AgentIndex icon
AgentIndex
GPT Researcher logo
GPT Researcher
★ 30.2k
vs
samyama-graph logo
samyama-graph
★ 184

GPT Researcher vs samyama-graph

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.; samyama-graph: Samyama is a graph-vector database written in Rust. It supports OpenCypher queries, Redis protocol, vector search, and graph algorithms. It can handle billions of edges on a single machine.

01

TL;DR

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 →
samyama-graph logo
samyama-graphRAG / Knowledge Base · ★ 184

Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)

Read samyama-graph full review →
02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
samyama-graph logosamyama-graph
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 184
License
Apache-2.0
Apache-2.0
Install Command
pip install gpt-researcher
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent, Deep Research, Web Scraping
billion-edges, cypher, cypher-query-language
03

Features

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
samyama-graph logosamyama-graph
01OpenCypher queries
02Redis protocol
03Vector search (HNSW)
04Graph algorithms (PageRank, BFS, etc.)
05Natural language queries (NLQ)
04

Use Cases

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
samyama-graph logosamyama-graph
↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
↳Multi-hop graph traversals
↳Cross-knowledge graph aggregation
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
samyama-graph logosamyama-graph
—
FAQ

FAQ

What is the difference between GPT Researcher and samyama-graph?
Both GPT Researcher and samyama-graph are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while samyama-graph has 184 stars.
Which is better, GPT Researcher or samyama-graph?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and samyama-graph if Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.).
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is samyama-graph free or open source?
Yes, samyama-graph is open source on GitHub (Apache-2.0).
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