Thoth FAQs

Question 1

How does Thoth remember past conversations and research context?

Accepted Answer

Thoth leverages 'Letta-Powered Persistent Memory'. This self-editing memory architecture allows the AI agent to retain context, user preferences, and research history across multiple sessions, ensuring continuity in your workflow without constant re-explanation.

Question 2

What is Thoth and what problem does it solve?

Accepted Answer

Thoth is an advanced AI-powered research assistant system built for ultimate flexibility and user control. It solves the problem of rigid existing research tools by allowing comprehensive customization of prompts, extraction schemas, and sources, all accessible via a natural language interface.

Question 3

How does Thoth ensure my data privacy?

Accepted Answer

Thoth is designed with a 'Fully Local & Privacy-First' approach. All research data processing occurs directly on your machine, ensuring your sensitive information never leaves your system and giving you complete control over storage.

Question 4

Can I customize the way Thoth extracts information or uses sources?

Accepted Answer

Absolutely. Thoth offers complete customization. You can edit every LLM prompt, define custom extraction schemas for metadata, add new academic sources via a plugin architecture, and even use an LLM-powered scraper to automatically integrate any URL as a research source.

Question 5

Does Thoth integrate with other tools or systems?

Accepted Answer

Yes, Thoth features an 'MCP-Native Tool System' with 64 built-in tools and supports the integration of any MCP tools from the ecosystem. It also offers dynamic skill loading and an Obsidian plugin for seamless workflow integration.

Thoth

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Key Features

Use Cases

Key Features

Use Cases