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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Salesforce Enterprise Deep Research
| Date | Stars |
|---|---|
| 2026-07-24 | 1194 |
| 2026-07-25 | 1194 |
| 2026-07-28 | 1194 |
| 2026-07-30 | 1194 |
| 2026-08-06 | 1194 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<p align="center">
<img src="assets/edr-logo.png" alt="EDR Logo"/>
</p>
<p align="center">
<a href="https://www.python.org/downloads/">
<img src="https://img.shields.io/badge/python-3.11+-blue.svg" alt="Python 3.11+">
</a>
<a href="https://arxiv.org/abs/2510.17797">
<img src="https://img.shields.io/badge/arXiv-2510.17797-b31b1b.svg" alt="arXiv">
</a>
<a href="https://huggingface.co/datasets/Salesforce/EDR-200">
<img src="https://img.shields.io/badge/🤗%20Hugging%20Face-EDR--200%20Dataset-blue" alt="HF Dataset">
</a>
<a href="https://deepwiki.com/SalesforceAIResearch/enterprise-deep-research">
<img src="https://img.shields.io/badge/Documentation-DeepWiki-00A86B?style=flat&logo=book&logoColor=white" alt="DeepWiki Documentation">
</a>
<a href="https://opensource.org/licenses/Apache-2.0">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License: Apache 2.0">
</a>
<a href="https://github.com/SalesforceAIResearch/enterprise-deep-research/stargazers">
<img src="https://img.shields.io/github/stars/SalesforceAIResearch/enterprise-deep-research.svg" alt="GitHub stars">
</a>
<a href="https://x.com/SFResearch/status/1981831647277297799">
<img src="https://img.shields.io/badge/Follow%20us%20on-X-1DA1F2?style=flat&logo=x&logoColor=white" alt="Follow us on X">
</a>
<a href="https://www.linkedin.com/posts/weiranyao_agenticai-deepresearch-enterpriseai-activity-7386248260388298752-Q6I4?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB5LMXoBvpSjjHtk7HQatx3eDUEFvmo7azo">
<img src="https://img.shields.io/badge/Follow%20us%20on-LinkedIn-0077B5?style=flat&logo=linkedin&logoColor=white" alt="Follow us on LinkedIn">
</a>
</p>
## 📰 News
- **2025/12/12**: 🥇 EDR **ranks #1** on the [LiveResearchBench leaderboard](https://livedeepresearch.github.io/#leaderboard)!
- **2025/11/15**: Our technical report is accepted at AAAI Agentic AI Benchmarks and Applications Workshop.
- **2025/11/13**: EDR is officially on the **[DeepResearchBench leaderboard](https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard)**
---
We present **Enterprise Deep Research (EDR)**, a multi-agent system that integrate:
- Master Planning Agent for adaptive query decomposition.
- Four specialized search agents (General, Academic, GitHub, LinkedIn).
- Extensible MCP-based tool ecosystem supporting NL2SQL, file analysis, and enterprise workflows.
- Visualization Agent for data-driven insights.
- Reflection mechanism that detects knowledge gaps and updates research direction with optional human-in-the-loop steering guidance.
- Real-time steering commands for continuous research refinement.
> [!Note]
> These components enable automated report generation, real-time streaming, and seamless enterprise deployment, as validated on internal datasets.
## 🎥 Demo
We present a video demo of using EDR in web application for enterprise deep data analysis.
#### EDR: Web Application
<https://github.com/user-attachments/assets/b40b6131-3b7c-4e5f-8de3-91a4047ade58>
> [!Note]
> Multi-provider LLM support • Slack agent • Real-time streaming • Document analysis • Citation management • Parallel processing • Specialized benchmarking • Human-in-the-loop steering
## 🚀 Quick Start
**Requirements**: Python 3.11+ • Node.js 20.9.0+
### Installation & Setup
```bash
# Clone and setup
git clone https://github.com/SalesforceAIResearch/enterprise-deep-research.git
cd enterprise-deep-research
# Python environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
# Configure environment
cp .env.sample .env
# Edit .env with your API keys
# Frontend setup
cd ai-research-assistant && npm install && npm run build && cd ..
```
### Environment Configuration
**Required Variables:**
- `TAVILY_API_KEY` - Tavily search API key
- **One LLM provider key:**
- `OPENAI_API_KEY` - OpenAI API key
- `Excerpt of 9,724 characters
Read on GitHub
20
13
Salesforce OSPO Service Bot
2
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:79092b8910169e85, topic:multi-agent-systems, readme:multi-agent, readme:multi agent