AgentIndex icon
AgentIndex
Connapse logo
Connapse
★ 21
vs
deep-research logo
deep-research
★ 4.7k

Connapse vs deep-research

Connapse: Connapse is an open-source knowledge backend that gives AI agents persistent, searchable memory. Upload documents or connect to existing storage like Amazon S3, Azure Blob Storage, or local filesystems. Agents query and build their own research corpus via MCP, REST API, or CLI, deployable in 60 seconds with Docker.; 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

Connapse logo
ConnapseRAG / Knowledge Base · ★ 21

AI agent developers needing a knowledge backend for query and curation via MCP or REST

Read Connapse 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
Connapse logoConnapse
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 21
★ 4.7k
License
MIT
MIT
Install Command
git clone https://github.com/Destrayon/Connapse.git && cd Connapse && docker-compose up -d
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
ai, ai-agents, blazor
AI Research, LLM, Privacy-focused
03

Features

Connapse logoConnapse
01Container-Isolated Knowledge with per-project vector indexes and storage connectors
02Hybrid Search combining vector similarity and keyword full-text with configurable fusion
03Multi-Provider AI - swap between Ollama, OpenAI, Azure OpenAI, and Anthropic at runtime
04Index Your Existing Storage - connect MinIO, local filesystem, Amazon S3, or Azure Blob Storage
054 Access Surfaces - Web UI, REST API, CLI, and MCP server with 11 tools for Claude
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

Connapse logoConnapse
↳AI agent developers needing a knowledge backend for query and curation via MCP or REST
↳.NET / Azure teams wanting a RAG platform that fits their existing stack and cloud identity
↳Enterprise teams requiring project-isolated knowledge bases with RBAC and audit trails
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 Connapse and deep-research?
Both Connapse and deep-research are in the RAG / Knowledge Base category. Connapse has 21 stars, while deep-research has 4.7k stars.
Which is better, Connapse or deep-research?
The best choice depends on your use case. Choose Connapse if AI agent developers needing a knowledge backend for query and curation via MCP or REST, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is Connapse free or open source?
Yes, Connapse 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 Connapse →Alternatives to deep-research →Connapse details →deep-research details →