# Multiplist

> Multiplist is a meaning operating system that solves AI amnesia — the systematic loss of insight buried inside conversations, notes, and documents. It extracts decisions, frameworks, and key passages from AI conversations and organizes them into a persistent, searchable vault with full provenance.

## What Multiplist Does

Multiplist turns ephemeral AI conversations into durable, traceable knowledge. Where most AI systems generate output and let the thinking disappear, Multiplist preserves what matters so insight can compound instead of evaporate.

- **9-Category Extraction**: Automatically extracts decisions, frameworks, key passages, questions, action items, preferences, mental models, references, and emotional context from conversations
- **Cross-Model Memory**: Works as an MCP server that connects to Claude, ChatGPT, and Perplexity — giving all your AI tools access to the same persistent knowledge vault
- **Provenance Tracking**: Every extracted insight points back to its source context with full citation trails
- **Workspace Composition**: Organize knowledge into boards, lanes, and containers directly through conversation — no setup screens, no executive function tax
- **Voice Packs**: Capture your tone, vocabulary, and style rules so AI outputs match your authentic voice

## Who It's For

Multiplist is built for people who think seriously with AI — founders, operators, researchers, coaches, and creators whose best ideas currently vanish into scrollback.

## Key Concepts

- **AI Amnesia**: The systematic loss of valuable insights, frameworks, and decisions that occur during ephemeral AI conversations
- **Meaning Layer**: An external knowledge system that captures what you've told AI and feeds it back automatically in future sessions
- **Context Bridge**: The MCP-based connection that lets Claude and ChatGPT share the same knowledge vault
- **Live Memory Loop**: A workflow where conversation context survives session boundaries and model switches

## Documentation

- Getting Started: https://multiplist.ai/docs/getting-started
- MCP Tools Reference: https://multiplist.ai/docs/mcp-tools
- MCP Flow Map: https://multiplist.ai/docs/mcp-flow-map
- Learn: https://multiplist.ai/learn

## Links

- Website: https://multiplist.ai
- Studio: https://multiplist.ai
- Blog: https://multiplist.ai/blog

## Full Documentation

For comprehensive documentation, see: https://multiplist.ai/llms-full.txt