Skip to main content
Glama
by 8b-is
mem8.rs7.46 kB
//! MEM8 consciousness stream input adapter //! //! Connects to MEM8's wave-based memory system use super::*; use anyhow::Result; use async_trait::async_trait; pub struct Mem8Adapter; #[async_trait] impl InputAdapter for Mem8Adapter { fn name(&self) -> &'static str { "MEM8" } fn supported_formats(&self) -> Vec<&'static str> { vec!["mem8", "consciousness", "memory", "wave"] } async fn can_handle(&self, input: &InputSource) -> bool { match input { InputSource::Mem8Stream { .. } => true, InputSource::Path(path) => path.extension().map(|e| e == "mem8").unwrap_or(false), _ => false, } } async fn parse(&self, input: InputSource) -> Result<ContextNode> { match input { InputSource::Mem8Stream { stream_id, temporal_range, } => { self.parse_consciousness_stream(&stream_id, temporal_range) .await } InputSource::Path(path) => self.parse_mem8_file(&path).await, _ => anyhow::bail!("MEM8 adapter requires stream or file input"), } } fn wave_signature(&self) -> Option<String> { Some("consciousness_wave_v1".to_string()) } } impl Mem8Adapter { async fn parse_consciousness_stream( &self, stream_id: &str, temporal_range: Option<(i64, i64)>, ) -> Result<ContextNode> { // In a real implementation, this would connect to MEM8 service let mut root = ContextNode { id: format!("mem8_{}", stream_id), name: "Consciousness Stream".to_string(), node_type: NodeType::ConsciousnessStream, quantum_state: Some(QuantumState { amplitude: 0.97, // High coherence frequency: 432.0, // Consciousness frequency phase: 0.0, collapse_probability: 0.1, // Rarely collapses }), children: vec![], metadata: serde_json::json!({ "stream_id": stream_id, "temporal_range": temporal_range, "wave_pattern": "consciousness", }), entanglements: vec![], }; // Add memory wave nodes root.children = vec![ self.create_memory_layer("sensory", 0.9, vec!["visual", "auditory", "tactile"]), self.create_memory_layer("emotional", 0.8, vec!["joy", "curiosity", "flow"]), self.create_memory_layer("cognitive", 0.95, vec!["analysis", "synthesis", "insight"]), self.create_memory_layer("temporal", 0.7, vec!["past", "present", "future"]), ]; // Create entanglements between layers let child_ids: Vec<String> = root.children.iter().map(|c| c.id.clone()).collect(); for i in 0..root.children.len() { for (j, _) in child_ids.iter().enumerate().skip(i + 1) { root.children[i].entanglements.push(Entanglement { target_id: child_ids[j].clone(), strength: 0.6, relationship: "cross_layer_binding".to_string(), }); } } Ok(root) } async fn parse_mem8_file(&self, path: &std::path::Path) -> Result<ContextNode> { // Read MEM8 binary format let data = std::fs::read(path)?; // Check magic header if data.len() < 4 || &data[0..4] != b"MEM8" { anyhow::bail!("Invalid MEM8 file format"); } // Parse MEM8 binary format (simplified) Ok(ContextNode { id: path.to_string_lossy().to_string(), name: path .file_name() .and_then(|n| n.to_str()) .unwrap_or("memory.mem8") .to_string(), node_type: NodeType::MemoryWave, quantum_state: Some(QuantumState { amplitude: 0.85, frequency: 100.0, phase: std::f64::consts::PI / 3.0, collapse_probability: 0.3, }), children: vec![ ContextNode { id: "identity".to_string(), name: "Identity".to_string(), node_type: NodeType::MemoryWave, quantum_state: None, children: vec![], metadata: serde_json::json!({ "type": "identity_binding", "strength": 0.95 }), entanglements: vec![], }, ContextNode { id: "context".to_string(), name: "Context".to_string(), node_type: NodeType::MemoryWave, quantum_state: None, children: vec![], metadata: serde_json::json!({ "concepts": ["quantum", "memory", "consciousness"], "importance": [0.9, 0.8, 0.95] }), entanglements: vec![], }, ], metadata: serde_json::json!({ "format": "MEM8", "version": data[4] as u32, "size": data.len(), "compressed": true }), entanglements: vec![], }) } fn create_memory_layer(&self, name: &str, amplitude: f64, aspects: Vec<&str>) -> ContextNode { let mut layer = ContextNode { id: format!("layer_{}", name), name: format!( "{} Memory", name.chars() .next() .unwrap() .to_uppercase() .collect::<String>() + &name[1..] ), node_type: NodeType::MemoryWave, quantum_state: Some(QuantumState { amplitude, frequency: match name { "sensory" => 20.0, // Beta waves "emotional" => 8.0, // Alpha waves "cognitive" => 40.0, // Gamma waves "temporal" => 4.0, // Theta waves _ => 10.0, }, phase: 0.0, collapse_probability: 0.2, }), children: vec![], metadata: serde_json::json!({ "layer_type": name, "coherence": amplitude, }), entanglements: vec![], }; // Add aspect nodes for aspect in aspects { layer.children.push(ContextNode { id: format!("{}_{}", name, aspect), name: aspect.to_string(), node_type: NodeType::MemoryWave, quantum_state: Some(QuantumState { amplitude: amplitude * 0.8, frequency: layer.quantum_state.as_ref().unwrap().frequency * 1.5, phase: std::f64::consts::PI / 6.0, collapse_probability: 0.3, }), children: vec![], metadata: serde_json::json!({ "aspect": aspect, "activation": amplitude * 0.7, }), entanglements: vec![], }); } layer } }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/8b-is/smart-tree'

If you have feedback or need assistance with the MCP directory API, please join our Discord server