Glossary

Documents & content

Document — any saved piece of content: web page, article, note, highlight, or synced file. Has a title, excerpt, body, tags, and source.
Library — the dashboard view of all documents in a workspace.
Reader — the distraction-free reading view for a saved document (with editing, tagging, linking, and suggestions).
Highlight — a selected-text save captured from the browser extension’s context menu.
Note — a short annotation attached to a save from the extension popup.

Workspace — a named, isolated container of documents and memories. Everything is scoped to a workspace.
Context pack — the pre-flight orient returned by get_workspace_context: pinned memories, routines, topic facts, and stats.

Memory — an agent-authored (or human-authored) knowledge item with a typed kind and lifecycle.
Files (reference) — imported content (how reference documents are labeled).
Facts (semantic) — knowledge, facts, and relationships.
Routines (procedural) — how-to rules, triggers, and preferences agents should follow.
Moments (episodic) — dated events with a timestamp and a time-to-live.
Review Inbox — the dashboard queue of pending_approval drafts; nothing is active until approved.
Draft — a memory written by an agent awaiting approval (not searchable or retrievable until approved).
Pin — makes a memory exempt from decay and top-ranked.
Archive — soft hide from retrieval (recoverable).
Forget — permanent removal from storage and search.
Decay — gradual weakening of unpinned memories over time.
Strength — a memory’s health signal, fed by retrieval and ratings.
Confidence — a memory’s reliability score (0–1); contradictions reduce it.
Consolidation — background process that promotes and links related memories.
Extraction — the automatic pass that derives tags, entities, claims, and domain from content.

Hybrid search — keyword matching fused with semantic (meaning-based) matching, combined into one ranked result list.
Keyword search — exact-term matching; great for phrases, code, and technical terms.
Semantic search — meaning-based matching that finds concepts even when the wording differs.
Snippet — a short matching passage surfaced in search results.
RAG — retrieval-augmented generation: grounded Q&A over saved documents with numbered citations.
Staged retrieval — answer follow-up questions from already-cited documents before doing a full-library scan.

Knowledge graph — documents/memories as nodes, links as edges.
Auto-linker (the Librarian) — background process that proposes related-document links with similarity scores. Pro feature.
Link suggestion — a pending candidate link; approve it to make it real.
Typed relation — a semantic link between memories: derived_from, supports, contradicts, related_to, precedes, follows, part_of.

MCP — Model Context Protocol; the standard for agent↔tool communication.
MCP server — @kiomon/mcp-server: exposes the 8 memory-native tools to any MCP client.
OpenAI-compatible API — OpenAI-shaped endpoints (chat/completions, embeddings, models) for any OpenAI SDK, n8n, or LangChain.
API key — the bearer credential agents use to authenticate with your account.

Plan — Free or Pro; determines your caps and which features are enabled.
Trial — the 14-day Pro trial granted at signup; no card required.
Quota — the usage caps enforced per plan (documents, storage, workspaces, keys, connectors, rate limits).

Connector — a connected content source (Notion, Google Drive, Confluence) that syncs into your library.
Sync — the background process that imports new and changed content from a connector.
OAuth connection — the authorized link between your account and a provider, used by connectors.
Source — where a document came from (extension save, highlight, note, or a specific connector).