AgentIndex icon
AgentIndex
deep-research logo
deep-research
★ 4.7k
vs
coco-search logo
coco-search
★ 37

deep-research vs coco-search

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.; coco-search: CocoSearch is a local-first hybrid semantic code search tool that combines vector similarity and keyword matching via RRF fusion. It uses CocoIndex for indexing, Tree-sitter for syntax-aware chunking, and PostgreSQL with pgvector for storage. It supports 32 languages, 9 grammars, dependency graphs, cross-repo search, and multiple interfaces.

01

TL;DR

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 →
coco-search logo
coco-searchRAG / Knowledge Base · ★ 37

Exploratory/semantic queries about code functionality

Read coco-search full review →
02

Side-by-Side Comparison

Field
deep-research logodeep-research
coco-search logococo-search
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 4.7k
★ 37
License
MIT
MIT
Install Command
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
pip install cocosearch
Updated
4mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Research, LLM, Privacy-focused
cli, cocoindex, code-explorer
03

Features

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.
coco-search logococo-search
01Hybrid search with RRF fusion
02Symbol filtering by type and name
03Syntax-aware context expansion to function/class boundaries
04Dependency graph extraction and impact analysis
05Cross-index search across multiple codebases
04

Use Cases

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.
coco-search logococo-search
↳Exploratory/semantic queries about code functionality
↳Finding code by meaning rather than exact text
↳AI assistant integration for context-aware code retrieval
FAQ

FAQ

What is the difference between deep-research and coco-search?
Both deep-research and coco-search are in the RAG / Knowledge Base category. deep-research has 4.7k stars, while coco-search has 37 stars.
Which is better, deep-research or coco-search?
The best choice depends on your use case. Choose deep-research if Rapidly generate in-depth research reports for personal and professional use., and coco-search if Exploratory/semantic queries about code functionality.
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
Is coco-search free or open source?
Yes, coco-search is open source on GitHub (MIT).
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Alternatives to deep-research →Alternatives to coco-search →deep-research details →coco-search details →