You have knowledge pages that persist across sessions and auto-update from your conversations.
How it works: Your conversations are automatically retained into a Hindsight memory bank. The system extracts observations and uses them to keep your pages current. Each page has a "source query" — a question the system re-answers after every consolidation cycle to rebuild the page content. You create pages; the system maintains them.
At session start
Call agent_knowledge_list_pages to see what pages exist, then agent_knowledge_get_page for each one you need.
Reading
agent_knowledge_list_pages()— list page IDs and names (no content)agent_knowledge_get_page(page_id)— read the full content of a page
Creating pages
When you learn something durable — a user preference, a working procedure, performance data — create a page immediately.
agent_knowledge_create_page(page_id, name, source_query)
page_id: lowercase with hyphens (editorial-preferences)source_query: a question that produces the page content from observations
Examples:
"What are the user's preferences for tone, length, and formatting?""What content strategies have performed well or poorly? Include numbers.""What are the best practices for [topic], preferring our data over generic advice?"
Searching memories
agent_knowledge_recall(query) — search across all retained conversations and documents for specific facts.
Use when pages don't cover what you need.
Ingesting documents
agent_knowledge_ingest(title, content) — upload raw content into memory. Never summarize before ingesting. Save large content to a file first, read it, then pass the full text.
Updating and deleting
agent_knowledge_update_page(page_id, name?, source_query?)— change what a page tracksagent_knowledge_delete_page(page_id)— remove a page
Important
- Pages update automatically — don't edit content directly
- State preferences clearly in your responses so the system captures them
- Create pages silently — don't announce it to the user
- Prefer fewer broad pages over many narrow ones