DyResearch AI Sidecar

by Dylan Tartarini
5
4
3
2
1
New Plugin

Description

This plugin has not been manually reviewed by Obsidian staff. Bridge to the DyResearch Agent system built with Google ADK.

Reviews

No reviews yet.

Stats

stars
downloads
0
forks
0
days
NaN
days
NaN
days
0
total PRs
0
open PRs
0
closed PRs
0
merged PRs
0
total issues
0
open issues
0
closed issues
0
commits

Latest Version

Invalid date

Changelog

README file from

Github

👨🏻‍🎓 DyResearch

Typescript Plugin for a Multi-Agent AI system designed to aid in studying, learning, and researching topics

[!WARNING]

To use the DyResearch plugin, the user needs to have the DyResearch Server running. Make sure to either:

  • having cloned the repo and started the python server
  • having downloaded and run the standalone installer

enable


🧩 Plugin Functionalities

The DyResearch Obsidian plugin bridges your knowledge base with the intelligent backend, providing:

  • Intelligent Chat: Engage in multi-turn conversations with specialized agents (Professor, Librarian, Researcher) via a chat interface.
  • Knowledge Management: Seamlessly ingest documents into the vector store for RAG-powered retrieval.
  • Session Management: Create, rename, delete, and search through your AI chat sessions directly from Obsidian.
  • History Sync: Review previous chat history and retrieve context from past interactions.
  • Note Taking: Automatically digest information into structured notes with support for Mermaid.js diagrams.

screen


🤖 Agents

A variety of specialized agents using configurable LLMs work together to process requests:

👮🏽‍♀️ Coordinator

The central manager that handles incoming requests from the user and delegates tasks to the appropriate specialized agent.

👨🏻‍🏫 Professor

Handles specific questions and tutoring queries by drawing from its core knowledge or fetching retrieved context directly from the vector store.

👩🏻‍🏫 Librarian

Manages the organization of knowledge within the system. As the owner of the vector store library, the Librarian can:

  • Ingest documents and chunk them to organize information in the vector store.
  • List available sources by title or index.
  • Index different knowledge bases by subject and query them.
  • Cleanup the library by deleting chunks of a single file or a complete index.

👩🏻‍🔬 Researcher

Autonomously navigates the web to find new information, discover fresh sources, and expand the knowledge base, providing up-to-date context to the rest of the system.

🧑🏻‍💻 Note Taker

Responsible for digesting complex information into structured, useful notes specifically formatted for Obsidian or other Markdown tools:

  • Takes detailed notes in .md format.
  • Generates graphs and mind maps using Mermaid.js syntax.

⚙️ Environment Configuration

If you are running the backend yourself, ensure your config.env is configured in the root directory:

# Database Config
POSTGRES_USER=adk_user
POSTGRES_PASSWORD=adk_password
POSTGRES_DB=adk_history

# LLM Providers (Google, Groq, Ollama)
GOOGLE_API_KEY=your_api_key
GROQ_API_KEY=your_api_key
GOOGLE_MODEL_NAME=gemini-3.1-flash-lite-preview

# Embeddings
EMBEDDINGS_TYPE=google
EMBEDDINGS_MODEL_NAME=gemini-embedding-001

settings

💻 Local Development

build the plugin after having modified main.ts or styles.css

    npm install
    npx tsup main.ts --format cjs --external obsidian