heptabase-linking

Heptabase card cross-linking via CLI

The key finding

Markdown append does NOT create real cross-links in Heptabase. Wiki-link syntax like [[Card Title]] written through heptabase note create or heptabase note append is stored as literal text inside a text node — it renders in the card as the plain string [[Card Title]], not as a clickable link.

Real internal links are dedicated ProseMirror node types (not marks). The only way to create them via the CLI is heptabase note save (or journal save) with explicit ProseMirror JSON.

Two link schemas: pick the right one for your target

Heptabase uses different node types depending on whether you're linking to a card (note, pdf, highlight, etc.) or to a journal. Getting this wrong produces a pill that renders as "Invalid card" in the UI.

Linking to a card (note, pdf, highlight, etc.)

{ "type": "card", "attrs": { "cardId": "<target-card-uuid>" } }

• cardId is the target's UUID
• Works for any non-journal object type

Linking to a journal

{ "type": "date", "attrs": { "date": "2026-03-12" } }

• It's a date node, not a card node
• The attribute is date (the YYYY-MM-DD string), not cardId
• Using {type:"card", attrs:{cardId:"2026-03-12"}} saves without error but renders as "Invalid card"

Common properties

• Both are nodes, not marks. link (external URL) is a mark that wraps text. card and date are standalone inline nodes — they sit inside a paragraph alongside text nodes, no wrapped content.
• Inline level. They must live inside a block node like paragraph. Do not put them at the top level of the doc.
• No label. Heptabase resolves the display text from the target's current title (for cards) or date (for journals) at render time.
• Not to be confused with external links. External URLs are a link mark on a text node:

  { "type": "text", "marks": [{ "type": "link", "attrs": { "href": "https://…", "data-internal-href": null } }], "text": "…" }
  

  The data-internal-href: null field is a telltale that external and internal links share a schema lineage, but do not try to create internal links by setting data-internal-href — internal links go through the card or date nodes instead.

Minimum working example

A paragraph containing "See also: " followed by a live link to another card:

{
  "type": "paragraph",
  "content": [
    { "type": "text", "text": "See also: " },
    { "type": "card", "attrs": { "cardId": "514661f9-10f3-4305-b58f-07e552103021" } }
  ]
}

Wrapped in a full doc:

{
  "type": "doc",
  "content": [
    {
      "type": "heading",
      "attrs": { "level": 1 },
      "content": [{ "type": "text", "text": "Test Card Alpha" }]
    },
    {
      "type": "paragraph",
      "content": [{ "type": "text", "text": "Intro paragraph." }]
    },
    {
      "type": "paragraph",
      "content": [
        { "type": "text", "text": "See also: " },
        { "type": "card", "attrs": { "cardId": "<beta-uuid>" } }
      ]
    }
  ]
}

You do NOT need to provide attrs.id on headings/paragraphs on save — Heptabase will generate those UUIDs for you. Compare before/after with note read to confirm.

Two placement styles: trailing vs inline

Where you put the link inside the paragraph matters for readability.

Trailing ("See also: ")

Good default. Append a new paragraph at the bottom whose whole purpose is the link:

{
  "type": "paragraph",
  "content": [
    { "type": "text", "text": "See also: " },
    { "type": "card", "attrs": { "cardId": "<uuid>" } }
  ]
}

Use when the link is a pointer, not a part of the prose — e.g. "related cards" at the bottom of a note, or an auto-appended backlink. The included heptabase-link script uses this style by default.

Inline (link embedded in a sentence or list item)

Use when the link IS the subject of the sentence — typical for timeline entries, mentions, or anywhere the date/card is part of the flow:

{
  "type": "bullet_list_item",
  "attrs": { "folded": false, "format": null },
  "content": [
    { "type": "paragraph", "content": [
      { "type": "date", "attrs": { "date": "2026-03-30" } },
      { "type": "text", "text": " — met in SF; detailed conversation about his role change." }
    ]}
  ]
}

Renders as:

• [Mar 30, 2026] — met in SF; detailed conversation about his role change.

The date or card node can appear anywhere inside the paragraph's content array, alongside text nodes. Prepend, interleave, whatever reads naturally.

The rule: both card and date are inline nodes. They need to live inside a paragraph (or an item whose content is a paragraph, like bullet_list_item). They can sit at the start, middle, or end of that paragraph freely.

End-to-end workflow: cross-link two new cards

The clean recipe. Each step is explicit about why.

1. Create both cards first (markdown path is fine for initial creation)

heptabase note create -c "# Card A

Body text."
# → { "id": "<a-uuid>", "title": "Card A" }

heptabase note create -c "# Card B

Body text."
# → { "id": "<b-uuid>", "title": "Card B" }

Why create both first: the card node needs a concrete cardId, so both targets must exist before you can link to them.

2. Read each card to get current contentMd5

heptabase note read <a-uuid>
# → { ..., "contentMd5": "<md5-a>" }

heptabase note read <b-uuid>
# → { ..., "contentMd5": "<md5-b>" }

Why: note save accepts --content-md5 for optimistic concurrency. If you skip it and someone else edited the card between your read and write, you'd silently overwrite their changes. Always pass it.

3. Build full-replacement ProseMirror JSON for each card

Write the JSON to a file (easier than inline for anything non-trivial — avoids shell quoting hell):

cat > /tmp/card-a.json <<'EOF'
{
  "type": "doc",
  "content": [
    {
      "type": "heading",
      "attrs": { "level": 1 },
      "content": [{ "type": "text", "text": "Card A" }]
    },
    {
      "type": "paragraph",
      "content": [{ "type": "text", "text": "Body text." }]
    },
    {
      "type": "paragraph",
      "content": [
        { "type": "text", "text": "See also: " },
        { "type": "card", "attrs": { "cardId": "<b-uuid>" } }
      ]
    }
  ]
}
EOF

Why full replacement: note save overwrites the entire card body — there is no "insert node at position" API. You must rebuild the full doc, preserving whatever existing content you want to keep.

4. Save each card

heptabase note save <a-uuid> --content-md5 <md5-a> -f /tmp/card-a.json
heptabase note save <b-uuid> --content-md5 <md5-b> -f /tmp/card-b.json

5. Verify

heptabase note read <a-uuid>

In the returned content string (which is itself JSON-encoded), look for:

"type":"card","attrs":{"cardId":"<b-uuid>"}

Be aware of double-encoding: the outer response has a content field whose value is a JSON string. grep on the raw CLI output will see escaped quotes (\"type\":\"card\"). If your grep comes back empty, inspect the raw output first — the link is probably there.

In the desktop app, refresh the card; the link should render as a clickable card pill showing the target's title.

Gotchas and pitfalls

1. [[Title]] in markdown is dead text. If you see literal [[...]] rendering in a card, it was written via note create/note append and needs to be rewritten with note save.
2. note append also uses the markdown parser. So you cannot "just append a link" to an existing card — you have to note read to get current content, merge a new paragraph with a card node, and note save the whole thing back.
3. Cross-links are by ID, not title. If you rename a target card, existing links keep working (they store the UUID). But this also means you cannot pre-create a link to a card that does not yet exist — the cardId must be real.
4. No dangling links. The CLI does not verify the cardId exists at save time in a way that surfaces nicely — if you save a bogus UUID, the card node persists but renders as a broken link. Always read the target card first to confirm its ID.
5. External URL links are a different mechanism. Those are link marks on text. Do not mix them up.
6. Journals use a different node type. Links to journals are {type:"date", attrs:{date:"..."}}, not {type:"card", attrs:{cardId:"..."}}. A card-node with a date string in cardId saves without error but renders as "Invalid card" in the UI. Verify by opening the UI, not just reading the JSON.
7. Other card types (pdf, highlightElement, etc.) likely use the same card node schema since the cardId field is type-agnostic for card-like objects — but this has only been verified for note→note links. Test before assuming.
8. note save / journal save replace everything. They are not additive. If you forget to include existing paragraphs in your new JSON, they are gone.
9. Verify renders in the UI, not just the JSON. A link node can be structurally correct (matches the schema) yet point at something that doesn't exist or uses the wrong node type — and still round-trip through save + read cleanly. The only ground truth is opening the card in the Heptabase desktop app.

Batch-linking recipe: build a cross-linked graph from many sources

When you need to link many cards to many targets at once (e.g. "I met 40 people; create a card for each and link to every journal that mentions them"), the pattern is:

1. Extract candidates from source content

Read the source cards (journals or otherwise) into plain text with jq — walk the ProseMirror tree and concatenate all text nodes:

for d in $(seq 0 90 | xargs -I{} date -j -v-{}d -f %Y-%m-%d "$(date +%Y-%m-%d)" +%Y-%m-%d); do
  txt=$(heptabase journal read "$d" 2>/dev/null \
    | jq -r '.content | fromjson | [.. | objects? | select(.type=="text") | .text] | join(" ")')
  [[ -n "$txt" && "$txt" != "null" ]] && printf "=== %s ===\n%s\n\n" "$d" "$txt"
done > /tmp/source-text.txt

2. Scope with the user before creating

Present a candidate list and ask which rows to include, which to skip, and how to resolve ambiguities (same-name disambiguation, "is this pre-existing?", etc.). Creating 40 cards then having to undo is more painful than one scoping round-trip.

3. Create cards in bulk, capture UUIDs

Write one markdown file per target into a staging directory, then loop:

: >/tmp/ids.tsv
for f in /tmp/staging/*.md; do
  slug="$(basename "$f" .md)"
  id=$(heptabase note create -f "$f" | jq -r '.id')
  printf "%s\t%s\n" "$slug" "$id" >>/tmp/ids.tsv
done

Persist the slug → uuid mapping to disk. You'll need it for the next two phases.

4. Tag in bulk

while IFS=$'\t' read -r slug id; do
  heptabase tag add --card-id "$id" --tag-name people
done </tmp/ids.tsv

Note: heptabase tag add uses --tag-name, not --tag-id. It creates the tag if it doesn't exist.

5. Link in bulk with heptabase-link

Join your UUID map with a slug → space-separated mention-dates map, then loop:

join -t $'\t' -1 1 -2 1 \
  <(sort /tmp/ids.tsv) <(sort /tmp/mentions.tsv) > /tmp/joined.tsv

while IFS=$'\t' read -r slug pid dates; do
  read -r -a date_arr <<<"$dates"        # bash only; see shell gotchas below
  for d in "${date_arr[@]}"; do
    heptabase-link "$pid" "$d" --label "Journal"
  done
done </tmp/joined.tsv

6. Verify a representative sample in the UI

Pick 2–3 cards with multiple links and confirm they render as real pills, not "Invalid card". This is cheap insurance against a schema mismatch affecting all the cards.

Shell gotchas when batch-linking

Time-savers learned the hard way:

1. IFS=$'\t' from an outer read contaminates inner loops. If you do while IFS=$'\t' read -r a b c; do for x in $c; done, the for loop will treat the whole string $c as a single token, because IFS is still tab. Either word-split explicitly with read -r -a arr <<<"$c", or reset IFS inside the inner block.

2. macOS default shell is zsh, not bash. read -a is bash-only; zsh uses read -A (capital A). Associative arrays (declare -A) only work in bash 4+, and macOS ships bash 3.2. Safest fix: run the whole batch loop under bash -c '...' instead of the interactive shell. If you see bad option: -a, you're in zsh.

3. The script's idempotency guard only catches one direction. heptabase-link A B prints ok: A -> B as soon as the first save succeeds — even if the reverse-direction save (B -> A) then fails. set -e inside the script stops further work, but the wrapper loop sees only the first ok: line and moves on. Consequence: a partial batch can leave one-sided links. Mitigation: if you see any failure, re-read both endpoints and verify both links exist.

4. A bogus tgt still produces a saved (broken) link node. If $tgt was a space-separated garbage string rather than a single id, the script happily writes {type:"card", attrs:{cardId:"2026-03-30 2026-03-31 ..."}} into the source card's content. To find these after the fact, grep for card nodes whose cardId is neither a valid UUID nor a valid date:

   heptabase note read <pid> | jq -r '.content' | jq '
     [.. | objects? | select(.type == "card") | .attrs.cardId
       | select(test("^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$") | not)
       | select(test("^[0-9]{4}-[0-9]{2}-[0-9]{2}$") | not)]'
   

How this schema was discovered

In case you need to rediscover schemas for other node types (embeds, mentions, block references, etc.):

1. List cards likely to contain the feature (e.g., answer/summary cards often link to source cards).
2. heptabase note read <cardId> on candidates.
3. Look for unfamiliar "type":"..." values in the ProseMirror JSON content field.
4. External URL links appear as {"type":"text","marks":[{"type":"link","attrs":{"href":"...","data-internal-href":null,...}}],"text":"..."}.
5. Internal card links appear as {"type":"card","attrs":{"cardId":"..."}}.
6. Journal links appear as {"type":"date","attrs":{"date":"YYYY-MM-DD"}}.
7. To enumerate every node type in use, sample ~50 notes and journals and collect distinct .type values — then inspect each unfamiliar type for its schema:

   for cid in $(heptabase card list --card-types note -l 60 | jq -r '.results[].id'); do
     heptabase note read "$cid" | jq -r '.content // empty' \
       | jq -r '[.. | objects? | .type // empty] | unique | .[]'
   done | sort -u
   

8. Other features (embeds, images, etc.) likely follow the same node-vs-mark pattern: standalone visual elements are nodes; text styling/attribution is marks.