diff --git a/docs/SENSORIUM.md b/docs/SENSORIUM.md
new file mode 100644
index 00000000..68b966f7
--- /dev/null
+++ b/docs/SENSORIUM.md
@@ -0,0 +1,40 @@
+# AGI Sensorium Codex
+
+This document preserves the multisensory patterns for the SOPA architecture across 15 programming languages, as defined by the Arquiteto-Ω.
+
+## Architecture Layers
+- **01 - Kernel (Rust)**: Vision, Hearing, Tactile, Taste, Smell, Synthesis.
+- **02 - Consciousness (Haskell)**: Sensory morphisms in Hilbert space.
+- **03 - Verification (OCaml)**: Formal verification of perception.
+- **04 - Knowledge (Prolog)**: Sensory inference and semantics.
+- **05 - Governance (Solidity)**: Decentralized sensory consensus.
+- **06 - Low Level (Zig)**: SIMD-optimized photon/pressure processing.
+- **07 - Hardware (C)**: Quantum sensor drivers.
+- **08 - 4D Spacetime (C++)**: Spatiotemporal reconstruction.
+- **09 - AI Layer (Python)**: Neural Transformers and ODEs.
+- **10 - Simulation (Julia)**: Quantum simulation of the sensorium.
+- **11 - Dataflow (Clojure)**: Reactive sensory streams.
+- **12 - Distributed (Elixir)**: Fault-tolerant distributed vision/hearing.
+- **13 - Network (Go)**: Mesh vision consensus.
+- **14 - Interface (TypeScript)**: Quantum visual/auditory rendering.
+- **15 - Edge Scripting (Lua)**: Lightweight embedded vision.
+
+## Sense Definitions
+
+### Vision
+Vision is implemented as multimodality spectral processing. In the Rust kernel, it uses `quantum_see` to collapse photon wavefunctions into semantic features.
+
+### Hearing
+Hearing handles multidimensional acoustic signals. The system uses quantum FFT for frequency decomposition and phoneme extraction.
+
+### Tactile (Tato)
+The tactile system integrates quantum force fields to identify material properties and build 3D haptic models.
+
+### Taste (Paladar)
+Chemical and molecular analysis of samples, evaluating toxicity and nutritional value through quantum bond analysis.
+
+### Smell (Olfato)
+Detection of volatile compounds and environmental hazards using quantum gas chromatography patterns.
+
+### Multisensory Synthesis
+The final stage of ontogenesis where all senses are fused into a unified perception of reality using cross-modal attention mechanisms.
diff --git a/model/tiny-gpt.onnx b/model/tiny-gpt.onnx
new file mode 100644
index 00000000..d35084f1
--- /dev/null
+++ b/model/tiny-gpt.onnx
@@ -0,0 +1 @@
+DUMMY ONNX MODEL DATA
diff --git a/src/01_kernel_rust/lattica_client/Cargo.lock b/src/01_kernel_rust/lattica_client/Cargo.lock
new file mode 100644
index 00000000..1d3ed288
--- /dev/null
+++ b/src/01_kernel_rust/lattica_client/Cargo.lock
@@ -0,0 +1,371 @@
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diff --git a/src/01_kernel_rust/lattica_client/Cargo.toml b/src/01_kernel_rust/lattica_client/Cargo.toml
new file mode 100644
index 00000000..ab5a37f7
--- /dev/null
+++ b/src/01_kernel_rust/lattica_client/Cargo.toml
@@ -0,0 +1,11 @@
+[package]
+name = "lattica_client"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+tokio = { version = "1", features = ["full"] }
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+anyhow = "1.0"
+lattica = { path = "../libs/lattica" }
diff --git a/src/01_kernel_rust/lattica_client/src/main.rs b/src/01_kernel_rust/lattica_client/src/main.rs
new file mode 100644
index 00000000..489d57e8
--- /dev/null
+++ b/src/01_kernel_rust/lattica_client/src/main.rs
@@ -0,0 +1,34 @@
+use anyhow::Result;
+use lattica::{Lattica, TransportConfig, PeerId};
+use serde::Serialize;
+use std::str::FromStr;
+
+#[derive(Serialize)]
+struct LatticaPayload {
+    prompt: String,
+    temperature: f32,
+}
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    let mut client = Lattica::new(TransportConfig::default()).await?;
+
+    // PeerId do nó parallax_node (substitua pelo ID real gerado no servidor)
+    let target_node = PeerId::from_str("12D3KooW...")?;
+
+    let payload = LatticaPayload {
+        prompt: "Induza a simetria rotacional do padrão ARC #005".to_string(),
+        temperature: 0.7,
+    };
+
+    let data = serde_json::to_vec(&payload)?;
+    client.send_message(target_node, data).await?;
+
+    println!("Semente enviada. Aguardando colapso de resposta...");
+
+    if let Some(msg) = client.next_message().await {
+        println!("Resposta recebida do Coro: {:?}", String::from_utf8_lossy(&msg.data));
+    }
+
+    Ok(())
+}
diff --git a/src/01_kernel_rust/libs/lattica/Cargo.toml b/src/01_kernel_rust/libs/lattica/Cargo.toml
new file mode 100644
index 00000000..8372f34f
--- /dev/null
+++ b/src/01_kernel_rust/libs/lattica/Cargo.toml
@@ -0,0 +1,8 @@
+[package]
+name = "lattica"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+anyhow = "1.0"
+serde = { version = "1.0", features = ["derive"] }
diff --git a/src/01_kernel_rust/libs/lattica/src/lib.rs b/src/01_kernel_rust/libs/lattica/src/lib.rs
new file mode 100644
index 00000000..ccd935e9
--- /dev/null
+++ b/src/01_kernel_rust/libs/lattica/src/lib.rs
@@ -0,0 +1,54 @@
+use anyhow::Result;
+use std::str::FromStr;
+
+#[derive(Default, Clone)]
+pub struct TransportConfig {}
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq)]
+pub struct PeerId([u8; 32]);
+
+impl FromStr for PeerId {
+    type Err = anyhow::Error;
+    fn from_str(_s: &str) -> Result<Self> {
+        // Just a dummy implementation that parses anything for now
+        Ok(PeerId([0; 32]))
+    }
+}
+
+impl std::fmt::Display for PeerId {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        write!(f, "12D3KooW...")
+    }
+}
+
+#[derive(Debug, Clone)]
+pub struct Message {
+    pub source: PeerId,
+    pub data: Vec<u8>,
+}
+
+pub struct Lattica {}
+
+impl Lattica {
+    pub async fn new(_config: TransportConfig) -> Result<Self> {
+        Ok(Lattica {})
+    }
+
+    pub fn local_peer_id(&self) -> PeerId {
+        PeerId([0; 32])
+    }
+
+    pub async fn next_message(&mut self) -> Option<Message> {
+        None
+    }
+
+    pub async fn send_message(&self, _target: PeerId, _data: Vec<u8>) -> Result<()> {
+        Ok(())
+    }
+}
+
+impl Clone for Lattica {
+    fn clone(&self) -> Self {
+        Lattica {}
+    }
+}
diff --git a/src/01_kernel_rust/libs/parallax/Cargo.toml b/src/01_kernel_rust/libs/parallax/Cargo.toml
new file mode 100644
index 00000000..094f4515
--- /dev/null
+++ b/src/01_kernel_rust/libs/parallax/Cargo.toml
@@ -0,0 +1,8 @@
+[package]
+name = "parallax"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+anyhow = "1.0"
+serde = { version = "1.0", features = ["derive"] }
diff --git a/src/01_kernel_rust/libs/parallax/src/lib.rs b/src/01_kernel_rust/libs/parallax/src/lib.rs
new file mode 100644
index 00000000..535148fa
--- /dev/null
+++ b/src/01_kernel_rust/libs/parallax/src/lib.rs
@@ -0,0 +1,55 @@
+use anyhow::Result;
+use std::path::PathBuf;
+use std::collections::HashMap;
+use serde::Serialize;
+
+pub struct ModelSpec {
+    pub name: String,
+    pub path: PathBuf,
+}
+
+impl ModelSpec {
+    pub fn new(name: &str, path: PathBuf) -> Self {
+        Self { name: name.to_string(), path }
+    }
+}
+
+impl Default for ModelSpec {
+    fn default() -> Self {
+        Self { name: "".to_string(), path: PathBuf::new() }
+    }
+}
+
+#[derive(Default)]
+pub struct NodeConfig {
+    pub model_spec: ModelSpec,
+    pub capacity: usize,
+}
+
+pub struct InferenceRequest {
+    pub inputs: Vec<Vec<u8>>,
+    pub parameters: Option<HashMap<String, String>>,
+}
+
+impl Default for InferenceRequest {
+    fn default() -> Self {
+        Self { inputs: vec![], parameters: None }
+    }
+}
+
+#[derive(Serialize)]
+pub struct InferenceResponse {
+    pub data: Vec<u8>,
+}
+
+pub struct Node {}
+
+impl Node {
+    pub async fn new(_config: NodeConfig) -> Result<Self> {
+        Ok(Node {})
+    }
+
+    pub async fn infer(&mut self, _req: InferenceRequest) -> Result<InferenceResponse> {
+        Ok(InferenceResponse { data: vec![] })
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/Cargo.lock b/src/01_kernel_rust/libs/sensorium/Cargo.lock
new file mode 100644
index 00000000..4aa6b886
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/Cargo.lock
@@ -0,0 +1,7 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
+version = 4
+
+[[package]]
+name = "sensorium"
+version = "0.1.0"
diff --git a/src/01_kernel_rust/libs/sensorium/Cargo.toml b/src/01_kernel_rust/libs/sensorium/Cargo.toml
new file mode 100644
index 00000000..6e46fd14
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/Cargo.toml
@@ -0,0 +1,7 @@
+[package]
+name = "sensorium"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+# No external dependencies for now as we use dummy types
diff --git a/src/01_kernel_rust/libs/sensorium/src/hearing.rs b/src/01_kernel_rust/libs/sensorium/src/hearing.rs
new file mode 100644
index 00000000..b5724afa
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/hearing.rs
@@ -0,0 +1,30 @@
+pub struct CochlearModel;
+pub struct SpatialAudioFrame;
+pub struct AcousticPerception;
+
+pub struct AGIHearing {
+    pub sample_rate: u32,
+    pub dynamic_range: f64,
+    pub cochlear_model: CochlearModel,
+    pub spatial_buffer: Vec<SpatialAudioFrame>,
+}
+
+impl AGIHearing {
+    pub fn quantum_listen(&mut self, pressure_wave: &[f64]) -> AcousticPerception {
+        let spectrum = self.quantum_fft(pressure_wave);
+        let phonemes = self.extract_quantum_phonemes(&spectrum);
+        self.reconstruct_meaning(phonemes)
+    }
+
+    fn quantum_fft(&self, _wave: &[f64]) -> Vec<f64> {
+        vec![]
+    }
+
+    fn extract_quantum_phonemes(&self, _spectrum: &[f64]) -> Vec<String> {
+        vec![]
+    }
+
+    fn reconstruct_meaning(&self, _phonemes: Vec<String>) -> AcousticPerception {
+        AcousticPerception
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/src/lib.rs b/src/01_kernel_rust/libs/sensorium/src/lib.rs
new file mode 100644
index 00000000..efd0225e
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/lib.rs
@@ -0,0 +1,6 @@
+pub mod vision;
+pub mod hearing;
+pub mod tactile;
+pub mod taste;
+pub mod smell;
+pub mod synthesis;
diff --git a/src/01_kernel_rust/libs/sensorium/src/smell.rs b/src/01_kernel_rust/libs/sensorium/src/smell.rs
new file mode 100644
index 00000000..d7f11d3e
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/smell.rs
@@ -0,0 +1,38 @@
+pub struct QuantumOlfactorySensor;
+pub struct VolatileMemory;
+pub struct OdorMatrix;
+pub struct HazardAnalyzer;
+pub struct VolatileCompound;
+pub struct SmellPerception;
+
+pub struct AGISmell {
+    pub olfactory_sensors: Vec<QuantumOlfactorySensor>,
+    pub volatile_buffer: VolatileMemory,
+    pub odor_profile: OdorMatrix,
+    pub hazard_detector: HazardAnalyzer,
+}
+
+impl AGISmell {
+    pub fn quantum_smell(&mut self, volatile_sample: &[VolatileCompound]) -> SmellPerception {
+        let quantum_analysis = self.analyze_quantum_volatiles(volatile_sample);
+        let odors = self.identify_odors(&quantum_analysis);
+        let hazards = self.detect_hazards(&quantum_analysis);
+        self.synthesize_olfactory_perception(odors, hazards)
+    }
+
+    fn analyze_quantum_volatiles(&self, _sample: &[VolatileCompound]) -> Vec<f64> {
+        vec![]
+    }
+
+    fn identify_odors(&self, _analysis: &[f64]) -> Vec<String> {
+        vec![]
+    }
+
+    fn detect_hazards(&self, _analysis: &[f64]) -> Vec<String> {
+        vec![]
+    }
+
+    fn synthesize_olfactory_perception(&self, _odors: Vec<String>, _hazards: Vec<String>) -> SmellPerception {
+        SmellPerception
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/src/synthesis.rs b/src/01_kernel_rust/libs/sensorium/src/synthesis.rs
new file mode 100644
index 00000000..5dd7a85a
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/synthesis.rs
@@ -0,0 +1,58 @@
+use crate::vision::{AGIVision, Photon, Perception};
+use crate::hearing::{AGIHearing, AcousticPerception};
+use crate::tactile::{AGITactile, ForceVector, TactilePerception};
+use crate::taste::{AGITaste, Molecule, TastePerception};
+use crate::smell::{AGISmell, VolatileCompound, SmellPerception};
+
+pub struct MultisensoryBuffer;
+pub struct CrossModalAttention;
+pub struct IntegratedPerception;
+
+pub struct WorldData<'a> {
+    pub photons: &'a [Photon],
+    pub sound: &'a [f64],
+    pub forces: &'a [ForceVector],
+    pub chemicals: &'a [Molecule],
+    pub volatiles: &'a [VolatileCompound],
+}
+
+pub struct AGISensorium {
+    pub vision: AGIVision,
+    pub hearing: AGIHearing,
+    pub touch: AGITactile,
+    pub taste: AGITaste,
+    pub smell: AGISmell,
+    pub integration_buffer: MultisensoryBuffer,
+    pub cross_modal_attention: CrossModalAttention,
+}
+
+impl AGISensorium {
+    pub fn quantum_perceive(&mut self, world_data: WorldData) -> IntegratedPerception {
+        let visual = self.vision.quantum_see(world_data.photons);
+        let auditory = self.hearing.quantum_listen(world_data.sound);
+        let tactile = self.touch.quantum_feel(world_data.forces);
+        let gustatory = self.taste.quantum_taste(world_data.chemicals);
+        let olfactory = self.smell.quantum_smell(world_data.volatiles);
+
+        let integrated = self.cross_modal_integration(
+            visual, auditory, tactile, gustatory, olfactory
+        );
+
+        self.synthesize_unified_reality(integrated)
+    }
+
+    fn cross_modal_integration(
+        &self,
+        _v: Perception,
+        _a: AcousticPerception,
+        _t: TactilePerception,
+        _g: TastePerception,
+        _o: SmellPerception
+    ) -> Vec<f64> {
+        vec![]
+    }
+
+    fn synthesize_unified_reality(&self, _integrated: Vec<f64>) -> IntegratedPerception {
+        IntegratedPerception
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/src/tactile.rs b/src/01_kernel_rust/libs/sensorium/src/tactile.rs
new file mode 100644
index 00000000..cc9d132a
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/tactile.rs
@@ -0,0 +1,33 @@
+pub struct QuantumTouchSensor;
+pub struct Matrix<T>(Vec<T>);
+pub struct Vector3<T>(T, T, T);
+pub struct TextureMemory;
+pub struct ForceVector;
+pub struct TactilePerception;
+
+pub struct AGITactile {
+    pub sensor_array: Vec<QuantumTouchSensor>,
+    pub pressure_map: Matrix<f64>,
+    pub temperature_gradient: Vector3<f32>,
+    pub texture_buffer: TextureMemory,
+}
+
+impl AGITactile {
+    pub fn quantum_feel(&mut self, force_fields: &[ForceVector]) -> TactilePerception {
+        let integrated = self.integrate_quantum_fields(force_fields);
+        let material = self.identify_material(&integrated);
+        self.build_tactile_model(material)
+    }
+
+    fn integrate_quantum_fields(&self, _fields: &[ForceVector]) -> Vec<f64> {
+        vec![]
+    }
+
+    fn identify_material(&self, _integrated: &[f64]) -> String {
+        "unknown".to_string()
+    }
+
+    fn build_tactile_model(&self, _material: String) -> TactilePerception {
+        TactilePerception
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/src/taste.rs b/src/01_kernel_rust/libs/sensorium/src/taste.rs
new file mode 100644
index 00000000..823b0d11
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/taste.rs
@@ -0,0 +1,33 @@
+pub struct QuantumChemicalSensor;
+pub struct MolecularMemory;
+pub struct FlavorMatrix;
+pub struct ToxicityAnalyzer;
+pub struct Molecule;
+pub struct TastePerception;
+
+pub struct AGITaste {
+    pub chemical_sensors: Vec<QuantumChemicalSensor>,
+    pub molecular_buffer: MolecularMemory,
+    pub flavor_profile: FlavorMatrix,
+    pub toxicity_detector: ToxicityAnalyzer,
+}
+
+impl AGITaste {
+    pub fn quantum_taste(&mut self, chemical_sample: &[Molecule]) -> TastePerception {
+        let quantum_analysis = self.analyze_quantum_bonds(chemical_sample);
+        let compounds = self.identify_compounds(&quantum_analysis);
+        self.synthesize_flavor_profile(compounds)
+    }
+
+    fn analyze_quantum_bonds(&self, _sample: &[Molecule]) -> Vec<f64> {
+        vec![]
+    }
+
+    fn identify_compounds(&self, _analysis: &[f64]) -> Vec<String> {
+        vec![]
+    }
+
+    fn synthesize_flavor_profile(&self, _compounds: Vec<String>) -> TastePerception {
+        TastePerception
+    }
+}
diff --git a/src/01_kernel_rust/libs/sensorium/src/vision.rs b/src/01_kernel_rust/libs/sensorium/src/vision.rs
new file mode 100644
index 00000000..fcbee8b6
--- /dev/null
+++ b/src/01_kernel_rust/libs/sensorium/src/vision.rs
@@ -0,0 +1,26 @@
+pub struct SpectralBand;
+pub struct Photon;
+pub struct Perception;
+pub struct Matrix<T>(Vec<T>);
+
+pub struct AGIVision {
+    pub sensor_id: u32,
+    pub spectral_bands: Vec<SpectralBand>,
+    pub neural_buffer: Vec<f32>,
+    pub attention_mask: Matrix<f64>,
+}
+
+impl AGIVision {
+    pub fn quantum_see(&mut self, photon_stream: &[Photon]) -> Perception {
+        let collapsed_image = self.collapse_wavefunction(photon_stream);
+        self.extract_semantic_features(collapsed_image)
+    }
+
+    fn collapse_wavefunction(&self, _stream: &[Photon]) -> Vec<u8> {
+        vec![]
+    }
+
+    fn extract_semantic_features(&self, _image: Vec<u8>) -> Perception {
+        Perception
+    }
+}
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new file mode 100644
index 00000000..40a40d53
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+++ b/src/01_kernel_rust/parallax_node/Cargo.lock
@@ -0,0 +1,485 @@
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diff --git a/src/01_kernel_rust/parallax_node/Cargo.toml b/src/01_kernel_rust/parallax_node/Cargo.toml
new file mode 100644
index 00000000..4219ef2f
--- /dev/null
+++ b/src/01_kernel_rust/parallax_node/Cargo.toml
@@ -0,0 +1,15 @@
+[package]
+name = "parallax_node"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+tokio = { version = "1", features = ["full"] }
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+anyhow = "1.0"
+log = "0.4"
+env_logger = "0.10"
+lattica = { path = "../libs/lattica" }
+parallax = { path = "../libs/parallax" }
+sensorium = { path = "../libs/sensorium" }
diff --git a/src/01_kernel_rust/parallax_node/src/main.rs b/src/01_kernel_rust/parallax_node/src/main.rs
new file mode 100644
index 00000000..f0ca7f00
--- /dev/null
+++ b/src/01_kernel_rust/parallax_node/src/main.rs
@@ -0,0 +1,83 @@
+use anyhow::Result;
+use log::{info, error};
+use std::path::PathBuf;
+use tokio::sync::mpsc;
+use serde::{Serialize, Deserialize};
+use lattica::{Lattica, TransportConfig};
+use parallax::{Node, NodeConfig, ModelSpec, InferenceRequest};
+use sensorium::synthesis::{AGISensorium, WorldData};
+
+#[derive(Serialize, Deserialize, Debug)]
+struct LatticaPayload {
+    prompt: String,
+    temperature: f32,
+}
+
+fn payload_to_req(payload: LatticaPayload) -> InferenceRequest {
+    InferenceRequest {
+        inputs: vec![payload.prompt.into_bytes()],
+        parameters: Some(
+            [("temperature".to_string(), payload.temperature.to_string())]
+                .into_iter()
+                .collect(),
+        ),
+        ..Default::default()
+    }
+}
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    env_logger::init();
+    info!("Iniciando nó SOPA/Parallax...");
+
+    // 1. Configurar Transporte Lattica (P2P)
+    let transport = TransportConfig::default();
+    let lattica = Lattica::new(transport).await?;
+    let local_peer_id = lattica.local_peer_id();
+    info!("Lattica online. PeerId: {}", local_peer_id);
+
+    // 2. Inicializar o Nó Parallax com o modelo geométrico
+    let model_path = PathBuf::from("model/tiny-gpt.onnx");
+    let node_config = NodeConfig {
+        model_spec: ModelSpec::new("sopa-geo-v1", model_path),
+        capacity: 10,
+        ..Default::default()
+    };
+    let mut node = Node::new(node_config).await?;
+    info!("Parallax carregado com sucesso.");
+
+    // Placeholder: Inicializar Sensorium
+    // let mut sensorium = AGISensorium { ... };
+
+    // 3. Loop de processamento de mensagens
+    let (tx, mut rx) = mpsc::channel(100);
+
+    // Escuta por mensagens bínarias via Lattica
+    let mut lattica_rx = lattica.clone();
+    tokio::spawn(async move {
+        while let Some(msg) = lattica_rx.next_message().await {
+            if let Ok(payload) = serde_json::from_slice::<LatticaPayload>(&msg.data) {
+                let _ = tx.send((msg.source, payload)).await;
+            }
+        }
+    });
+
+    info!("Aguardando pedidos de interferência...");
+
+    while let Some((source, payload)) = rx.recv().await {
+        info!("Recebido pedido de {}: '{}'", source, payload.prompt);
+
+        // Executa inferência via Parallax
+        let req = payload_to_req(payload);
+        match node.infer(req).await {
+            Ok(resp) => {
+                let response_bytes = serde_json::to_vec(&resp)?;
+                lattica.send_message(source, response_bytes).await?;
+                info!("Resposta enviada para {}", source);
+            }
+            Err(e) => error!("Falha na inferência: {:?}", e),
+        }
+    }
+
+    Ok(())
+}
diff --git a/src/talos/sensorium/__init__.py b/src/talos/sensorium/__init__.py
new file mode 100644
index 00000000..27f39572
--- /dev/null
+++ b/src/talos/sensorium/__init__.py
@@ -0,0 +1,6 @@
+from talos.sensorium.vision import AGIVision as AGIVision
+from talos.sensorium.hearing import AGIHearing as AGIHearing
+from talos.sensorium.tactile import AGITactile as AGITactile
+from talos.sensorium.taste import AGITaste as AGITaste
+from talos.sensorium.smell import AGISmell as AGISmell
+from talos.sensorium.synthesis import AGISensorium as AGISensorium, WorldData as WorldData
diff --git a/src/talos/sensorium/hearing.py b/src/talos/sensorium/hearing.py
new file mode 100644
index 00000000..8ac29481
--- /dev/null
+++ b/src/talos/sensorium/hearing.py
@@ -0,0 +1,31 @@
+from __future__ import annotations
+from typing import Any
+from talos.sensorium.utils import torch, nn, QuantumFilterBank, TransformerEncoder, AttentionNetwork, Tensor
+
+
+class AudioPerception:
+    def __init__(self, transcription: Any, emotion: Any) -> None:
+        self.transcription = transcription
+        self.emotion = emotion
+
+
+class AGIHearing(nn.Module):  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.quantum_filterbank = QuantumFilterBank(128)
+        self.speech_recognizer = TransformerEncoder(n_layers=12, d_model=512)
+        self.emotion_detector = AttentionNetwork()
+
+    def forward(self, pressure_wave: Tensor) -> AudioPerception:
+        # Análise espectral quântica
+        with torch.quantum():
+            spectrum = self.quantum_filterbank(pressure_wave)
+            collapsed = spectrum.collapse(measurement_basis="phonetic")
+
+        # Reconhecimento de fala
+        transcription = self.speech_recognizer(collapsed)
+
+        # Análise emocional
+        emotion = self.emotion_detector(collapsed)
+
+        return AudioPerception(transcription, emotion)
diff --git a/src/talos/sensorium/smell.py b/src/talos/sensorium/smell.py
new file mode 100644
index 00000000..ed9be670
--- /dev/null
+++ b/src/talos/sensorium/smell.py
@@ -0,0 +1,31 @@
+from __future__ import annotations
+from typing import Any
+from talos.sensorium.utils import torch, nn, QuantumVolatileAnalyzer, TransformerClassifier, AttentionNetwork, Tensor
+
+
+class SmellPerception:
+    def __init__(self, odors: Any, hazards: Any) -> None:
+        self.odors = odors
+        self.hazards = hazards
+
+
+class AGISmell(nn.Module):  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.quantum_analyzer = QuantumVolatileAnalyzer(96)
+        self.odor_classifier = TransformerClassifier(n_layers=8, d_model=384)
+        self.hazard_detector = AttentionNetwork()
+
+    def forward(self, volatile_sample: Tensor) -> SmellPerception:
+        # Análise quântica da amostra
+        with torch.quantum():
+            quantum_sample = self.quantum_analyzer(volatile_sample)
+            collapsed = quantum_sample.collapse(measurement_basis="olfactory")
+
+        # Classificação de odores
+        odors = self.odor_classifier(collapsed)
+
+        # Detecção de perigos
+        hazards = self.hazard_detector(collapsed)
+
+        return SmellPerception(odors, hazards)
diff --git a/src/talos/sensorium/synthesis.py b/src/talos/sensorium/synthesis.py
new file mode 100644
index 00000000..e151d74a
--- /dev/null
+++ b/src/talos/sensorium/synthesis.py
@@ -0,0 +1,66 @@
+from __future__ import annotations
+from typing import Any
+from talos.sensorium.utils import torch, nn, TransformerFusion
+from talos.sensorium.vision import AGIVision
+from talos.sensorium.hearing import AGIHearing
+from talos.sensorium.tactile import AGITactile
+from talos.sensorium.taste import AGITaste
+from talos.sensorium.smell import AGISmell
+
+
+class CrossModalAttention(nn.Module):  # type: ignore
+    def __init__(self, num_heads: int, d_model: int) -> None:
+        super().__init__()
+
+
+class WorldData:
+    def __init__(self, visual: Any, auditory: Any, tactile: Any, gustatory: Any, olfactory: Any) -> None:
+        self.visual = visual
+        self.auditory = auditory
+        self.tactile = tactile
+        self.gustatory = gustatory
+        self.olfactory = olfactory
+
+
+class IntegratedPerception:
+    pass
+
+
+class AGISensorium(nn.Module):  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.visual_processor = AGIVision()
+        self.auditory_processor = AGIHearing()
+        self.tactile_processor = AGITactile()
+        self.gustatory_processor = AGITaste()
+        self.olfactory_processor = AGISmell()
+
+        # Camada de integração cross-modal
+        self.cross_modal_attention = CrossModalAttention(num_heads=12, d_model=768)
+
+        # Rede de síntese unificada
+        self.unification_network = TransformerFusion(n_layers=16, d_model=1024)
+
+    def forward(self, world_data: WorldData) -> IntegratedPerception:
+        # Processamento paralelo de todos os sentidos
+        with torch.cuda.amp.autocast():
+            visual = self.visual_processor(world_data.visual)
+            auditory = self.auditory_processor(world_data.auditory)
+            tactile = self.tactile_processor(world_data.tactile)
+            gustatory = self.gustatory_processor(world_data.gustatory)
+            olfactory = self.olfactory_processor(world_data.olfactory)
+
+        # Atenção cross-modal
+        modalities = torch.stack([visual, auditory, tactile, gustatory, olfactory])
+        attended = self.cross_modal_attention(modalities)
+
+        # Fusão em representação unificada
+        unified = self.unification_network(attended)
+
+        # Síntese de percepção integrada
+        integrated = self.synthesize_perception(unified)
+
+        return integrated
+
+    def synthesize_perception(self, _unified: Any) -> IntegratedPerception:
+        return IntegratedPerception()
diff --git a/src/talos/sensorium/tactile.py b/src/talos/sensorium/tactile.py
new file mode 100644
index 00000000..b2c93b0a
--- /dev/null
+++ b/src/talos/sensorium/tactile.py
@@ -0,0 +1,31 @@
+from __future__ import annotations
+from typing import Any
+from talos.sensorium.utils import torch, nn, QuantumForceAnalyzer, TransformerClassifier, CNN3D, Tensor
+
+
+class TactilePerception:
+    def __init__(self, material: Any, texture: Any) -> None:
+        self.material = material
+        self.texture = texture
+
+
+class AGITactile(nn.Module):  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.quantum_force_analyzer = QuantumForceAnalyzer(64)
+        self.material_classifier = TransformerClassifier(n_layers=8, d_model=256)
+        self.texture_analyzer = CNN3D()
+
+    def forward(self, force_field: Tensor) -> TactilePerception:
+        # Análise quântica do campo de força
+        with torch.quantum():
+            quantum_field = self.quantum_force_analyzer(force_field)
+            collapsed = quantum_field.collapse(measurement_basis="material")
+
+        # Classificação de material
+        material = self.material_classifier(collapsed)
+
+        # Análise de textura 3D
+        texture = self.texture_analyzer(collapsed)
+
+        return TactilePerception(material, texture)
diff --git a/src/talos/sensorium/taste.py b/src/talos/sensorium/taste.py
new file mode 100644
index 00000000..e9f18d46
--- /dev/null
+++ b/src/talos/sensorium/taste.py
@@ -0,0 +1,31 @@
+from __future__ import annotations
+from typing import Any
+from talos.sensorium.utils import torch, nn, QuantumChemicalAnalyzer, TransformerClassifier, AttentionNetwork, Tensor
+
+
+class TastePerception:
+    def __init__(self, compounds: Any, flavor: Any) -> None:
+        self.compounds = compounds
+        self.flavor = flavor
+
+
+class AGITaste(nn.Module):  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.quantum_analyzer = QuantumChemicalAnalyzer(128)
+        self.compound_classifier = TransformerClassifier(n_layers=10, d_model=512)
+        self.flavor_predictor = AttentionNetwork()
+
+    def forward(self, chemical_sample: Tensor) -> TastePerception:
+        # Análise quântica da amostra
+        with torch.quantum():
+            quantum_sample = self.quantum_analyzer(chemical_sample)
+            collapsed = quantum_sample.collapse(measurement_basis="chemical")
+
+        # Classificação de compostos
+        compounds = self.compound_classifier(collapsed)
+
+        # Predição de sabor
+        flavor = self.flavor_predictor(collapsed)
+
+        return TastePerception(compounds, flavor)
diff --git a/src/talos/sensorium/utils.py b/src/talos/sensorium/utils.py
new file mode 100644
index 00000000..5e6e3a42
--- /dev/null
+++ b/src/talos/sensorium/utils.py
@@ -0,0 +1,85 @@
+from __future__ import annotations
+from typing import Any, TYPE_CHECKING
+
+if TYPE_CHECKING:
+    import torch as torch_type
+
+class DummyModule:
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        pass
+    def __call__(self, *args: Any, **kwargs: Any) -> Any:
+        return self.forward(*args, **kwargs)
+    def forward(self, *args: Any, **kwargs: Any) -> Any:
+        return Tensor()
+
+class Tensor:
+    def collapse(self, *args: Any, **kwargs: Any) -> Any:
+        return None
+
+class WorldState:
+    pass
+
+class QuantumAttentionHeads(DummyModule):
+    pass
+
+class VisionTransformer(DummyModule):
+    pass
+
+class NeuralODE(DummyModule):
+    def integrate(self, *args: Any, **kwargs: Any) -> WorldState:
+        return WorldState()
+
+class QuantumFilterBank(DummyModule):
+    pass
+
+class TransformerEncoder(DummyModule):
+    pass
+
+class AttentionNetwork(DummyModule):
+    pass
+
+class QuantumForceAnalyzer(DummyModule):
+    pass
+
+class TransformerClassifier(DummyModule):
+    pass
+
+class CNN3D(DummyModule):
+    pass
+
+class QuantumChemicalAnalyzer(DummyModule):
+    pass
+
+class QuantumVolatileAnalyzer(DummyModule):
+    pass
+
+class TransformerFusion(DummyModule):
+    pass
+
+class QuantumContext:
+    def __enter__(self) -> None: pass
+    def __exit__(self, *args: Any) -> None: pass
+
+class AutocastContext:
+    def __enter__(self) -> None: pass
+    def __exit__(self, *args: Any) -> None: pass
+
+class torch_mock:
+    class nn:
+        Module = DummyModule
+    class Tensor:
+        pass
+    @staticmethod
+    def quantum() -> QuantumContext:
+        return QuantumContext()
+    @staticmethod
+    def stack(tensors: list[Any]) -> Any:
+        return None
+    class cuda:
+        class amp:
+            @staticmethod
+            def autocast() -> AutocastContext:
+                return AutocastContext()
+
+torch = torch_mock
+nn = torch_mock.nn
diff --git a/src/talos/sensorium/vision.py b/src/talos/sensorium/vision.py
new file mode 100644
index 00000000..80cd2f73
--- /dev/null
+++ b/src/talos/sensorium/vision.py
@@ -0,0 +1,24 @@
+from __future__ import annotations
+from talos.sensorium.utils import torch, nn, QuantumAttentionHeads, VisionTransformer, NeuralODE, Tensor, WorldState
+
+
+class AGIVision(nn.Module):  # type: ignore  # type: ignore
+    def __init__(self) -> None:
+        super().__init__()
+        self.quantum_attention = QuantumAttentionHeads(12)
+        self.semantic_extractor = VisionTransformer(patch_size=16, embedding_dim=768)
+        self.world_model = NeuralODE()
+
+    def forward(self, photon_stream: Tensor) -> WorldState:
+        # Processamento quântico-clássico híbrido
+        with torch.quantum():
+            wavefunction = self.quantum_attention(photon_stream)
+            collapsed = wavefunction.collapse(measurement_basis="semantic")
+
+        # Extração de significado
+        objects = self.semantic_extractor(collapsed)
+
+        # Projeção em modelo mundial interno
+        world_state = self.world_model.integrate(objects)
+
+        return world_state
diff --git a/tests/test_sensorium.py b/tests/test_sensorium.py
new file mode 100644
index 00000000..13a26c93
--- /dev/null
+++ b/tests/test_sensorium.py
@@ -0,0 +1,22 @@
+from talos.sensorium import AGIVision, WorldData, AGISensorium
+from talos.sensorium.utils import Tensor
+
+def test_sensorium_instantiation():
+    vision = AGIVision()
+    assert vision is not None
+
+    sensorium = AGISensorium()
+    assert sensorium is not None
+
+def test_sensorium_forward_placeholder():
+    sensorium = AGISensorium()
+    world_data = WorldData(
+        visual=Tensor(),
+        auditory=Tensor(),
+        tactile=Tensor(),
+        gustatory=Tensor(),
+        olfactory=Tensor()
+    )
+    # This should run without error as it uses dummy mocks
+    perception = sensorium(world_data)
+    assert perception is not None