AgentIndex icon
AgentIndex
skylos logo
skylos
★ 848
vs
deep-research logo
deep-research
★ 4.7k

skylos vs deep-research

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.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

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 →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
skylos logoskylos
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 848
★ 4.7k
License
NOASSERTION
MIT
Install Command
pip install skylos
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Static Analysis, SAST, Dead Code Detection
AI Research, LLM, Privacy-focused
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.
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
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.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between skylos and deep-research?
Both skylos and deep-research are in the RAG / Knowledge Base category. skylos has 848 stars, while deep-research has 4.7k stars.
Which is better, skylos or deep-research?
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 deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is skylos free or open source?
Yes, skylos is open source on GitHub (NOASSERTION).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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