AI Context Flow

List all memory buckets (AI profiles) for the authenticated user. Each bucket is a themed collection of documents, notes, and files. Returns bucket IDs, names, and item counts. Use this first to discover available memory buckets before browsing or searching their contents. Ret...

No parameter schema in public metadata yet.

List all stored items (documents, files, notes) inside a specific memory bucket. Returns item metadata including title, description, source type, file name, size, and chunk count — but not the actual content. Use this to browse what's stored in a bucket before reading or searc...

Search across the user's stored memory using semantic vector similarity. Finds relevant content even when the query doesn't exactly match stored text. Searches all memory buckets by default, or specify bucket IDs to narrow scope. Searches across both owned and shared buckets a...

Read the full content of a specific stored memory item (document, file, or note). Returns the actual text content with pagination support for large documents. Use start_chunk and limit to read specific portions — defaults to returning all content. Use this after finding an ite...

Save text content to a specific memory bucket. IMPORTANT — Before calling this tool: 1. Call get_user_memory_buckets to list available buckets 2. Ask the user which bucket to save to, or offer to create a new one 3. If the user wants a new bucket, call create_memory_bucket fir...

Save a conversation (chat history) to a specific memory bucket. IMPORTANT — Before calling this tool: 1. Call get_user_memory_buckets to list available buckets 2. Ask the user which bucket to save to, or offer to create a new one 3. If the user wants a new bucket, call create_...

Create a new memory bucket (AI profile) for organizing saved content. Only use this when the user explicitly wants a new bucket. Always ask the user for confirmation before creating. Args: bucket_name: A descriptive name for the new bucket.