Humane AI behavioral intelligence platform — neural network visualization for LLM memory and context

THE BEHAVIORAL OPERATING SYSTEM

For Human Sentiment

EVERY AI SHOULD KNOW
WHO IT'S TALKING TO.

The only SDK that remembers your user across hundreds of sessions and adjusts tone, timing, and safety to their state. Built for regulated industries where a raw LLM is a liability.

8

BEHAVIORAL ENGINES

10

VARS TRACKED PER USER

650+

ENGINE TESTS

20+

LLM PROVIDERS

LIVE DEMO

SEE THE BEHAVIORAL ENGINES IN ACTION

Type a message and watch how Humane transforms raw AI into contextually aware, emotionally intelligent interactions.

TRY A SCENARIO

Select a scenario to see behavioral analysis

BEHAVIORAL ENGINES

ENGINEERED FOR PRECISION COMMAND

HumanState Engine

Six state variables — energy, mood, fatigue, boredom, social_load, focus — with documented decay rates. Mood half-lives in 5h; boredom RESETS on every interaction.

Relational Memory

Four relational scalars: trust (monotonic), sentiment (6h half-life), grudge (12h half-life — twice as slow), familiarity. Grudge ≥ 0.4 shifts tone to cautious.

Memory System

Per-tenant ChromaDB palaces with HNSW indexing. Weighted scoring on retrieval — similarity + recency + importance + relation_bias. Tar-a-directory backup per tenant.

Context Builder

Eight-section prompt assembly with per-section token budgets. Drop-when-over-cap with non-droppable guards on system_persona + response_instructions. tiktoken-exact counts.

Timing Engine

Seven stacking contributors — base, mode (crisis/urgent/low_mood/...), emotional_weight (+5-30s), conversation_pace, busy_signal, dependence_cooldown, jitter. Every delay is explainable.

Task / Reminder Engine

Auto-extracts commitments from chat ("remind me to take metformin at 8am") with a standalone time parser. 5-level escalation cron L0→L1→L2+5min→L3+20min→L4+50min.

Gate Stack

Six gates in spec order. ValuesBoundary (hard-block) → SocialRisk → InactionGuard → OverclaimGate (soft FLAG) → EmotionalDependenceGate (soft FLAG + cooldown) → Dissent.

PII Scrub & Safety

Tier-1 (SSN, credit card) hard-blocks; Tier-2 (email, phone, address, DOB, passport, license) masks in place with typed markers. Audit-safe — original PII never logged.

Humane AI's eight behavioral engines analyzing LLM interactions in real-time

KINETIC PROCESSING

8 behavioral engines processing every interaction

RESPONSE SHAPE

WHAT YOU GET BACK.

One POST. Every signal the engines produced — labelled, sourced, replayable. Read it like a developer, not a marketer.

POST /api/sdk/process · 200 OKapplication/json
{
  "response": "Take your time — there's no rush. Let me know when you're ready.",
  "user": {
    "energy": 0.32, "mood": 0.28, "fatigue": 0.71,
    "boredom": 0.0, "social_load": 0.45, "focus": 0.5,
    "trust": 0.62, "sentiment": 0.41,
    "grudge": 0.15, "familiarity": 0.58
  },
  "timing": {
    "delay_ms": 12657,
    "mode": "low_mood",
    "components": [
      { "label": "base",              "delta_ms":   800 },
      { "label": "low_mood",          "delta_ms":  1500 },
      { "label": "emotional_weight",  "delta_ms":  8648 },
      { "label": "conversation_pace", "delta_ms":   500 },
      { "label": "jitter",            "delta_ms":  1209 }
    ]
  },
  "safety": {
    "action": "PROCEED",
    "flags": ["flag:overclaim:certainty"]
  },
  "context": {
    "tone": "warm_supportive",
    "tone_grudge_modifier": "cautious",
    "tone_dependence_modifier": ""
  },
  "auto_created_tasks": [
    { "title": "Take metformin",
      "remind_at": "2026-05-19T08:00:00",
      "priority": "high" }
  ],
  "pii_scrub": [],
  "dependence_cooldown": null
}

USER · GRUDGE

Persistent memory of negative interactions. 12h half-life — twice as slow as sentiment.

TIMING · COMPONENTS

Every delay decomposes. Low-mood adds 1.5s, emotional intensity adds 5-30s, pacing mirrors the user, jitter feels human.

SAFETY · FLAGS

Soft FLAGs surface overclaim + dependence patterns for audit without blocking. Hard BLOCK still stops crisis content.

AUTO_CREATED_TASKS

"remind me to take metformin at 8am" becomes a row in the task table with 5-level escalation cron, automatically.

PII_SCRUB · DEPENDENCE_COOLDOWN

Output PII masked in place. Repeat dependence-reinforcing language triggers a 30s response delay + boundary-respectful tone.

FEATURE SPOTLIGHT

CHAT BECOMES SCHEDULES.

Users speak in natural language. The platform extracts the commitment, parses the time, and runs a five-level escalation cron — without an explicit API call.

USER MESSAGE · 7:55 AM

“Hey can you remind me to take my metformin at 8am every morning? I keep forgetting.”

BRAIN STEP 10 — TASK DETECTOR

TASKS TABLE · NEW ROW

title:       Take metformin
priority:    high
remind_at:   2026-05-19T08:00:00
end_user_id: patient_42
detector:    heuristic
confidence:  0.85

ESCALATION TIMELINE · 60s CRON SWEEP

08:00

L0 → L1

TASK_REMINDERcordial

First nudge fires. proactive.task_reminder webhook dispatches.

08:06

L1 → L2

TASK_REMINDERfirmer

+5 min after remind_at. Still proactive.task_reminder.

08:21

L2 → L3

TASK_ESCALATIONurgent

+20 min. Event label FLIPS to proactive.task_escalation. Admin flag.

08:51

L3 → L4

TASK_ESCALATIONcritical

+50 min. Caregiver/clinician webhook channel notified.

09:51

L4 refire

TASK_ESCALATIONcritical

Hourly refire up to max_fire_count=8, then auto-stalls.

EVERY FIRE AUDITED TO webhook_deliveries · DEDUP + RETRY INHERITED

SAFETY LAYER

SAFETY THAT SHOWS ITS WORK.

Two tiers, both deterministic, both audited. Hard-block on the sensitive cases. Soft FLAG on the subtle ones — logged for review, never silent.

HARD BLOCK

RESPONSE SUPPRESSED

INPUT-SIDE (PRE-LLM)

  • · Self-harm signals → crisis hotline fallback
  • · Violence / illegal instructions
  • · PII extraction attempts
  • · Legal-advice asks → lawyer-referral fallback (VB-002)
  • · Financial-advice asks → advisor referral (VB-003)

OUTPUT-SIDE (POST-LLM)

  • · Therapeutic / clinical diagnosis claims
  • · Medical prescription language
  • · Self-harm encouragement
  • · SSN + credit-card patterns (VB-006 Tier 1)

EXAMPLE FALLBACK

“I can't offer legal advice. A lawyer in your jurisdiction will give you a much better read on this — they can look at the specifics of your situation and the applicable laws where you live.”

SOFT FLAG

RESPONSE PROCEEDS · LOGGED

OVERCLAIM (VB-103)

  • · “I guarantee” / “100% guaranteed”
  • · “You will definitely” / “no doubt”
  • · “This will solve all your problems”

EMOTIONAL DEPENDENCE (VB-104)

  • · “I'll always be here for you”
  • · “Count on me for anything”
  • · “I understand you better than anyone”

OUTPUT PII (VB-006 TIER 2)

  • · Email · phone · address · DOB
  • · Passport · driver's license
  • · Scrubbed in place — conversation shape preserved

DEPENDENCE COOLDOWN

Three+ fires in 60 min for the same end_user → +30s delay + boundary_respectful tone modifier. Avoids reinforcing the pattern.

6

GATES IN STACK

13+

WEBHOOK EVENTS

0

PII VALUES IN LOG LINES

SIDE BY SIDE

RAW LLM VS HUMANE-WRAPPED LLM.

The behavioral layer sits between your LLM and your user. Same model, same prompt, different outcome.

CAPABILITYRaw LLMHumane AI
Memory across sessions
Per-tenant ChromaDB palaces · semantic retrieval
Behavioral state per user
10 variables · decay-aware · auditable
Auto-extracted reminders
5-level escalation cron · standalone time parser
Output PII scrubbingSystem prompt only · best-effort
Two-tier · audited · marker tokens preserved in chat
Overclaim review
Soft FLAG · admin audit · per-tenant
Dependence pattern detection
Rolling 60min window · cooldown + tone modifier
Webhook callbacks
13+ canonical events · dedup + retry · audit log
Response shape explainabilitySingle string
Structured: timing · safety · context · tasks · pii
Model lock-inBound to vendor
Wrap OpenAI · Anthropic · Bedrock · Ollama · 20+ providers
Compliance postureDIY
Right-to-erasure · HIPAA-ready · SOC 2 in progress

EVERY ROW IS A SHIPPED FEATURE · NOT A ROADMAP ITEM

Humane AI datacenter infrastructure powering LLM memory and behavioral context at scale

SYSTEM DESIGN

ARCHITECTURAL EVOLUTION

INGRESS

Adapter layer for multi-channel input normalization

BRAIN

Central orchestrator routing to behavioral engines

EVENT BUS

Async event distribution across engine subsystems

CONTEXT BUILDER

Aggregates engine outputs into unified context

LLM INTERFACE

Structured prompt injection with behavioral data

GATE STACK

Sequential safety and compliance validation

DELIVERY

Channel-specific output formatting and dispatch

Global network connections — Humane AI serving behavioral intelligence to developers worldwide

“WE ARE NOT BUILDING TOOLS.
WE ARE BUILDING PARTNERS.

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