AgentIndex icon
AgentIndex
search-boost logo
search-boost
★ 58
vs
deep-research logo
deep-research
★ 4.7k

search-boost vs deep-research

search-boost: SearchBoost is a multi-engine web search and evidence synthesis tool specifically designed for AI coding agents. It provides a unified core runtime across various host ecosystems, enabling parallel multi-agent research workflows with zero-config onboarding and strong security.; 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

search-boost logo
search-boostRAG / Knowledge Base · ★ 58

Empowering AI coding agents with advanced web search.

Read search-boost full review →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
search-boost logosearch-boost
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 58
★ 4.7k
License
MIT
MIT
Install Command
npm install -g search-boost && search-boost
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
5d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-engine Search, Web Scraper, AI Agent Tooling
AI Research, LLM, Privacy-focused
03

Features

search-boost logosearch-boost
01Multi-Engine Parallel Search and Re-ranking
02Clean Webpage Content Extraction
03Native Multi-Agent Parallel Research Workflows
04Unified Core Runtime for Diverse Host Ecosystems
05Zero-Config Onboarding and Strict Security
deep-research logodeep-research
01Rapidly 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

search-boost logosearch-boost
↳Empowering AI coding agents with advanced web search.
↳Automating parallel information gathering for research tasks.
↳Synthesizing evidence from multiple web sources for AI decision-making.
↳Integrating search functionalities across different LLM host platforms.
deep-research logodeep-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.
FAQ

FAQ

What is the difference between search-boost and deep-research?
Both search-boost and deep-research are in the RAG / Knowledge Base category. search-boost has 58 stars, while deep-research has 4.7k stars.
Which is better, search-boost or deep-research?
The best choice depends on your use case. Choose search-boost if Empowering AI coding agents with advanced web search., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is search-boost free or open source?
Yes, search-boost 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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