AgentIndex icon
AgentIndex
code-graph-context logo
code-graph-context
★ 17
vs
deep-research logo
deep-research
★ 4.7k

code-graph-context vs deep-research

code-graph-context: Code Graph Context is an MCP server that builds a semantic graph of TypeScript codebases, enabling AI assistants like Claude to understand dependencies, perform impact analysis, and coordinate multi-file changes. It supports local or OpenAI embeddings, incremental parsing, and swarm coordination for parallel refactoring.; 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

code-graph-context logo
code-graph-contextRAG / Knowledge Base · ★ 17

Understand codebase dependencies and perform refactoring risk analysis

Read code-graph-context 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
code-graph-context logocode-graph-context
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 17
★ 4.7k
License
MIT
MIT
Install Command
npm install -g code-graph-context && code-graph-context init
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
1w ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-code-analysis, claude-code, code-graph-rag
AI Research, LLM, Privacy-focused
03

Features

code-graph-context logocode-graph-context
01Multi-project support with complete isolation
02Semantic code search via vector embeddings
03Framework-aware parsing with custom schema support
04Weighted graph traversal for impact analysis
05Swarm coordination for parallel multi-agent tasks
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

code-graph-context logocode-graph-context
↳Understand codebase dependencies and perform refactoring risk analysis
↳Find duplicate code, dead code, and semantic similarities
↳Coordinate multiple AI agents for parallel code changes
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 code-graph-context and deep-research?
Both code-graph-context and deep-research are in the RAG / Knowledge Base category. code-graph-context has 17 stars, while deep-research has 4.7k stars.
Which is better, code-graph-context or deep-research?
The best choice depends on your use case. Choose code-graph-context if Understand codebase dependencies and perform refactoring risk analysis, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is code-graph-context free or open source?
Yes, code-graph-context is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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Alternatives to code-graph-context →Alternatives to deep-research →code-graph-context details →deep-research details →