Overview
Librarian is the AI assistant built into Neuradex. It’s not just a chatbot—it answers questions while referencing all knowledge in your project and automatically records new knowledge discovered through conversations.Features
Knowledge-Powered Conversations
When Librarian receives a question, it automatically searches knowledge within the project.- Knowledge: Prioritizes confirmed facts
- SourceContent: Extracts relevant information from documents
- Episode: Can also reference past conversations and work history
Automatic Knowledge Recording
Facts discovered during conversations are automatically recorded as Knowledge by Librarian.Conversation History
All conversations are automatically saved as Episodes. You can search for “what we discussed” later.Context Management
Even in long conversations, proprietary technology enables efficient memory utilization. Relevant information is properly retained while unnecessary information is automatically organized.Autonomous Agent Behavior
Librarian doesn’t just answer questions—it autonomously selects and calls tools in iterative loops. Under the hood, a proprietary agent architecture drives the Librarian, where the LLM autonomously selects and executes tools in a loop. For a single question, it automatically performs multi-step processing: search → analyze → additional search → respond.Semantic Knowledge Search
Understands query intent and explores related knowledge through multi-hop traversal
Auto-Extract & Update Facts
Detects new facts from conversations and suggests linking to existing knowledge
Change History Tracking
Records knowledge changes as episodes, tracking “who changed what, when”
Auto-Discover Relationships
Automatically detects references, extends, contradicts, and supersedes relationships between knowledge
Approval Flow
Before adding, updating, or deleting knowledge, Librarian always shows a proposal and asks for user approval.Use Cases
Understanding Project Status
Cross-searches multiple knowledge items and Q&A history to summarize the latest status, such as “What was decided last week?” or “What tasks are incomplete?”Document Search
Finds relevant documents and extracts the needed information — for example, API authentication details or deployment procedures.Recording Knowledge
Extracts facts from conversations (e.g., “We’ve decided to use JWT for authentication”) and registers them as knowledge after approval.Librarian Workflow
Difference from Chatbots
| Librarian | Chatbot | |
|---|---|---|
| Purpose | Utilize project-wide knowledge | Customer support for specific use cases |
| Access | Dashboard, API, MCP | Website-embedded Widget |
| Conversation Recording | Saved as Episodes | Saved as Episodes |
| Auto Knowledge Creation | Yes (extracts facts from conversations) | No |
| Users | Project members | End users |
Librarian can also be used by AI agents like Claude through the MCP server. It serves as long-term memory for AI agents.
Sessions
Conversations with Librarian are managed in “sessions.” Context is maintained within the same session, and you can start a new session for each topic. Access programmatically via the Librarian API.Next Steps
Data Types
Understand Knowledge & Episode
Librarian API
How to access via SDK

