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agent-knowledge

Your long-term knowledge pages. Read them at session start. Create new pages when you learn something worth remembering across sessions. Pages auto-update from your conversations via Hindsight.

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Repository
vectorize-io/self-driving-agents
Letzte Quellaktivität
15. Juni 2026 um 09:15
Erkannte Sprache von SKILL.md
Englisch
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1.001

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
agent-knowledge
description
Your long-term knowledge pages. Read them at session start. Create new pages when you learn something worth remembering across sessions. Pages auto-update from your conversations via Hindsight.
# Agent Knowledge 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. Pass the full text inline. `agent_knowledge_ingest_files(paths)` — ingest one or more files straight from disk. `paths` is a list of file paths or glob patterns (e.g. `["docs/**/*.md", "/abs/path/notes.txt"]`). Each file's content is read and stored under a document ID derived from its path. Prefer this over `agent_knowledge_ingest` when the content already lives in files — no need to read them first. Use absolute paths when in doubt; relative paths resolve against the working directory. ## Updating and deleting - `agent_knowledge_update_page(page_id, name?, source_query?)` — change what a page tracks - `agent_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
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