AiMe knows you.
Models don't.
A model-agnostic AI operating layer that owns identity, memory, and tool control — while routing tasks across interchangeable cognitive engines. Autonomous agents handle scheduling, email, and desktop presence. AiMe initiates turns. The relationship deepens. The models are replaceable.
v4.9 LogicCore
v7.2 CognitiveBridge
v9.1 LanguageCortex
8 Providers
3 Personas
3 Autonomous Agents
Proactive
Every turn. The same path.
Every user input flows through an identical, deterministic execution sequence — intent first, then generation. The LLM is the last thing invoked, not the first.
Hippocampus RRF + Latent Episodes
calendar, scheduling, desktop
calendar, live feed
watch rules, pattern tracker
Live person-count, context snap
proactive candidates
Memory is a relationship-indexed field.
The index isn't topic — it's Bond.
A Bond object is a persistent, evolving state representing "me ↔ X" — where X is a person, place, project, or environment. It holds identity cues, salience, affective tone, open threads, shared history, and trust patterns.
The system doesn't look up facts about you. It enters the relational field that is you — and everything relevant rises naturally from that context.
This is why model-swapping doesn't break identity. The Bond is not in the model. It is in the field. Whichever cognitive engine speaks, it speaks from within the same relational context.
Gravity — past context is scored by importance, not recency. High-gravity episodes surface as Latent Episodes: relevant past turns injected before inference when the current turn connects to portrait content.
Six layers. Continuously updated.
A structured model of the user — persisted across sessions, consolidated automatically by CerebralCortex after every turn. The model is never asked to introduce the user again.
Right engine. Every turn.
Requests are classified by a 4-resolver consensus engine (semantic/SetFit/spaCy/lexical) and routed to the most capable provider for the task type — before the LLM is invoked.
Sovereign daemons. Always on.
Three independent agents run as sovereign daemons — each with its own state, lifecycle, and proactive loop. They surface to AiMe. They do not narrate. They never block the turn path.
Multi-turn event staging. Conflict detection every 60 min. Proactive schedule-candidate pipeline from email and chat. Explicit user directives auto-commit — suggestion paths stay approval-gated.
Sovereign email daemon. Multi-provider — Gmail OAuth and IMAP/SMTP. Significance-scored inbox. High-significance unread emails surface pre-LM as ★-marked entries. Behavioral feedback loop adjusts scores.
Sovereign desktop vision daemon. Live presence via Haar cascade (~200ms). Face-count delta triggers arrival and departure turns. 120s exit grace compensation. Fallback to snapshot DB when Thalamus unavailable.
All standing interests — imprints, watch rules, and portrait concerns — are indexed as 768-dim BGE vectors in Qdrant. Every observation is checked against this index. Matches surface through a 6-check companion filter (quiet hours → activity gate → rate limit → per-intent cooldown → semantic dedup → consent grade) before AiMe is interrupted. Pattern tracker escalates recurring signals through 4 levels with significance boosts.
AiMe initiates turns — not just responds. 5-tier absence grading determines re-engagement tone. Return recognition fires a Gemini snapshot on arrival. Third-party presence detected via live bbox-count delta: count increase triggers an arrival turn, count decrease (while others present) triggers a departure acknowledgment. Fresh-boot detection prevents spurious greetings on system restart.
Same character. Different frame.
A swappable identity layer prepended to an immutable core operational contract. Switching personas changes voice and relationship stance — not the truth architecture or memory system beneath.
Personal companion mode. Relationship-first, continuity-aware. The Living Portrait of the user is the primary context frame. Warmth within the operational contract.
Operational governor mode. System Portrait active. Role-keyed authority bounds, incident stack, governance commitments. The model responds to role, not identity.
Simultaneous home and work frames. Same cognitive substrate, two portrait subjects. Context-aware blend: one frame when only one is active, both when both are relevant.
Production components
Live operational status of AiMe's core subsystems as of March 2026.
Cognitive engines are interchangeable inference engines.
Autonomous agents act. The system initiates.
The Living Portrait ensures the user is known —
not re-introduced — at every turn.