- 综合分 203 · 2 个来源 · repo
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们还没有为它记录标签。
谁维护它、还在更新吗？
我们收录于 2026-10-16；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记
ChemCrow is an open source package for the accurate solution of reasoning-intens
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Built with Langchain, it uses a collection of chemical tools including RDKit, paper-qa, as well as some relevant databases in chemistry, like Pubchem and chem-space.
🤗 Try it out in HuggingFace!
⚠️ Note
This package does not contain all the tools described in the ChemCrow paper because
of API usage restrictions. This repo will not give the same results as that paper.
All the experiments have been released under ChemCrow runs.
👩💻 Installation
🔥 Usage
First set up your API keys in your environment.
You can optionally use Serp API:
In a Python session:
🛠️ Self-hosting of some tools.
By default, ChemCrow relies on the RXN4Chem API for retrosynthetic planning and reaction product prediction. This can however be slow and depends on you having an API key.
Optionally, you can also self host these tools by running some pre-made docker images.
Run
Now ChemCrow can be used like this:
✅ Citation
Bran, Andres M., et al. "ChemCrow: Augmenting large-language models with chemistry tools." arXiv preprint arXiv:2304.05376 (2023).
🤗 Try it out in HuggingFace!
⚠️ Note
This package does not contain all the tools described in the ChemCrow paper because
of API usage restrictions. This repo will not give the same results as that paper.
All the experiments have been released under ChemCrow runs.
👩💻 Installation
🔥 Usage
First set up your API keys in your environment.
You can optionally use Serp API:
In a Python session:
🛠️ Self-hosting of some tools.
By default, ChemCrow relies on the RXN4Chem API for retrosynthetic planning and reaction product prediction. This can however be slow and depends on you having an API key.
Optionally, you can also self host these tools by running some pre-made docker images.
Run
Now ChemCrow can be used like this:
✅ Citation
Bran, Andres M., et al. "ChemCrow: Augmenting large-language models with chemistry tools." arXiv preprint arXiv:2304.05376 (2023).
- 来源
- awesome · https://github.com/ur-whitelab/chemcrow-public
- 收录于
- 昨天