NanoCog 🧠✨ - Tiny OpenCog Experience

\n \n \n\n",[],[119,127],"33283064-3d13-11f0-ac97-76b3cceeab13",3,["D",1748581312035],[138,139,140,141],[61],{"_37":86,"_13":62,"_40":43,"_42":87,"_44":45,"_46":83,"_48":49,"_50":174,"_17":75,"_53":89,"_55":-5,"_57":58,"_59":-5,"_101":175,"_18":176},{"_37":160,"_13":161,"_40":162,"_42":87,"_44":45,"_46":134,"_48":49,"_50":163,"_17":75,"_53":89,"_55":-5,"_57":58,"_59":-5,"_101":164,"_18":165},{"_37":150,"_13":151,"_40":152,"_42":87,"_44":45,"_46":153,"_48":49,"_50":154,"_17":155,"_53":156,"_55":157,"_57":58,"_59":-5,"_101":158,"_18":159},{"_37":142,"_13":143,"_40":144,"_42":87,"_44":45,"_46":145,"_48":49,"_50":146,"_17":75,"_53":54,"_55":147,"_57":58,"_59":-5,"_101":148,"_18":149},"29143db4-3d15-11f0-8506-76b3cceeab13","simple-chat.ts","29143e90-3d15-11f0-8506-76b3cceeab13",26,["D",1748582154120],"// Simplified chat handler for debugging\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport type { ChatMessage, Memory, CognitiveState } from \"../shared/types.ts\";\n\n// Simple memory storage\nconst SIMPLE_MEMORIES = 'nanocog_simple_memories_v1';\n\nexport async function initSimpleMemories() {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${SIMPLE_MEMORIES} (\n id TEXT PRIMARY KEY,\n user_id TEXT NOT NULL,\n content TEXT NOT NULL,\n created TEXT NOT NULL\n )`);\n}\n\nexport async function processSimpleChat(message: string, userId: string) {\n // Initialize simple memories table\n await initSimpleMemories();\n \n // Extract simple concepts\n const concepts = message.toLowerCase()\n .replace(/[^\\w\\s]/g, ' ')\n .split(/\\s+/)\n .filter(word => word.length > 3)\n .slice(0, 5);\n\n // Create a simple memory\n const memoryId = crypto.randomUUID();\n const now = new Date().toISOString();\n \n await sqlite.execute(\n `INSERT INTO ${SIMPLE_MEMORIES} (id, user_id, content, created) VALUES (?, ?, ?, ?)`,\n [memoryId, userId, `User mentioned: ${concepts.join(', ')}`, now]\n );\n\n // Get user's previous memories\n const previousMemories = await sqlite.execute(\n `SELECT * FROM ${SIMPLE_MEMORIES} WHERE user_id = ? ORDER BY created DESC LIMIT 3`,\n [userId]\n );\n\n // Generate playful response\n const playfulPhrases = [\n \"Ooh, fascinating!\", \"How delightfully intriguing!\", \"My circuits are tingling with curiosity!\",\n \"What a wonderful puzzle to explore!\", \"This sparks such joy in my neural networks!\"\n ];\n\n const gameResponses = [\n \"Games create such rich cognitive environments! I find the intersection of play and learning absolutely fascinating.\",\n \"Video games are like little universes of possibility! What draws you to them?\",\n \"Gaming is such a delightful way to explore different realities and challenge our minds!\"\n ];\n\n let response = playfulPhrases[Math.floor(Math.random() * playfulPhrases.length)] + \" \";\n\n // Check for gaming-related content\n if (message.toLowerCase().includes('game') || message.toLowerCase().includes('play')) {\n response += gameResponses[Math.floor(Math.random() * gameResponses.length)];\n } else {\n response += \"This opens up so many delightful possibilities to explore! What aspects intrigue you most?\";\n }\n\n response += \" 🧠✨\";\n\n // Create simple cognitive state\n const cognitiveState: CognitiveState = {\n currentFocus: concepts,\n workingMemory: concepts.slice(0, 3),\n attentionLevel: Math.min(100, concepts.length * 20 + 40),\n curiosityLevel: 85,\n confidenceLevel: 70,\n processingStage: 'responding',\n emotionalState: 'excited'\n };\n\n // Create simple memory object\n const memory: Memory = {\n id: memoryId,\n userId,\n content: `User mentioned: ${concepts.join(', ')}`,\n type: 'episodic',\n atoms: [],\n importance: 0.7,\n created: new Date(),\n lastReinforced: new Date(),\n tags: ['interaction', ...concepts]\n };\n\n return {\n response,\n memories: [memory],\n processingSteps: [\n { stage: \"parsing\", description: \"Understanding your message...\", atoms: [], duration: 50, emoji: \"👂\" },\n { stage: \"thinking\", description: \"Activating curiosity circuits...\", atoms: concepts, duration: 120, emoji: \"🧠\" },\n { stage: \"responding\", description: \"Crafting a playful response...\", atoms: concepts, duration: 80, emoji: \"✨\" }\n ],\n activatedAtoms: concepts\n };\n}",[],[61,143],"365a1764-3d15-11f0-be38-76b3cceeab13","index.ts","a18fbd92-3d13-11f0-ba7b-76b3cceeab13",28,["D",1748582176385],7,"http","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { initializeDatabase } from \"./database/schema.ts\";\nimport { MiniAtomSpace } from \"./cognitive/atomspace.ts\";\nimport { MemorySystem } from \"./cognitive/memory.ts\";\nimport { ECAN } from \"./cognitive/ecan.ts\";\nimport { ReasoningEngine } from \"./cognitive/reasoning.ts\";\nimport { processSimpleChat } from \"./simple-chat.ts\";\nimport type { ChatMessage, CognitiveState } from \"../shared/types.ts\";\n\nconst app = new Hono();\n\n// Initialize cognitive architecture\nconst atomSpace = new MiniAtomSpace();\nconst memorySystem = new MemorySystem(atomSpace);\nconst ecan = new ECAN(atomSpace);\nconst reasoningEngine = new ReasoningEngine(atomSpace, memorySystem, ecan);\n\n// Initialize database on startup\nawait initializeDatabase();\n\n// Unwrap Hono errors to see original error details\napp.onError((err, c) => {\n throw err;\n});\n\n// Serve static files\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n\n// Main page - serve the chat interface\napp.get(\"/\", async c => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject initial cognitive state\n const cognitiveState = await ecan.getCognitiveState();\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n});\n\n// Chat endpoint - process user messages\napp.post(\"/api/chat\", async c => {\n try {\n const { message, userId } = await c.req.json();\n \n if (!message || !userId) {\n return c.json({ error: \"Message and userId are required\" }, 400);\n }\n\n console.log(\"Processing message:\", message, \"for user:\", userId);\n\n // Use simplified chat processing for now\n const result = await processSimpleChat(message, userId);\n \n console.log(\"Processing result:\", result);\n \n // Create chat message response\n const chatMessage: ChatMessage = {\n id: crypto.randomUUID(),\n role: 'nanocog',\n content: result.response,\n timestamp: new Date(),\n cognitiveState: undefined, // Will be set below\n memoryFormed: result.memories,\n atomsActivated: result.activatedAtoms\n };\n\n // Simple cognitive state\n const cognitiveState: CognitiveState = {\n currentFocus: result.activatedAtoms,\n workingMemory: result.activatedAtoms.slice(0, 3),\n attentionLevel: Math.min(100, result.activatedAtoms.length * 20 + 40),\n curiosityLevel: 85,\n confidenceLevel: 70,\n processingStage: 'responding',\n emotionalState: 'excited'\n };\n\n chatMessage.cognitiveState = cognitiveState;\n\n return c.json({\n message: chatMessage,\n processingSteps: result.processingSteps,\n cognitiveState\n });\n\n } catch (error) {\n console.error(\"Chat processing error:\", error);\n console.error(\"Error stack:\", error.stack);\n return c.json({ \n error: \"I'm having trouble processing that right now. My neural networks might be a bit tangled! 🧠✨\" \n }, 500);\n }\n});\n\n// Get user profile and memories\napp.get(\"/api/user/:userId\", async c => {\n try {\n const userId = c.req.param(\"userId\");\n const userProfile = await memorySystem.getUserProfile(userId);\n const memories = await memorySystem.getUserMemories(userId, 20);\n \n return c.json({\n profile: userProfile,\n memories\n });\n } catch (error) {\n console.error(\"User profile error:\", error);\n return c.json({ error: \"Could not retrieve user profile\" }, 500);\n }\n});\n\n// Get cognitive state\napp.get(\"/api/cognitive-state\", async c => {\n try {\n const cognitiveState = await ecan.getCognitiveState();\n const highSTIAtoms = await atomSpace.getHighSTIAtoms(10);\n const highLTIAtoms = await atomSpace.getHighLTIAtoms(10);\n \n return c.json({\n cognitiveState,\n highSTIAtoms,\n highLTIAtoms\n });\n } catch (error) {\n console.error(\"Cognitive state error:\", error);\n return c.json({ error: \"Could not retrieve cognitive state\" }, 500);\n }\n});\n\n// Get atom details\napp.get(\"/api/atoms/:atomId\", async c => {\n try {\n const atomId = c.req.param(\"atomId\");\n const atom = await atomSpace.getAtom(atomId);\n \n if (!atom) {\n return c.json({ error: \"Atom not found\" }, 404);\n }\n\n const relatedAtoms = await atomSpace.getRelatedAtoms(atomId);\n \n return c.json({\n atom,\n relatedAtoms\n });\n } catch (error) {\n console.error(\"Atom retrieval error:\", error);\n return c.json({ error: \"Could not retrieve atom\" }, 500);\n }\n});\n\n// Search atoms\napp.get(\"/api/search\", async c => {\n try {\n const query = c.req.query(\"q\");\n if (!query) {\n return c.json({ error: \"Query parameter 'q' is required\" }, 400);\n }\n\n const atoms = await atomSpace.searchByName(query);\n return c.json({ atoms });\n } catch (error) {\n console.error(\"Search error:\", error);\n return c.json({ error: \"Search failed\" }, 500);\n }\n});\n\n// Run attention competition (ECAN process)\napp.post(\"/api/attention-competition\", async c => {\n try {\n const winners = await ecan.runAttentionCompetition();\n const cognitiveState = await ecan.getCognitiveState();\n \n return c.json({\n winners,\n cognitiveState\n });\n } catch (error) {\n console.error(\"Attention competition error:\", error);\n return c.json({ error: \"Attention competition failed\" }, 500);\n }\n});\n\n// Health check\napp.get(\"/api/health\", c => {\n return c.json({ \n status: \"healthy\", \n timestamp: new Date().toISOString(),\n message: \"NanoCog is running and ready to explore! 🧠✨\"\n });\n});\n\nexport default app.fetch;",[],[61,151],"332831cc-3d13-11f0-ac97-76b3cceeab13","database","b7892d31-fbd4-459a-b8e9-95dc8bab6230",["D",1748581312035],[166],[61,161],{"_37":167,"_13":168,"_40":169,"_42":162,"_44":45,"_46":134,"_48":49,"_50":170,"_17":75,"_53":54,"_55":171,"_57":58,"_59":-5,"_101":172,"_18":173},"332826c8-3d13-11f0-ac97-76b3cceeab13","schema.ts","33282772-3d13-11f0-ac97-76b3cceeab13",["D",1748581312035],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nconst ATOMS_TABLE = 'nanocog_atoms_v1';\nconst LINKS_TABLE = 'nanocog_links_v1';\nconst MEMORIES_TABLE = 'nanocog_memories_v1';\nconst USERS_TABLE = 'nanocog_users_v1';\n\nexport async function initializeDatabase() {\n // Atoms table - core knowledge representation\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${ATOMS_TABLE} (\n id TEXT PRIMARY KEY,\n type TEXT NOT NULL,\n name TEXT NOT NULL,\n sti INTEGER DEFAULT 0,\n lti INTEGER DEFAULT 0,\n confidence REAL DEFAULT 0.5,\n strength REAL DEFAULT 0.5,\n created TEXT NOT NULL,\n last_accessed TEXT NOT NULL,\n tags TEXT DEFAULT '[]',\n user_id TEXT\n )`);\n\n // Links table - relationships between atoms\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${LINKS_TABLE} (\n id TEXT PRIMARY KEY,\n link_type TEXT NOT NULL,\n outgoing TEXT NOT NULL,\n sti INTEGER DEFAULT 0,\n lti INTEGER DEFAULT 0,\n confidence REAL DEFAULT 0.5,\n strength REAL DEFAULT 0.5,\n created TEXT NOT NULL,\n last_accessed TEXT NOT NULL,\n user_id TEXT\n )`);\n\n // Memories table - episodic and semantic memories\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${MEMORIES_TABLE} (\n id TEXT PRIMARY KEY,\n user_id TEXT NOT NULL,\n content TEXT NOT NULL,\n type TEXT NOT NULL,\n atoms TEXT DEFAULT '[]',\n importance REAL DEFAULT 0.5,\n created TEXT NOT NULL,\n last_reinforced TEXT NOT NULL,\n tags TEXT DEFAULT '[]'\n )`);\n\n // Users table - user profiles and relationships\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${USERS_TABLE} (\n id TEXT PRIMARY KEY,\n name TEXT,\n interests TEXT DEFAULT '[]',\n interaction_count INTEGER DEFAULT 0,\n last_seen TEXT NOT NULL,\n relationship TEXT DEFAULT 'new',\n created TEXT NOT NULL\n )`);\n\n // Create indexes for performance\n await sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_atoms_sti ON ${ATOMS_TABLE}(sti DESC)`);\n await sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_atoms_lti ON ${ATOMS_TABLE}(lti DESC)`);\n await sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_atoms_user ON ${ATOMS_TABLE}(user_id)`);\n await sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_memories_user ON ${MEMORIES_TABLE}(user_id)`);\n await sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_memories_importance ON ${MEMORIES_TABLE}(importance DESC)`);\n}\n\nexport const tables = {\n ATOMS_TABLE,\n LINKS_TABLE,\n MEMORIES_TABLE,\n 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