AgentIndex icon
AgentIndex
GPT Researcher logo
GPT Researcher
★ 30.2k
vs
post-cortex logo
post-cortex
★ 20

GPT Researcher vs post-cortex

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.; post-cortex: Post-Cortex is an MCP server that provides AI assistants with persistent memory. It stores conversations, decisions, and insights in a searchable knowledge base with automatic entity extraction. All processing runs locally with no external API calls, ensuring privacy.

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 →
post-cortex logo
post-cortexRAG / Knowledge Base · ★ 20

AI assistants with long-term memory across conversations

Read post-cortex full review →
02

Side-by-Side Comparison

Field
GPT Researcher logoGPT Researcher
post-cortex logopost-cortex
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30.2k
★ 20
License
Apache-2.0
MIT
Install Command
pip install gpt-researcher
cargo install post-cortex-daemon --features "embeddings,surrealdb-storage"
Updated
1w ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent, Deep Research, Web Scraping
ai, ai-memory, graph-rag
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
post-cortex logopost-cortex
01Persistent memory across sessions
02Semantic search with multilingual embedding
03Graph-RAG for enriched search results
04Knowledge graph with typed entities and relations
05Non-blocking writes with low latency
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
post-cortex logopost-cortex
↳AI assistants with long-term memory across conversations
↳Knowledge management and retrieval for multi-session projects
↳Privacy-first local memory for AI tools
05

Best For

GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
post-cortex logopost-cortex
—
FAQ

FAQ

What is the difference between GPT Researcher and post-cortex?
Both GPT Researcher and post-cortex are in the RAG / Knowledge Base category. GPT Researcher has 30.2k stars, while post-cortex has 20 stars.
Which is better, GPT Researcher or post-cortex?
The best choice depends on your use case. Choose GPT Researcher if Automating deep research reports on any topic with sourced citations, and post-cortex if AI assistants with long-term memory across conversations.
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
Is post-cortex free or open source?
Yes, post-cortex is open source on GitHub (MIT).
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