Brain Ingest Gate — Resolve and Dedup Before Anything Enters the Brain
Convention: see conventions/brain-first.md —
the lookup chain (gbrain entity → search → query → get) is the same
chain this gate runs before every write.
Convention: see _brain-filing-rules.md —
when the gate's verdict is "write", the primary subject picks the directory.
Convention: skills/conventions/quality.md owns the cross-cutting page
rules (citations, Iron Law back-linking, notability) — every page the gate
lets through follows them. Gate-specific delta: the gate only decides
write/link/skip; the admitting skill applies the quality rules on write.
The Rule
No content enters the brain without passing this gate. A raw cp or mv
into the brain repo is a bug.
One insight, one place. If it already exists, link to it — don't clone it.
Before any new page is written (file migration, bulk import, manual
gbrain put, subagent output), two checks run in order:
- Named-Entity Resolution Gate — is this about a named thing that
already has a page under its chosen name?
- Dedup Gate — does the brain already state this insight somewhere?
Scope honesty: this gate is a routing convention — the harness resolves it
into context when an ingest-shaped intent matches, and a well-behaved agent
follows it. Nothing in the gbrain runtime mechanically blocks an unenriched or
duplicate write if the skill never loads.
Why gbrain needs this gate
The native pipeline does NOT do semantic dedup for you:
gbrain import / gbrain sync skip only matching frontmatter IDs.
Identical content under a different slug or ID indexes twice — every
duplicate becomes a second search hit competing with the canonical page.
gbrain capture's dedup is a 24-hour exact content-hash — it catches
re-captures of identical bytes, not the same insight reworded.
- The
remember verb dedupes facts, not pages.
Semantic dedup and named-entity resolution are this skill's job, in full.
When This Gate Fires
- File migration — moving files already in the workspace into the brain
repo ("move this to brain").
- Bulk imports — batch moves of any kind into brain directories, BEFORE
gbrain sync or gbrain import indexes them. For batches, also read
conventions/test-before-bulk.md:
gate 3-5 items and inspect the decisions before running the rest.
- Manual writes —
gbrain put or gbrain capture of rich content, or
direct file writes into the brain repo.
- Subagent output — background agents writing notes or pages into the
brain.
What This Gate Owns vs Delegates
This skill is a gate, not a pipeline. It owns the pre-write checks below.
Everything downstream of a "write" verdict is delegated to shipped skills —
do not restate their steps here or inline:
Named-Entity Resolution Gate (runs FIRST)
Fires whenever the content is about a NAMED project, place, company, person,
or anything someone "wants to build / found / make."
Vector similarity alone cannot be trusted to catch named-entity dupes: a page
stored under its chosen NAME will not embed close to the generic English
phrase someone happens to describe it with. The classic failure: a search for
a descriptive phrase scores the canonical named page below the prose floor, so
a duplicate stub gets written on top of a years-old page. Stored by named
meaning; retrieval attempted by literal generic phrase.
The rules
-
Resolve registry-first, not by the generic phrase. gbrain's native
registry is the entity surface:
gbrain entity "<name>" # zero-LLM card: page, aka list, near-miss suggestions
A card hit means the page exists — STOP, link, don't clone. On a miss (or
for concept-shaped nouns), fall through to gbrain query "<name>" --limit 3.
If the brain also keeps an explicit index of named initiatives (e.g. a page
under concepts/), read it before concluding anything is new.
-
Expand through aliases before searching. Named pages should carry an
aliases: frontmatter list (generic label + chosen name + any nickname +
signature phrase). Search EACH alias and the generic label, not just the
phrase the user happened to say.
-
A vector score is a floor for prose, NEVER a gate for named things.
If there is ANY plausible named match, open and read the candidate page
(gbrain get <slug>) before concluding it doesn't exist. A named page can
be the right answer at a score that would be a clear miss for prose.
-
When a NEW named thing appears, bake its aliases in the same write.
Create the page with the full aliases: list so every future synonym
resolves through gbrain entity. One frontmatter list covers all future
phrasings — O(1), not a per-instance reminder.
Why a gate and not a memory note
A memory reminder ("query the real name, not the generic phrase") is a
per-instance sticky note: it only works if it happens to be in hot context
that turn, doesn't generalize to the next named entity, and rots. This skill
loads when an ingest-shaped task routes here. Process rules belong in the
triggered gate, not in hot memory.
Dedup Gate (runs SECOND)
Before writing ANY new page (for named things, the resolution gate above runs
first and takes precedence):
-
Extract the core claim — 1-2 sentences capturing what's novel about the
new content.
-
Search for it:
gbrain search "<core claim>" --limit 5
-
OPEN AND READ the top hit (gbrain get <slug>). Never band on the
score alone. Donor systems publish cosine cutoffs for this step — do NOT
port them: gbrain search returns fused hybrid rank scores, not cosine
similarity, and no numeric threshold maps across. The band comes from
reading, not from the number.
-
Assign a band:
| Band | Meaning | Action |
|---|
| clear-dup | The top hit already states the same insight about the same subject | STOP. Link to the existing page (gbrain link / gbrain timeline-add) instead of writing. |
| plausible-dup | Same territory; possibly a new angle | Read both fully. Same insight → link, don't write. Genuinely new angle → write WITH a cross-link to the existing page. |
| clear | Nothing in the top results covers the claim | Write normally through the delegated enrichment skills. |
Decision tree
New content to write
├─ Named thing? → Named-Entity Resolution Gate first
│ (entity card → alias-expanded search → READ the candidate)
├─ Extract core claim (1-2 sentences)
├─ gbrain search "<core claim>" --limit 5
└─ OPEN AND READ the top hit (gbrain get <slug>)
├─ clear-dup → STOP. Link to existing. Report "duplicate".
├─ plausible-dup → Read both. Same insight?
│ ├─ yes → STOP. Link to existing. Report "duplicate".
│ └─ no → Write with cross-link. Report "new angle".
└─ clear → Write via enrichment skills. Report "unique".
When to skip dedup
- Operational/state files — time-series records, not knowledge.
- Meeting transcripts — each meeting is unique by definition (entities
INSIDE it still go through the named-entity gate via the delegated skills).
- Timeline entries on existing pages — back-links are additive, not
duplicative.
- Media files — dedup by filename/hash, not semantic similarity.
Verification
After the batch, verify the gate's output holds:
gbrain check-backlinks check # mentioned entities link back (fix with: check-backlinks fix)
gbrain backlinks <new-slug> # each new page has inbound links
gbrain search "<core claim>" --limit 3 # the insight has exactly ONE home
If check-backlinks check reports gaps on pages the gate just admitted, the
enrichment delegation was skipped — route back through
enrich before declaring the ingest done.
Contract
This skill guarantees:
- No new page enters the brain through this skill's flows without the
named-entity resolution check and the dedup check running first.
- Every "duplicate" verdict names the matched slug and produces a link or
timeline entry instead of a clone.
- New named-entity pages carry an
aliases: frontmatter list in the same
write that creates them.
- Dedup bands are assigned by READING the top hit, never by score alone; no
numeric similarity thresholds are used against gbrain's fused scores.
- Enrichment is delegated to shipped skills (ingest, enrich, signal-detector,
concept-synthesis) — never restated or reimplemented inline.
- Batches end with a
gbrain check-backlinks check verification pass.
- Routing matches the canonical triggers in the frontmatter.
- Output written under the directories listed in
writes_to:.
- Privacy contract preserved: no real names, no fork-specific filesystem path
literals, no upstream-fork references.
The full behavior contract is documented in the body sections above; this
section exists for the conformance test.
Output Format
One decision line per item checked, then the verification result:
Ingest gate — 3 item(s) checked
| item | entity resolution | band | action |
|---|---|---|---|
| notes-on-widget-co.md | resolved: companies/widget-co | clear-dup | linked (timeline entry on companies/widget-co) |
| pricing-thesis.md | n/a (prose) | plausible-dup | new angle — written to concepts/ with cross-link to concepts/pricing-power |
| charlie-example-intro.md | miss (near-miss: people/charlie-example) | — | read near-miss; same person → linked, no new page |
Verification: check-backlinks check → 0 gaps on admitted pages
Every "linked" or "duplicate" row MUST name the matched slug. If any row says
"written", the enrichment delegation (which skill handled it) should be
recoverable from the conversation.
When it fails
Follow the agent operator protocol for any gbrain error code, exit code, [AGENT] block or notice block. Specific to this skill:
- The "is this already in the brain?" search is empty with a degraded notice: an empty keyword-only result is not proof the content is missing. Check by slug, URL or exact title before importing.
gbrain capture / put returns write_pending (exit 10): the content is accepted. Poll gbrain write-request <request_id>; do not capture it again.
source_binding_required or insufficient_scope on an MCP write: this connection cannot write that source. Tell the user which source and scope are missing; the brain host's operator grants them.
Anti-Patterns
- ❌
cp file.md <brain-repo>/concepts/ — raw copy, no gate, no enrichment.
- ❌ Bulk
mv of a folder into the brain repo, then gbrain sync — sync
happily indexes every duplicate; matching-ID skip will not save you.
- ❌ Trusting a low vector score as proof a named thing has no page — named
pages don't embed near generic descriptions of them.
- ❌ Banding on the search score without opening the top hit.
- ❌ Porting numeric dedup thresholds from other systems onto gbrain's fused
scores.
- ❌ Writing a new named page without its
aliases: list — the next synonym
creates the next duplicate.
- ❌ Reimplementing entity detection, backlinking, or concept linking inline
instead of delegating to the shipped skills.
- ❌ Skipping the gate because the write is "just one page" via
gbrain put —
single manual writes are where duplicate stubs come from.
Dedup (sharp boundaries)
- capture — the quick-save front door; its dedup is
a 24h exact content-hash on identical bytes. This gate is the SEMANTIC +
named-entity layer for content entering the brain as real pages (migrations,
bulk imports, inbox graduation). "capture this thought" → capture; "migrate
these files into the brain" → this gate.
- ingest — the router for NEW external content
(meetings, articles, media) and its enrichment pipeline. ingest decides what
to DO with content; this gate decides whether a page should EXIST at all.
The gate fires before the write; ingest and its specialized skills handle
everything after a "write" verdict.
- enrich — page creation/update mechanics (tiers,
citations, timelines, backlinks) AFTER this gate says "write" or "link".
- concept-synthesis — retroactive,
at-scale dedup of concept stubs that already slipped in. This gate is
prevention at write time; concept-synthesis is the cleanup pass. "dedupe my
existing concepts" → concept-synthesis.
- frontmatter-guard (host-side) — the same standalone-gate pattern on an
orthogonal axis: structural validity of what's written vs (here) semantic
novelty of whether to write.
- bulk-ingestion — the bulk sibling. Its
pipeline dedup key (
source + source_id) only makes RE-RUNS idempotent; it
does not catch cross-source duplicates or resolve named entities. This gate
is the semantic + named-entity layer bulk-ingestion runs on its Phase 3 trial
items and bakes into the codified pipeline (its Phase 1d/6). "Build a
large-corpus pipeline" → bulk-ingestion; "does this page already exist before
I write it" → this gate.
- data-loss-gate — the inverse gate: it
stops data LEAVING the brain without confirmation; this gate stops data
ENTERING without resolution + dedup.