https://github.com/theworldofagents/Agentic-Reasoning
free and open OpenAI Deep Research
https://github.com/theworldofagents/Agentic-Reasoning
Last synced: 12 months ago
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free and open OpenAI Deep Research
- Host: GitHub
- URL: https://github.com/theworldofagents/Agentic-Reasoning
- Owner: theworldofagents
- Created: 2025-02-07T03:33:10.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-18T14:35:28.000Z (about 1 year ago)
- Last Synced: 2025-02-18T15:34:52.104Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 188 KB
- Stars: 186
- Watchers: 6
- Forks: 21
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- StarryDivineSky - theworldofagents/Agentic-Reasoning - Reasoning是一个开源项目，旨在探索和实现自主智能体推理能力。该项目受到了OpenAI Deep Research的启发，致力于构建能够像人类一样进行复杂推理的智能体。它提供了一系列工具和框架，帮助开发者构建和评估具有推理能力的智能体。Agentic-Reasoning的核心思想是让智能体能够分解复杂任务、规划行动步骤、并利用外部知识来解决问题。该项目强调智能体的自主性和适应性，使其能够在不同的环境中学习和改进。该项目包含多种推理策略和算法，例如思维链（Chain of Thought）和知识图谱推理。Agentic-Reasoning的目标是推动人工智能领域的发展，使智能体能够更好地理解和解决现实世界的问题。项目鼓励社区参与，共同探索智能体推理的未来方向。开发者可以通过该项目学习到构建智能体的关键技术和方法，并参与到开源社区的贡献中。该项目目前正在积极开发中，未来将推出更多功能和特性。 (A01_文本生成_文本对话 / 大语言对话模型及数据)
README
# Agentic Reasoning: Reasoning LLM with Agentic Tools
An open-source framework for deep research and beyond. The core idea is to integrate agentic tools into LLM reasoning.
Warning: Still in development. Theoretically runnable, but undergoing rapid updates.
## Install
install from environment.yml, e.g.
```
conda env create -f environment.yml
```
## Run
export your remote LLM API key in environment if you are using remote LLM, e.g.
```
export OPENAI_API_KEY="your openai api key"
```
export your you.com api key in environment if you are using deep research
```
export YDC_API_KEY="your you.com api key"
```
prepare JINA and BING API key if needed
run command:
```
python scripts/run_agentic_reason.py \
--use_jina True \
--jina_api_key "your jina api key" \
--bing_subscription_key "your bing api key"\
--remote_model "your remote model name, e.g. gpt-4o" \
--mind_map True \ (optional)
--deep_research True \ (optional, if you want to use deep research)
```
## TODO LIST
- [ ] auto research
- [ ] clean agentic reasoning
## Thanks
Code copied a lot from ...
## Ref
~~~
@misc{wu2025agenticreasoningreasoningllms,
title={Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research},
author={Junde Wu and Jiayuan Zhu and Yuyuan Liu},
year={2025},
eprint={2502.04644},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2502.04644},
}
~~~