Agent-Framework-Samples
★ 389
vs
deep-research
★ 4.7k
Agent-Framework-Samples vs deep-research
Agent-Framework-Samples: This repository offers a comprehensive guide to building intelligent agents with the Microsoft Agent Framework. It provides practical examples and tutorials for both Python and .NET implementations, covering core concepts, tool integration, RAG, and multi-agent systems.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.
01
TL;DR
Agent-Framework-SamplesRAG / Knowledge Base · ★ 389
Building travel planning agents
deep-researchRAG / Knowledge Base · ★ 4.7k
Rapidly generate in-depth research reports for personal and professional use.
02
Side-by-Side Comparison
Field
Agent-Framework-Samplesdeep-researchCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 389
★ 4.7k
License
MIT
MIT
Install Command
git clone https://github.com/microsoft/agent-framework.git && cd agent-framework/python && pip install -e .
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
3mo ago
4mo ago
Open Source
Yes
Yes
Tags
AI Agents, Python, .NET
AI Research, LLM, Privacy-focused
03
Features
Agent-Framework-Samples01Multiple Provider Support
02Tool Integration
03RAG Capabilities
04Multi-Agent Orchestration
05Evaluation & Debugging
deep-research01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04
Use Cases
Agent-Framework-Samples↳Building travel planning agents
↳Developing knowledge-enhanced agents with RAG for file search
↳Orchestrating multi-agent systems for complex workflows like marketing content generation
deep-research↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
05
Best For
Agent-Framework-SamplesHidden Gem
deep-research—
FAQ
FAQ
What is the difference between Agent-Framework-Samples and deep-research?
Both Agent-Framework-Samples and deep-research are in the RAG / Knowledge Base category. Agent-Framework-Samples has 389 stars, while deep-research has 4.7k stars.
Which is better, Agent-Framework-Samples or deep-research?
The best choice depends on your use case. Choose Agent-Framework-Samples if Building travel planning agents, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is Agent-Framework-Samples free or open source?
Yes, Agent-Framework-Samples is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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