AgentIndex icon
AgentIndex
hyperresearch logo
hyperresearch
★ 4.2k
vs
MaxKB logo
MaxKB
★ 23.1k

hyperresearch vs MaxKB

hyperresearch: Hyperresearch is a deep research harness installed into Claude Code or OpenAI Codex, running a tier-adaptive 16-step pipeline that turns one prompt into an adversarially audited report with full source provenance. Every source it reads is stored in a searchable markdown-plus-SQLite vault that later sessions reuse.; MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.

01

TL;DR

hyperresearch logo
hyperresearchRAG / Knowledge Base · ★ 4.2k

Produce a sourced competitor or market analysis

Read hyperresearch full review →
MaxKB logo
MaxKBRAG / Knowledge Base · ★ 23.1k
When to choose:
  • You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
  • You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
When to skip:
  • You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
  • Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
Read MaxKB full review →
02

Side-by-Side Comparison

Field
hyperresearch logohyperresearch
MaxKB logoMaxKB
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 4.2k
★ 23.1k
License
MIT
GPL-3.0
Install Command
pip install hyperresearch && hyperresearch install
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
deep-research, claude-code, codex
RAG, Agent, LLM
03

Features

hyperresearch logohyperresearch
0116-step pipeline with a fast path for bounded questions
02Cite-checker verifies each citation supports its sentence before the report ships
03One search across OpenAlex, Crossref, CORE, ClinicalTrials.gov, SEC EDGAR and FRED
04Fetches legal open-access copies of paywalled papers via Unpaywall, Europe PMC and CORE
05Persistent source vault and resumable runs
MaxKB logoMaxKB
01RAG pipeline with document upload, web crawling, and automatic chunking
02Visual workflow builder for multi-step agent logic
03MCP tool-use capabilities for connecting to external services
04Supports multiple LLMs and embedding models
05Docker deployment with 1Panel integration for easy self-hosting
04

Use Cases

hyperresearch logohyperresearch
↳Produce a sourced competitor or market analysis
↳Run a literature review across papers, trials and filings
↳Build up a reusable research vault for a project
MaxKB logoMaxKB
↳Building intelligent customer service bots with enterprise knowledge bases
↳Creating internal Q&A systems over company documents and wikis
↳Deploying research assistants with RAG over academic or technical document collections
05

Best For

hyperresearch logohyperresearch
—
MaxKB logoMaxKB
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between hyperresearch and MaxKB?
Both hyperresearch and MaxKB are in the RAG / Knowledge Base category. hyperresearch has 4.2k stars, while MaxKB has 23.1k stars.
Which is better, hyperresearch or MaxKB?
The best choice depends on your use case. Choose hyperresearch if Produce a sourced competitor or market analysis, and MaxKB if Building intelligent customer service bots with enterprise knowledge bases.
Is hyperresearch free or open source?
Yes, hyperresearch is open source on GitHub (MIT).
Is MaxKB free or open source?
Yes, MaxKB is open source on GitHub (GPL-3.0).
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