Chronicle Beta

Example Use Cases

• 1

  Semantically search and retrieve relevant context from personal AI conversation histories.

• 2

  A local, privacy-preserving vector store for retrieval augmented generation (RAG).

• 3

  Integration with any LLM via MCP for enhanced answer synthesis using past conversations.

Description

Chronicle Beta ingests exported AI conversations, embeds them into a local vector store, and exposes a retrieval interface via the Model Context Protocol (MCP). It enables LLMs like Claude to semantically search conversation history for relevant context, past decisions, and ideas on demand. The system is fully local, privacy-focused, and requires no cloud dependencies or API keys, making it secure and self-contained.