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The Knowledge Wiki is your structured knowledge base inside Membase. While memories capture personal context (preferences, decisions, habits), the wiki stores stable, factual knowledge: documentation, references, notes, specs, and anything else you want to recall by title instead of by conversation.
Wiki graph with force-directed layout and per-collection colors

Memory vs Wiki

Membase keeps two complementary knowledge stores. Agents can search both, but each is optimized for a different shape of information.
MemoryWiki
What it storesPersonal context: preferences, decisions, habits, ongoing projectsFactual knowledge: docs, references, specs, stable notes
How you capture itAgent calls add_memory during conversations, app integrations sync in the backgroundYou write documents in the dashboard, import Obsidian vaults, or your agent calls add_wiki
How you retrieve itsearch_memory (semantic), Chat with Memory, Graph/Table viewsearch_wiki (hybrid: keyword + semantic), Chat with Memory, Wiki Graph/Table view
StructureEpisodes and entities in a knowledge graphMarkdown documents linked with [[wikilinks]], organized into collections
When an agent answers a user question, it should call both search_memory and search_wiki and combine the results: memory for personal context, wiki for factual knowledge.

Collections

Collections are folders for grouping related documents. They live in the sidebar where you can create, rename, or delete them. Each collection is also auto-assigned a color that only shows up in the graph view (not in the sidebar or table view), so related documents visually cluster together on the graph. The main way to use collections today is filtering: click a collection in the sidebar to scope the document list, table view, and search results to just that collection. There is no richer per-collection configuration (for example, custom colors or icons) yet.
Wiki sidebar with a collection selected and the list filtered

Documents

Wiki documents are markdown files with an extra twist: you can link between them using [[wikilinks]].
  • Markdown editor: Headings, lists, tables, code blocks, and other standard markdown formatting
  • [[Wikilinks]]: Type [[ in the editor to get instant suggestions from your existing document titles. Click through any link to jump to the referenced document.
  • Linked Mentions: Every document shows a Linked Mentions panel with the other documents that reference it (with snippets around each mention), so you can navigate in both directions.
  • Manual save: Changes are saved when you click Save or press ⌘/Ctrl + S. There is no autosave.
  • Unsaved changes warning: If you try to leave or close the tab with pending edits, Membase warns you before discarding them.
Inline image attachments in wiki documents are not supported yet. External image URLs in markdown will render, but there is no uploader inside the editor today.
Wiki document editor with wikilink autocomplete

Graph View

The wiki graph view visualizes your documents as a force-directed network. Each node is a document, each edge is a [[wikilink]]. Nodes are colored by collection, so you can see at a glance how different areas of knowledge connect.
  • Force layout: Drag nodes around, zoom in and out, and watch related documents cluster
  • Per-collection colors: Each collection has its own node color for easy scanning
  • Click a node: Open the document in the side panel

Table View

The table view is a structured list of every document, with sorting, filtering, and pagination.
  • Sort by title, collection, updated date, or created date
  • Filter by collection or search query
  • Pagination for large vaults
  • Bulk selection: Select multiple rows to delete in one action

Importing an Obsidian Vault

You can bring an entire Obsidian vault (or any folder of markdown files) into the wiki in one drag-and-drop. Top-level folders become collections, [[wikilinks]] are preserved as backlinks, and you can choose whether to keep the original markdown or let Membase summarize each document. See the Obsidian connector guide for the full import flow, folder flattening behavior, size limits, and deduplication rules. The wiki uses hybrid search that combines full-text keyword matching (BM25-style) with semantic similarity and fuses the results with Reciprocal Rank Fusion (RRF). This means you can search either by exact words ("OAuth PKCE") or by meaning ("how do we authenticate users") and get relevant results either way. Search is available in three places:
  • Chat with Memory: Ask a question and the agent pulls from both memory and wiki
  • Wiki page: The search box filters documents in real time
  • Agents via MCP: Your connected agent can call search_wiki during any conversation

Scoping search to a collection

You can restrict search to a single collection:
  • Dashboard: Click a collection in the sidebar to filter the document list, graph, and search results to that collection only.
  • MCP: Pass an optional collection_id to search_wiki to scope results to one collection. Note that this takes a UUID, not a name, so agents typically rely on the user-facing dashboard filter or a user-provided ID rather than discovering collections on their own.

Managing Wiki Documents

Unlike memories, wiki documents are fully editable from both the dashboard and your agents.

Create

  • Dashboard: Click + New Document on the Wiki page, pick a collection (or leave it in the default), and start writing in markdown.
  • Obsidian import: Drag a vault .zip onto the Wiki page to bulk-create documents. See the Obsidian connector guide.
  • Agent: Your connected agent can call add_wiki to create a document from any conversation.

Edit

  • Dashboard: Open any document and edit it inline. Click Save (or press ⌘/Ctrl + S) to commit changes. Membase warns you before discarding unsaved edits.
  • Agent: Your agent can call update_wiki with a document ID to change the title, content, or collection.

Delete

  • Dashboard: Delete a single document from the document view, or select multiple rows in the Table View and use the bulk-delete action.
  • Agent: Your agent can call delete_wiki with a document ID. Agents should ask for confirmation before deleting.
Deleted wiki documents cannot be recovered. Make sure you want to permanently remove a document before deleting.

MCP Tools

Your connected agents can read and write wiki documents using these MCP tools. See the Membase MCP reference for full parameters.
ToolWhat it does
add_wikiCreate a new document (title, markdown content, optional collection, optional LLM summarization)
search_wikiHybrid search across wiki documents, returns full document bodies
update_wikiEdit an existing document’s title, content, or collection
delete_wikiPermanently remove a document
Tell your agent that add_wiki is for factual knowledge and add_memory is for personal context. Most agents pick this up from the tool descriptions automatically, but repeating it in your system prompt helps.

Document Quotas

Wiki documents are counted against your plan.
PlanWiki documents
Free200
Pro2,000
The current usage is shown on the Billing tab and at the top of the Wiki page. When you reach the limit, creating or importing new documents returns a quota error until you delete existing documents or upgrade your plan.

Next Steps

Memory

Personal context that complements the wiki.

Chat in Dashboard

Ask questions across both memory and wiki.

Membase MCP

See full parameters for the wiki MCP tools.

Connect Apps

Bring more sources into your knowledge base.