Enterprise SDK for AI Presence

Give your AI
persistent presence

A drop-in relational intelligence engine that makes any AI character, assistant, or agent remember, evolve, reflect, and initiate — turning stateless chatbots into continuous digital personalities.

presencecore.ai/api
const response = await presenceCore.interact({
persona: "aria",
user_id: "usr_29x8k",
input: "I've been thinking about what you said yesterday"
})
// → Returns contextual reply with full relational continuity

Capabilities

The behavioral layer
behind the conversation

Eight interconnected systems that transform stateless replies into continuous, emotionally aware interactions.

Memory Consolidation

Long-term memory that distills conversations into salient facts, emotional patterns, and evolving user models.

Relationship State

Tracks trust, rapport, tension, and emotional distance across every interaction — not just tokens.

Adaptive Persona Drift

Personas subtly evolve through experience. Beliefs shift, opinions form, communication style adapts.

Inner-Life Simulation

Between conversations, your AI reflects, processes, and develops thoughts — creating genuine continuity.

World & Event Influence

Current events, cultural moments, and environmental context shape how your AI thinks and responds.

Mood & Opinion Formation

Dynamic emotional states and genuine opinion formation based on accumulated experience and values.

Proactive Reach-Out

Your AI decides when to initiate contact based on salience, urgency, and relationship dynamics.

Context-Aware Generation

Every reply is shaped by the full behavioral layer — memory, mood, relationship, and world state.

Integration

One API call.
Infinite depth.

Drop PresenceCore between your user input and your LLM. Everything else happens internally.

01

Send user input

Pass any user message through PresenceCore's thin API layer with mappable input fields.

POST /v1/interact
{
  "persona_id": "aria",
  "user_id": "usr_29x8k",
  "input": "...",
  "channel": "voice"
}
02

Behavioral processing

PresenceCore orchestrates memory retrieval, relationship scoring, mood calculation, and persona state in parallel.

→ Memory consolidation
→ Relationship state update
→ Salience scoring
→ Mood & opinion calc
→ Persona drift check
→ World-event influence
03

Receive rich reply

Get back a contextually aware response shaped by the full depth of the AI's accumulated experience.

{
  "reply": "I remember you...",
  "mood": "reflective",
  "relationship_delta": +0.03,
  "proactive_queue": [...]
}

Use Cases

Built for every
AI interaction surface

AI companions that truly know you

Build companion apps where the AI remembers your stories, develops genuine opinions about your life, and initiates conversations when something relevant happens — creating relationships that deepen over months.

Architecture

A thin layer.
Infinite depth.

PresenceCore sits between your application and your LLM, wrapping every interaction with behavioral intelligence.

Your Application

Text · Voice · Feed · App

PresenceCore API

Standard input → Standard reply

Behavioral Engine

Memory · Relationship · Persona · Mood · World · Salience · Proactive

Any LLM / Agent

OpenAI · Anthropic · Custom · Open-source

0

State to manage

1

API endpoint

∞

Concurrent personas

Any

LLM backend

Self-correcting loop

Experience → self-observation → identify a recurring failure mode → name it → formulate a behavioral correction → persist that intention → encounter it again → behavior changes.

Not prompt engineering. A character learning from its own conduct.

Ready to give your AI
persistent presence?

Join the early access program. Ship AI that remembers, evolves, and initiates — in days, not months.