Hatchdoor

★ 61

deep-research

★ 4.7k

Hatchdoor vs deep-research

Q: Which is better, Hatchdoor or deep-research?

By GitHub stars, deep-research has more community adoption, but the best choice depends on your specific use case.

Hatchdoor: Hatchdoor is an agent-native, self-hosted web app for managing Obsidian-style Markdown vaults, offering a fast web UI for browsing, searching, and editing notes. It provides AI agents with first-class access to the vault via the Model Context Protocol (MCP) for reading, searching, creating, and editing notes safely. Your Markdown files remain the source of truth, with Hatchdoor building a disposable SQLite read model for performance and features like keyword and semantic 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.

TL;DR

HatchdoorRAG / Knowledge Base · ★ 61

Individuals or teams with a folder of Markdown notes needing a private web interface.

Read Hatchdoor full review →

deep-researchRAG / Knowledge Base · ★ 4.7k

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

Read deep-research full review →

Side-by-Side Comparison

Field

Hatchdoor

deep-research

Features

Hatchdoor

01Web UI for browsing, searching (keyword and semantic), and editing Markdown notes.

02First-class AI agent access to the vault via Model Context Protocol (MCP) with read, search, create, and edit capabilities.

03Automatic git commits and pushes for vault changes, ensuring data safety and version control.

04Support for Obsidian-style wikilinks, GitHub-flavored Markdown, Mermaid diagrams, and frontmatter.

05Distroless, rootless container image for secure and efficient deployment with Docker or Podman.

deep-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.

Use Cases

Hatchdoor

↳Individuals or teams with a folder of Markdown notes needing a private web interface.

↳Developers seeking to integrate AI agents with their personal knowledge base for automated tasks or content generation.

↳Users requiring semantic search and knowledge graph capabilities for their Markdown vault.

↳Anyone wanting a self-hosted, git-backed solution for managing and accessing their Markdown notes.

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

What is the difference between Hatchdoor and deep-research?

Both Hatchdoor and deep-research are in the RAG / Knowledge Base category. Hatchdoor has 61 stars, while deep-research has 4.7k stars.

Which is better, Hatchdoor or deep-research?

The best choice depends on your use case. Choose Hatchdoor if Individuals or teams with a folder of Markdown notes needing a private web interface., and deep-research if Rapidly generate in-depth research reports for personal and professional use..

Is Hatchdoor free or open source?

Yes, Hatchdoor is open source on GitHub (AGPL-3.0).

Is deep-research free or open source?

Yes, deep-research is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to Hatchdoor →Alternatives to deep-research →Hatchdoor details →deep-research details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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