WenyuChiou/research-hub
Description and use
**Research Hub: A Unified AI-Operable Workspace**
The WenyuChiou/research-hub is an open-source project that offers a research workspace that seamlessly integrates with Zotero, Obsidian, and NotebookLM, enabling users to connect AI assistants to real tools and data through a standard protocol. This integration empowers users to leverage the strengths of each tool, streamlining their research workflow. By adopting this project, users can standardize integrations, connect AI agents to tools, and ship Model Context Protocol servers.
**Value Proposition:**
The Research Hub's value lies in its ability to standardize integrations between AI assistants and research tools, making it easier for users to connect and leverage the capabilities of each tool. This standardization enables users to focus on their research rather than navigating complex integrations.
**Practical Adoption Path:**
To adopt the Research Hub, users can start by exploring the project's documentation and APIs. They can begin by using the CLI, MCP, REST, or dashboard to connect their AI assistants to Zotero, Obsidian, and NotebookLM. Users can also evaluate the project's implementation signals, such as API/SDK/CLI, language metadata, or focused topics, to determine its suitability for their research needs.
**Production Readiness:**
The
Use in a workflow
WenyuChiou/research-hub helps connect AI assistants to real tools and data through a standard protocol.
- connect AI agents to tools
- ship Model Context Protocol servers
- standardize integrations
Limitations and review notes
High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.
- Source: github
- Language: Python
- Record date: 2026-09-05T17:32:23.519Z