AgentIndex icon
AgentIndex
Wax logo
Wax
★ 805
vs
GPT Researcher logo
GPT Researcher
★ 30.2k

Wax vs GPT Researcher

Wax: Wax provides persistent, searchable, and private on-device memory for iOS and macOS AI agents, eliminating the need for servers or cloud services. It integrates document storage, semantic search (HNSW), full-text search (BM25), and token budgeting into a single, crash-safe .wax file.; GPT Researcher: GPT Researcher is an open-source LLM agent designed for deep, structured research on any topic using web and local sources. It produces detailed reports with citations by running parallel research agents, scraping relevant sources, filtering content, and synthesizing findings. Supports local document research, customizable report formats, and multiple LLM backends including OpenAI, Anthropic, and Ollama.

01

TL;DR

Wax logo
WaxRAG / Knowledge Base · ★ 805

Conversational agents remembering user preferences

Read Wax full review →
GPT Researcher logo
GPT ResearcherRAG / Knowledge Base · ★ 30.2k
When to choose:
  • You want an Apache-2.0 agent that plans sub-questions, searches the web and local documents in parallel, and writes 2,000+ word reports with citations.
  • You want to use it as a Python library, standalone web app, or MCP-connected research skill with PDF/Word export.
When to skip:
  • You want a general-purpose super-agent harness with a bash sandbox, persistent memory, and Feishu/WeCom/Slack bots; DeerFlow is built for that.
  • You do not want per-report search API (e.g. Tavily) and multi-call LLM token costs.
Read GPT Researcher full review →
02

Side-by-Side Comparison

Field
Wax logoWax
GPT Researcher logoGPT Researcher
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 805
★ 30.2k
License
Apache-2.0
Apache-2.0
Install Command
Add to Package.swift dependencies: .package(url: "https://github.com/christopherkarani/Wax.git", from: "0.1.8")
pip install gpt-researcher
Updated
3w ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, On-device AI, Vector Database
AI Agent, Deep Research, Web Scraping
03

Features

Wax logoWax
01Hybrid retrieval (BM25 + HNSW)
02On-device embeddings (MiniLM)
03Metal acceleration for GPU
04Automatic token budgeting
05Single portable .wax file
GPT Researcher logoGPT Researcher
01Parallel research agents scraping and synthesizing multiple web sources simultaneously
02Generates structured reports with citations in Markdown, PDF, or Word format
03Supports local document research in addition to web search
04Customizable report types: research reports, outlines, resource lists, and more
05Compatible with OpenAI, Anthropic, Groq, Ollama, and other LLM providers
04

Use Cases

Wax logoWax
↳Conversational agents remembering user preferences
↳Note-taking apps with semantic search
↳Personal assistants learning habits privately
↳On-device RAG pipelines for sensitive data
GPT Researcher logoGPT Researcher
↳Automating deep research reports on any topic with sourced citations
↳Conducting market research, competitive analysis, or literature reviews at scale
↳Building research pipelines that combine web search with local knowledge base retrieval
05

Best For

Wax logoWax
—
GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between Wax and GPT Researcher?
Both Wax and GPT Researcher are in the RAG / Knowledge Base category. Wax has 805 stars, while GPT Researcher has 30.2k stars.
Which is better, Wax or GPT Researcher?
The best choice depends on your use case. Choose Wax if Conversational agents remembering user preferences, and GPT Researcher if Automating deep research reports on any topic with sourced citations.
Is Wax free or open source?
Yes, Wax is open source on GitHub (Apache-2.0).
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
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