GPT Researcher logo
GPT Researcher
★ 30.2k
vs
tela logo
tela
★ 85

GPT Researcher vs tela

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.; tela: tela is a self-hostable, markdown-native team wiki designed for AI agents as first-class authors and readers. It automatically generates and maintains wiki pages from your code, offering advanced search capabilities and live collaboration.

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.
tela logo
telaRAG / Knowledge Base · ★ 85

Building and maintaining internal team wikis and documentation.

02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
tela logotela
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 85
License
Apache-2.0
AGPL-3.0
Install Command
pip install gpt-researcher
git clone https://github.com/zcag/tela.git && cd tela && make setup && make up
Updated
1w ago
1w ago
Open Source
Yes
Yes
Tags
AI Agent, Deep Research, Web Scraping
Team Wiki, Knowledge Base, Markdown
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
tela logotela
01Automated documentation generation from code sources using Atlas.
02Integrated Model Context Protocol (MCP) server for seamless AI agent interaction.
03Ranked full-text and pgvector-backed semantic search capabilities.
04Real-time multi-user collaboration with Yjs in a Milkdown editor.
05Self-hostable with data ownership in canonical Markdown format and WebDAV sync.
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
tela logotela
↳Building and maintaining internal team wikis and documentation.
↳Automating documentation updates directly from code repositories.
↳Serving as a searchable and writable knowledge base for AI agents.
↳Collaborative real-time editing of technical documentation.
↳Deploying a self-managed knowledge platform with full data control.
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
tela logotela
—
FAQ

FAQ

What is the difference between GPT Researcher and tela?
Both GPT Researcher and tela are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while tela has 85 stars.
Which is better, GPT Researcher or tela?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and tela if Building and maintaining internal team wikis and documentation..
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is tela free or open source?
Yes, tela is open source on GitHub (AGPL-3.0).
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