arbor
★ 161
vs
deep-research
★ 4.7k
arbor vs deep-research
arbor: Arbor builds a semantic dependency graph for codebases, enabling deterministic impact analysis, symbol resolution, and git-aware risk gating. It provides a CLI, GUI, and MCP integration to help developers understand and control the consequences of changes before they happen.; 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
arborRAG / Knowledge Base · ★ 161
Impact analysis before refactoring
deep-researchRAG / Knowledge Base · ★ 4.7k
Rapidly generate in-depth research reports for personal and professional use.
02
Side-by-Side Comparison
Field
arbordeep-researchCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 161
★ 4.7k
License
MIT
MIT
Install Command
cargo install arbor-graph-cli
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
ai-tools, ast, code-analysis
AI Research, LLM, Privacy-focused
03
Features
arbor01Blast radius analysis
02Graph-backed symbol resolution
03Unified tooling (CLI + GUI + MCP)
04Git-aware risk gating
05Lightning fast incremental indexing
deep-research01Rapidly 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
arbor↳Impact analysis before refactoring
↳Change risk assessment in CI/CD
↳Exploring codebase architecture intuitively
deep-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 arbor and deep-research?
Both arbor and deep-research are in the RAG / Knowledge Base category. arbor has 161 stars, while deep-research has 4.7k stars.
Which is better, arbor or deep-research?
The best choice depends on your use case. Choose arbor if Impact analysis before refactoring, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is arbor free or open source?
Yes, arbor 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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