Mission Control
Memory
what Neco has actually learned, with provenance · source = local Postgres + Memory API
People ·
Aliases (legacy) ·
Facts ·
Artifacts ·
Entity Resolution
Search & Inspect
Person profiles. Each row is one human Neco knows about —
with their aliases, platform handles (Telegram/email/…),
structured attributes (phone, address, age, …), and
free-text facts grouped together. Click a row to expand
the detail panel for that person.
Saying «شماره بنی اینه 0912…» in chat creates/updates this table — not a free-floating "یادداشت".
Saying «شماره بنی اینه 0912…» in chat creates/updates this table — not a free-floating "یادداشت".
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Legacy
core.entity_aliases rows. Phase 2R-6
backfilled every alias here into core.person_aliases
grouped under a Person profile (see the People tab). This
view stays as a diagnostic so the operator can confirm
the migration is consistent.
Local aliases (legacy view)
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Memory API contacts (necore.contacts)
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Facts the Memory API has stored about the operator, projects, people, settings, preferences.
Read-only here. To add or correct, write to the Memory API.
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Long-form outputs Neco kept across turns: market analyses, chat summaries, generated text,
research reports, plan summaries. So you can later say «همین تحلیل رو براش بفرست».
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Test the resolver. Type a name like «امیررضا» / «بنی» / «horia» and Neco will tell you
which canonical entity it picks, with what confidence, and from which source (memory_api → alias_exact → alias_fuzzy).
Single-call search across local aliases, conversation artifacts, and Memory API facts.
Each result links back to its source row so you can see provenance and last-used time.