AgentIndex icon
AgentIndex
skylos logo
skylos
★ 848
vs
GPT Researcher logo
GPT Researcher
★ 30.2k

skylos vs GPT Researcher

skylos: Skylos is a privacy-first, hybrid static analysis tool designed for Python, TypeScript, and Go. It excels at detecting dead code, critical security vulnerabilities like SQL injection and hardcoded secrets, and various code quality issues, bridging traditional static analysis with advanced AI agent capabilities.; 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

skylos logo
skylosRAG / Knowledge Base · ★ 848

Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings.

Read skylos 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
skylos logoskylos
GPT Researcher logoGPT Researcher
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 848
★ 30.2k
License
NOASSERTION
Apache-2.0
Install Command
pip install skylos
pip install gpt-researcher
Updated
Today
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Static Analysis, SAST, Dead Code Detection
AI Agent, Deep Research, Web Scraping
03

Features

skylos logoskylos
01Hybrid Static Analysis with AI Agents: Combines traditional static analysis with optional local/cloud LLMs to eliminate false positives and find deep logic bugs.
02Comprehensive Code Auditing: Detects dead code, security vulnerabilities (SAST including SQLi, SSRF, secrets), and code quality issues (complexity, nesting) across multiple languages.
03Automated Remediation & CI/CD Integration: Offers automated fixes and end-to-end remediation via AI agents, and seamlessly integrates into CI/CD pipelines for PR guarding, annotations, and quality gates.
04Multi-Language Support & Privacy-First: Supports Python, TypeScript, and Go with 100% local analysis options, ensuring code privacy.
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

skylos logoskylos
↳Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings.
↳Deep Security Auditing of Python, TypeScript, and Go Applications: Perform comprehensive SAST, including taint analysis, secrets detection, and vulnerability checks, across multi-language repositories.
↳Intelligent Dead Code Elimination and Codebase Optimization: Accurately identify and safely remove unreachable functions, classes, and unused imports, leveraging hybrid analysis to distinguish true dead code from framework magic.
↳AI-Assisted Code Remediation and PR Review: Utilize AI agents for context-aware audits, automated fixes, and end-to-end remediation, including generating and validating fixes, and posting inline PR review comments.
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

skylos logoskylos
—
GPT Researcher logoGPT Researcher
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between skylos and GPT Researcher?
Both skylos and GPT Researcher are in the RAG / Knowledge Base category. skylos has 848 stars, while GPT Researcher has 30.2k stars.
Which is better, skylos or GPT Researcher?
The best choice depends on your use case. Choose skylos if Automating Code Quality in CI/CD: Integrate Skylos into GitHub Actions to automatically detect dead code, security vulnerabilities, and quality issues on every Pull Request, failing builds on critical findings., and GPT Researcher if Automating deep research reports on any topic with sourced citations.
Is skylos free or open source?
Yes, skylos is open source on GitHub (NOASSERTION).
Is GPT Researcher free or open source?
Yes, GPT Researcher is open source on GitHub (Apache-2.0).
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