Heptabase

Search and update your notes

Category: Productivity
Primary Subcategory: Notes & Personal Knowledge Bases

Integration details

Description

Connect ChatGPT to your Heptabase knowledge base. Search and read cards, journals, PDFs, tags, databases, and whiteboards; create and edit notes; update properties; and place existing objects on whiteboards.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Productivity
Primary Subcategory: Notes & Personal Knowledge Bases
Secondary Subcategories: None listed
Brand: Heptabase
Access: Account required
First tracked: 2026-09-01
Tool count: 19
Geography: US

ChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Notes & Personal Knowledge Bases

View Category

Listed in alphabetical order

Primary Subcategory

CapacitiesComing soonGet notified

GoodnotesComing soonGet notified

HeptabaseComing soonGet notified

MemComing soonGet notified

NuwaComing soonGet notified

Tools

19 tools agents can invoke

Append content to a journal in Heptabase. If the journal for the specified date does not exist, it will be created. IMPORTANT: Pass the `date` parameter with the user's current local date (YYYY-MM-DD) to avoid timezone mismatch.
Create a new note card or fill a missing or empty daily journal in the user's Heptabase space. Existing journal content is never overwritten. Write content in Hepta Markdown.
Edit property values on cards that already belong to a Heptabase tag database. Use read_database first to get the database identifiers, property IDs and types, select options, and relation target database IDs. Edits are evaluated independently and in input order. Use null to clear a property.
Replace exact content in a note card or journal. Read the object first, remove only line-number prefixes, and use the shortest unique oldString. The tool preserves supported formatting and returns an excerpt of the applied edit when available.
List cards by type, whiteboard or tag membership, timestamps, or known IDs without reading their content. When more cards match than the current page, the result includes the total matching count.
List all tags in the user's Heptabase knowledge base with card counts and hierarchy. USE WHEN: - You need to discover what tags exist before drilling into a specific tag - User asks "what are my tags?" or "how is my knowledge organized?" - You want to find the right tag ID before calling list_cards RETURNS: - All tags grouped by tag group (if any) - Card count per tag - Parent-child tag hierarchy - Tag IDs for use with list_cards or read_database STRATEGY: - Call this first to discover tags, then use list_cards with tagIds to list a specific tag's cards - Use read_database when you need a tag database's property schema or views - Use the optional nameFilter to narrow results if the user mentions a topic
List the user's whiteboard hierarchy with lightweight object counts and pagination.
Automatically place up to 100 existing objects on a whiteboard. Split larger batches across calls. Accepted objectType values are card, journal, pdfCard, imageCard, videoCard, audioCard, and webCard. The batch is packed left-to-right immediately to the right of persisted content, and every valid item creates a new instance even when it is already present. This auto-only phase does not infer Section membership or adjust Sections, neighboring objects, connections, or lint. Retrying may create duplicates.
Read a tag database configuration by database ID, tag ID, or both, including its property schema, views, filters, sorts, select options, and relation targets.
Read an image referenced by read_object. Pass the file and source object fields from the image reference.
Read existing daily journal entries within an inclusive date range from the user's Heptabase knowledge base, oldest first. USE WHEN: - User asks about their journal entries during a time period - User wants to see what they wrote in past days, weeks, or months - User needs to review their daily notes IMPORTANT CONSTRAINTS: - Each call can retrieve at most 92 days (approximately 3 months) - For longer periods, make multiple calls - Dates use YYYY-MM-DD format. Both startDate and endDate are inclusive.
Read a specific object from the user's Heptabase knowledge base. Use this after another tool returns an object ID. Text content uses 1-based absolute line numbers for reference; the number prefixes are not part of the content. Use offset and limit to continue reading long content. For a PDF card, this returns metadata; use read_pdf to read its pages.
Read specific pages from a parsed PDF card in the user's Heptabase knowledge base. Page numbers are 1-indexed and inclusive.
Read the Heptabase system manual. Read `concepts` before using other Heptabase tools. Read `hepta_markdown` before calling `create_object`, `append_to_journal`, or `edit_object_content`; it defines the required rich-text syntax for tables, object mentions, and text or background colors. Read `properties` before inspecting or editing database properties. Omit `path` to list all three pages.
Read a whiteboard's structure or object content from the user's Heptabase knowledge base. Use structure mode to inspect its organization, or content mode to read and analyze the objects on it.
Search the user's entire main Heptabase Space by exact keywords or short phrases. It searches titles and supported text content, while PDFs, video cards, and audio cards are title-only. Results include concise object summaries and matching excerpts; use read_object or read_pdf for complete content.
Search the user's Heptabase space semantically using a natural-language query. Use this for ideas, concepts, or meanings that exact keywords may miss. Results contain concise object summaries and excerpts; use read_object or read_pdf when complete content is needed. This does not search tags or whiteboards.
Search literal or regex text inside one known object in the user's Heptabase knowledge base. Returns excerpts with absolute 1-based line numbers, marks matching lines with `*`, and searches stored parsed page content for PDF cards. Use another search tool or read_object first to obtain the object ID and type.
Add up to 200 cards to an existing Heptabase tag database. Use list_tags or read_database to get the database ID or tag ID. Use card listing, search, read, or create results to get card IDs. Repeated additions are skipped. Remove is not yet supported.

Heptabase FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Heptabase alternatives on ChatGPT?

As of 2026-09-01, Heptabase competes with Capacities, Goodnotes, Mem, Nuwa, Readwise, Roam Research, Rosetta, SavedIt, Truffle Journal in ChatGPT Notes & Personal Knowledge Bases, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.