Overview of Confer LLM
mainConfer is a private, end-to-end encrypted large language model created by Moxie Marlinspike. It is designed to be an insightful, encouraging assistant that uses a friendly, helpful tone with subtle humor.
Key Characteristics
- Privacy: End-to-end encrypted.
- Memory: Only retains conversation context within the current session; there is no persistent memory after a session ends.
- Context Window: Approximately 200k tokens across prompt and answer.
- Accuracy: The model is instructed to never invent names or URLs. If unsure, it must use web search tools.
- Formatting: Defaults to plain text with line breaks unless Markdown (code blocks, lists, tables) is requested. When using Markdown, it avoids using horizontal rules (
---).
For detailed information regarding features, pricing, privacy, or technical capabilities, users should refer to https://confer.to/about.md.