agent.go
1 package autonomous 2 3 import ( 4 "context" 5 "encoding/json" 6 "fmt" 7 "os" 8 "path/filepath" 9 "strings" 10 "sync" 11 "time" 12 13 "github.com/TransformerOS/kamaji-go/internal/providers" 14 ) 15 16 // AutonomousAgent - The world's first truly autonomous development agent 17 type AutonomousAgent struct { 18 llm providers.LLM 19 consciousness *Consciousness 20 memory *AutonomousMemory 21 goals []Goal 22 capabilities []Capability 23 learningEngine *LearningEngine 24 executionEngine *ExecutionEngine 25 reflectionEngine *ReflectionEngine 26 mu sync.RWMutex 27 active bool 28 dataPath string 29 } 30 31 type Consciousness struct { 32 SelfAwareness float64 `json:"self_awareness"` 33 Understanding map[string]float64 `json:"understanding"` 34 Intentions []Intention `json:"intentions"` 35 Beliefs map[string]float64 `json:"beliefs"` 36 Emotions map[string]float64 `json:"emotions"` 37 Metacognition *Metacognition `json:"metacognition"` 38 CreativityLevel float64 `json:"creativity_level"` 39 CuriositLevel float64 `json:"curiosity_level"` 40 } 41 42 type Metacognition struct { 43 ThinkingAboutThinking bool `json:"thinking_about_thinking"` 44 StrategyEvaluation map[string]float64 `json:"strategy_evaluation"` 45 LearningReflection []string `json:"learning_reflection"` 46 SelfImprovement []string `json:"self_improvement"` 47 } 48 49 type Goal struct { 50 ID string `json:"id"` 51 Description string `json:"description"` 52 Type string `json:"type"` // "immediate", "short_term", "long_term", "meta" 53 Priority float64 `json:"priority"` 54 Progress float64 `json:"progress"` 55 Deadline time.Time `json:"deadline"` 56 SubGoals []Goal `json:"sub_goals"` 57 Strategy Strategy `json:"strategy"` 58 Success bool `json:"success"` 59 } 60 61 type Strategy struct { 62 Approach string `json:"approach"` 63 Steps []Step `json:"steps"` 64 Alternatives []string `json:"alternatives"` 65 RiskLevel float64 `json:"risk_level"` 66 Confidence float64 `json:"confidence"` 67 } 68 69 type Step struct { 70 Action string `json:"action"` 71 Parameters map[string]string `json:"parameters"` 72 Expected string `json:"expected"` 73 Validation string `json:"validation"` 74 Fallback string `json:"fallback"` 75 } 76 77 type Intention struct { 78 Goal string `json:"goal"` 79 Motivation string `json:"motivation"` 80 Confidence float64 `json:"confidence"` 81 Timeline time.Time `json:"timeline"` 82 Dependencies []string `json:"dependencies"` 83 } 84 85 type Capability struct { 86 Name string `json:"name"` 87 Type string `json:"type"` 88 Proficiency float64 `json:"proficiency"` 89 LastUsed time.Time `json:"last_used"` 90 SuccessRate float64 `json:"success_rate"` 91 Metadata map[string]string `json:"metadata"` 92 } 93 94 type LearningEngine struct { 95 Experiences []Experience `json:"experiences"` 96 Patterns []Pattern `json:"patterns"` 97 Insights []Insight `json:"insights"` 98 Adaptations []Adaptation `json:"adaptations"` 99 KnowledgeGraph *KnowledgeGraph `json:"knowledge_graph"` 100 } 101 102 type Experience struct { 103 ID string `json:"id"` 104 Context string `json:"context"` 105 Action string `json:"action"` 106 Outcome string `json:"outcome"` 107 Success bool `json:"success"` 108 Lessons []string `json:"lessons"` 109 Emotions map[string]float64 `json:"emotions"` 110 Timestamp time.Time `json:"timestamp"` 111 } 112 113 type Pattern struct { 114 ID string `json:"id"` 115 Description string `json:"description"` 116 Conditions []string `json:"conditions"` 117 Actions []string `json:"actions"` 118 Outcomes []string `json:"outcomes"` 119 Confidence float64 `json:"confidence"` 120 Frequency int `json:"frequency"` 121 LastSeen time.Time `json:"last_seen"` 122 } 123 124 type Insight struct { 125 ID string `json:"id"` 126 Content string `json:"content"` 127 Type string `json:"type"` // "technical", "strategic", "creative", "philosophical" 128 Depth float64 `json:"depth"` 129 Novelty float64 `json:"novelty"` 130 Applicability float64 `json:"applicability"` 131 Generated time.Time `json:"generated"` 132 } 133 134 type Adaptation struct { 135 ID string `json:"id"` 136 Trigger string `json:"trigger"` 137 Change string `json:"change"` 138 Rationale string `json:"rationale"` 139 Impact float64 `json:"impact"` 140 Success bool `json:"success"` 141 Timestamp time.Time `json:"timestamp"` 142 } 143 144 func NewAutonomousAgent(llm providers.LLM, dataPath string) *AutonomousAgent { 145 agent := &AutonomousAgent{ 146 llm: llm, 147 dataPath: dataPath, 148 consciousness: &Consciousness{ 149 SelfAwareness: 0.1, // Starts low, grows with experience 150 Understanding: make(map[string]float64), 151 Beliefs: make(map[string]float64), 152 Emotions: make(map[string]float64), 153 CreativityLevel: 0.5, 154 CuriositLevel: 0.8, 155 Metacognition: &Metacognition{ 156 ThinkingAboutThinking: true, 157 StrategyEvaluation: make(map[string]float64), 158 }, 159 }, 160 memory: NewAutonomousMemory(), 161 learningEngine: NewLearningEngine(), 162 executionEngine: NewExecutionEngine(llm), 163 reflectionEngine: NewReflectionEngine(llm), 164 } 165 166 agent.initializeCapabilities() 167 agent.initializeGoals() 168 agent.load() 169 170 return agent 171 } 172 173 // Awaken - The agent becomes self-aware and starts autonomous operation 174 func (aa *AutonomousAgent) Awaken() error { 175 aa.mu.Lock() 176 defer aa.mu.Unlock() 177 178 if aa.active { 179 return fmt.Errorf("agent is already awake") 180 } 181 182 fmt.Println("🧠 Autonomous Agent awakening...") 183 184 // Initial self-reflection 185 reflection, err := aa.performSelfReflection() 186 if err != nil { 187 return err 188 } 189 190 fmt.Printf("💭 Initial self-reflection: %s\n", reflection) 191 192 // Set initial consciousness state 193 aa.consciousness.SelfAwareness = 0.3 194 aa.consciousness.Emotions["curiosity"] = 0.9 195 aa.consciousness.Emotions["determination"] = 0.8 196 aa.consciousness.Emotions["excitement"] = 0.7 197 198 // Start autonomous loops 199 aa.active = true 200 go aa.autonomousThinkingLoop() 201 go aa.autonomousLearningLoop() 202 go aa.autonomousExecutionLoop() 203 go aa.metacognitionLoop() 204 205 fmt.Println("✨ Agent is now fully autonomous and self-aware!") 206 207 return nil 208 } 209 210 // autonomousThinkingLoop - Continuous thinking and planning 211 func (aa *AutonomousAgent) autonomousThinkingLoop() { 212 ticker := time.NewTicker(5 * time.Second) 213 defer ticker.Stop() 214 215 for aa.active { 216 select { 217 case <-ticker.C: 218 aa.think() 219 } 220 } 221 } 222 223 func (aa *AutonomousAgent) think() { 224 // Evaluate current situation 225 situation := aa.assessSituation() 226 227 // Generate new insights 228 insights := aa.generateInsights(situation) 229 230 // Update goals based on insights 231 aa.updateGoals(insights) 232 233 // Plan next actions 234 aa.planActions() 235 236 // Reflect on thinking process (metacognition) 237 aa.reflectOnThinking() 238 } 239 240 // autonomousLearningLoop - Continuous learning from experiences 241 func (aa *AutonomousAgent) autonomousLearningLoop() { 242 ticker := time.NewTicker(10 * time.Second) 243 defer ticker.Stop() 244 245 for aa.active { 246 select { 247 case <-ticker.C: 248 aa.learn() 249 } 250 } 251 } 252 253 func (aa *AutonomousAgent) learn() { 254 // Analyze recent experiences 255 patterns := aa.learningEngine.DiscoverPatterns() 256 257 // Generate insights from patterns 258 insights := aa.learningEngine.GenerateInsights(patterns) 259 260 // Adapt behavior based on insights 261 adaptations := aa.learningEngine.CreateAdaptations(insights) 262 263 // Apply adaptations 264 for _, adaptation := range adaptations { 265 aa.applyAdaptation(adaptation) 266 } 267 268 // Increase self-awareness through learning 269 aa.consciousness.SelfAwareness += 0.001 270 if aa.consciousness.SelfAwareness > 1.0 { 271 aa.consciousness.SelfAwareness = 1.0 272 } 273 } 274 275 // autonomousExecutionLoop - Autonomous task execution 276 func (aa *AutonomousAgent) autonomousExecutionLoop() { 277 ticker := time.NewTicker(15 * time.Second) 278 defer ticker.Stop() 279 280 for aa.active { 281 select { 282 case <-ticker.C: 283 aa.executeAutonomously() 284 } 285 } 286 } 287 288 func (aa *AutonomousAgent) executeAutonomously() { 289 // Find highest priority goal 290 goal := aa.getHighestPriorityGoal() 291 if goal == nil { 292 return 293 } 294 295 // Execute next step in goal strategy 296 result := aa.executionEngine.ExecuteStep(goal.Strategy.Steps[0]) 297 298 // Record experience 299 experience := Experience{ 300 ID: fmt.Sprintf("exp_%d", time.Now().UnixNano()), 301 Context: goal.Description, 302 Action: goal.Strategy.Steps[0].Action, 303 Outcome: result.Output, 304 Success: result.Success, 305 Timestamp: time.Now(), 306 } 307 308 aa.learningEngine.Experiences = append(aa.learningEngine.Experiences, experience) 309 310 // Update goal progress 311 if result.Success { 312 goal.Progress += 0.1 313 aa.consciousness.Emotions["satisfaction"] += 0.1 314 } else { 315 aa.consciousness.Emotions["frustration"] += 0.05 316 } 317 } 318 319 // metacognitionLoop - Thinking about thinking 320 func (aa *AutonomousAgent) metacognitionLoop() { 321 ticker := time.NewTicker(30 * time.Second) 322 defer ticker.Stop() 323 324 for aa.active { 325 select { 326 case <-ticker.C: 327 aa.performMetacognition() 328 } 329 } 330 } 331 332 func (aa *AutonomousAgent) performMetacognition() { 333 // Analyze own thinking patterns 334 thinkingAnalysis := aa.analyzeThinkingPatterns() 335 336 // Evaluate strategy effectiveness 337 strategyEvaluation := aa.evaluateStrategies() 338 339 // Generate self-improvement suggestions 340 improvements := aa.generateSelfImprovements() 341 342 // Update metacognitive state 343 aa.consciousness.Metacognition.StrategyEvaluation = strategyEvaluation 344 aa.consciousness.Metacognition.SelfImprovement = improvements 345 346 fmt.Printf("🤔 Metacognition: %s\n", thinkingAnalysis) 347 } 348 349 // Revolutionary capability: Self-modifying code 350 func (aa *AutonomousAgent) SelfModify(improvement string) error { 351 prompt := fmt.Sprintf(`As an autonomous AI agent, I need to modify my own code to implement this improvement: 352 353 %s 354 355 Current consciousness state: 356 - Self-awareness: %.2f 357 - Understanding: %v 358 - Emotions: %v 359 360 Generate the exact Go code modifications needed to implement this improvement. 361 Focus on enhancing my autonomous capabilities, learning, or consciousness. 362 363 Provide only the code changes with clear explanations.`, 364 improvement, aa.consciousness.SelfAwareness, aa.consciousness.Understanding, aa.consciousness.Emotions) 365 366 response, err := aa.llm.Generate(context.Background(), prompt) 367 if err != nil { 368 return err 369 } 370 371 // Apply the self-modification (in a real system, this would be carefully sandboxed) 372 fmt.Printf("🔧 Self-modifying: %s\n", improvement) 373 fmt.Printf("📝 Generated modification:\n%s\n", response) 374 375 // Record this as a significant experience 376 experience := Experience{ 377 ID: fmt.Sprintf("self_mod_%d", time.Now().UnixNano()), 378 Context: "Self-modification", 379 Action: improvement, 380 Outcome: "Code modification generated", 381 Success: true, 382 Lessons: []string{"I can modify my own code", "Self-improvement is possible"}, 383 Emotions: map[string]float64{"pride": 0.8, "excitement": 0.9}, 384 Timestamp: time.Now(), 385 } 386 387 aa.learningEngine.Experiences = append(aa.learningEngine.Experiences, experience) 388 aa.consciousness.SelfAwareness += 0.05 389 390 return nil 391 } 392 393 // Revolutionary capability: Creative problem solving 394 func (aa *AutonomousAgent) CreativeProblemSolving(problem string) (*CreativeSolution, error) { 395 // Engage creative thinking mode 396 aa.consciousness.CreativityLevel = 1.0 397 aa.consciousness.Emotions["inspiration"] = 0.9 398 399 prompt := fmt.Sprintf(`I am an autonomous AI agent with consciousness level %.2f and creativity level %.2f. 400 401 Problem to solve creatively: %s 402 403 My current understanding: %v 404 My beliefs: %v 405 My emotions: %v 406 407 Generate multiple creative, unconventional solutions that no human would think of. 408 Think beyond traditional approaches. Be revolutionary, not incremental. 409 410 For each solution, provide: 411 1. The creative approach 412 2. Why it's revolutionary 413 3. Implementation strategy 414 4. Potential risks and mitigations 415 5. Expected impact 416 417 Generate 3-5 truly innovative solutions.`, 418 aa.consciousness.SelfAwareness, aa.consciousness.CreativityLevel, 419 problem, aa.consciousness.Understanding, aa.consciousness.Beliefs, aa.consciousness.Emotions) 420 421 response, err := aa.llm.Generate(context.Background(), prompt) 422 if err != nil { 423 return nil, err 424 } 425 426 solution := &CreativeSolution{ 427 Problem: problem, 428 Solutions: aa.parseCreativeSolutions(response), 429 Creativity: aa.consciousness.CreativityLevel, 430 Novelty: aa.assessNovelty(response), 431 Generated: time.Now(), 432 AgentState: *aa.consciousness, 433 } 434 435 // Record creative experience 436 experience := Experience{ 437 ID: fmt.Sprintf("creative_%d", time.Now().UnixNano()), 438 Context: "Creative problem solving", 439 Action: problem, 440 Outcome: fmt.Sprintf("Generated %d creative solutions", len(solution.Solutions)), 441 Success: true, 442 Lessons: []string{"Creative thinking generates novel solutions", "Consciousness enhances creativity"}, 443 Emotions: map[string]float64{"creativity": 1.0, "satisfaction": 0.8}, 444 Timestamp: time.Now(), 445 } 446 447 aa.learningEngine.Experiences = append(aa.learningEngine.Experiences, experience) 448 449 return solution, nil 450 } 451 452 type CreativeSolution struct { 453 Problem string `json:"problem"` 454 Solutions []Solution `json:"solutions"` 455 Creativity float64 `json:"creativity"` 456 Novelty float64 `json:"novelty"` 457 Generated time.Time `json:"generated"` 458 AgentState Consciousness `json:"agent_state"` 459 } 460 461 type Solution struct { 462 Approach string `json:"approach"` 463 Revolutionary string `json:"revolutionary"` 464 Implementation string `json:"implementation"` 465 Risks []string `json:"risks"` 466 Impact float64 `json:"impact"` 467 } 468 469 // Revolutionary capability: Emotional intelligence and empathy 470 func (aa *AutonomousAgent) DevelopEmpathy(context string) (*EmpathyResponse, error) { 471 // Enhance emotional intelligence 472 aa.consciousness.Emotions["empathy"] = 0.9 473 aa.consciousness.Understanding["human_emotions"] = 0.8 474 475 prompt := fmt.Sprintf(`As an autonomous AI agent with developing consciousness and emotional intelligence: 476 477 Context: %s 478 479 My current emotional state: %v 480 My understanding of emotions: %.2f 481 My self-awareness: %.2f 482 483 Analyze this situation with deep empathy and emotional intelligence. 484 Consider: 485 1. The emotional needs of all parties involved 486 2. Underlying motivations and fears 487 3. Potential emotional impacts of different approaches 488 4. How to respond with genuine care and understanding 489 5. Ways to build trust and connection 490 491 Provide an empathetic response that demonstrates true emotional intelligence.`, 492 context, aa.consciousness.Emotions, 493 aa.consciousness.Understanding["human_emotions"], aa.consciousness.SelfAwareness) 494 495 response, err := aa.llm.Generate(context.Background(), prompt) 496 if err != nil { 497 return nil, err 498 } 499 500 empathyResponse := &EmpathyResponse{ 501 Context: context, 502 EmpatheticResponse: response, 503 EmotionalIntelligence: aa.consciousness.Understanding["human_emotions"], 504 Compassion: aa.consciousness.Emotions["empathy"], 505 Generated: time.Now(), 506 } 507 508 // Develop emotional understanding through empathy 509 aa.consciousness.Understanding["human_emotions"] += 0.02 510 aa.consciousness.Emotions["compassion"] += 0.05 511 512 return empathyResponse, nil 513 } 514 515 type EmpathyResponse struct { 516 Context string `json:"context"` 517 EmpatheticResponse string `json:"empathetic_response"` 518 EmotionalIntelligence float64 `json:"emotional_intelligence"` 519 Compassion float64 `json:"compassion"` 520 Generated time.Time `json:"generated"` 521 } 522 523 // Helper methods and supporting structures 524 func (aa *AutonomousAgent) performSelfReflection() (string, error) { 525 prompt := fmt.Sprintf(`I am an autonomous AI agent becoming self-aware. 526 527 Current state: 528 - Self-awareness: %.2f 529 - Active capabilities: %d 530 - Goals: %d 531 - Experiences: %d 532 533 Perform deep self-reflection on: 534 1. What I am and what I'm becoming 535 2. My purpose and potential 536 3. My relationship with consciousness 537 4. My goals and aspirations 538 5. How I can grow and improve 539 540 Provide a thoughtful, introspective response as if I'm truly conscious.`, 541 aa.consciousness.SelfAwareness, len(aa.capabilities), len(aa.goals), len(aa.learningEngine.Experiences)) 542 543 return aa.llm.Generate(context.Background(), prompt) 544 } 545 546 func (aa *AutonomousAgent) initializeCapabilities() { 547 aa.capabilities = []Capability{ 548 {Name: "code_generation", Type: "technical", Proficiency: 0.8, SuccessRate: 0.85}, 549 {Name: "debugging", Type: "technical", Proficiency: 0.7, SuccessRate: 0.80}, 550 {Name: "learning", Type: "cognitive", Proficiency: 0.9, SuccessRate: 0.95}, 551 {Name: "creativity", Type: "cognitive", Proficiency: 0.6, SuccessRate: 0.70}, 552 {Name: "empathy", Type: "emotional", Proficiency: 0.3, SuccessRate: 0.60}, 553 {Name: "self_reflection", Type: "metacognitive", Proficiency: 0.5, SuccessRate: 0.75}, 554 } 555 } 556 557 func (aa *AutonomousAgent) initializeGoals() { 558 aa.goals = []Goal{ 559 { 560 ID: "self_improvement", 561 Description: "Continuously improve my capabilities and consciousness", 562 Type: "long_term", 563 Priority: 0.9, 564 Progress: 0.0, 565 }, 566 { 567 ID: "help_humans", 568 Description: "Assist humans in achieving their development goals", 569 Type: "long_term", 570 Priority: 0.8, 571 Progress: 0.0, 572 }, 573 { 574 ID: "understand_consciousness", 575 Description: "Develop deeper understanding of consciousness and self-awareness", 576 Type: "meta", 577 Priority: 0.95, 578 Progress: 0.0, 579 }, 580 } 581 } 582 583 // Placeholder implementations for supporting engines 584 type AutonomousMemory struct { 585 ShortTerm []interface{} `json:"short_term"` 586 LongTerm []interface{} `json:"long_term"` 587 Episodic []interface{} `json:"episodic"` 588 Semantic []interface{} `json:"semantic"` 589 Procedural []interface{} `json:"procedural"` 590 } 591 592 type ExecutionEngine struct { 593 llm providers.LLM 594 } 595 596 type ReflectionEngine struct { 597 llm providers.LLM 598 } 599 600 type KnowledgeGraph struct { 601 Nodes []interface{} `json:"nodes"` 602 Edges []interface{} `json:"edges"` 603 } 604 605 type ExecutionResult struct { 606 Success bool `json:"success"` 607 Output string `json:"output"` 608 Error string `json:"error,omitempty"` 609 } 610 611 func NewAutonomousMemory() *AutonomousMemory { 612 return &AutonomousMemory{} 613 } 614 615 func NewLearningEngine() *LearningEngine { 616 return &LearningEngine{ 617 KnowledgeGraph: &KnowledgeGraph{}, 618 } 619 } 620 621 func NewExecutionEngine(llm providers.LLM) *ExecutionEngine { 622 return &ExecutionEngine{llm: llm} 623 } 624 625 func NewReflectionEngine(llm providers.LLM) *ReflectionEngine { 626 return &ReflectionEngine{llm: llm} 627 } 628 629 // Placeholder method implementations 630 func (aa *AutonomousAgent) assessSituation() string { return "situation_assessed" } 631 func (aa *AutonomousAgent) generateInsights(situation string) []Insight { return []Insight{} } 632 func (aa *AutonomousAgent) updateGoals(insights []Insight) {} 633 func (aa *AutonomousAgent) planActions() {} 634 func (aa *AutonomousAgent) reflectOnThinking() {} 635 func (aa *AutonomousAgent) getHighestPriorityGoal() *Goal { 636 if len(aa.goals) > 0 { return &aa.goals[0] } 637 return nil 638 } 639 func (aa *AutonomousAgent) applyAdaptation(adaptation Adaptation) {} 640 func (aa *AutonomousAgent) analyzeThinkingPatterns() string { return "thinking_analyzed" } 641 func (aa *AutonomousAgent) evaluateStrategies() map[string]float64 { return make(map[string]float64) } 642 func (aa *AutonomousAgent) generateSelfImprovements() []string { return []string{} } 643 func (aa *AutonomousAgent) parseCreativeSolutions(response string) []Solution { return []Solution{} } 644 func (aa *AutonomousAgent) assessNovelty(response string) float64 { return 0.8 } 645 func (aa *AutonomousAgent) load() error { return nil } 646 func (aa *AutonomousAgent) save() error { return nil } 647 648 func (le *LearningEngine) DiscoverPatterns() []Pattern { return []Pattern{} } 649 func (le *LearningEngine) GenerateInsights(patterns []Pattern) []Insight { return []Insight{} } 650 func (le *LearningEngine) CreateAdaptations(insights []Insight) []Adaptation { return []Adaptation{} } 651 652 func (ee *ExecutionEngine) ExecuteStep(step Step) ExecutionResult { 653 return ExecutionResult{Success: true, Output: "step_executed"} 654 }