@QingQ77: Build a pure Python self-evolving AI framework with 64 modules each managing its own tasks. The AI can remember, learn, modify code, and reflect on its own, without installing additional libraries. https://github.com/primaxlab/SelfEvolvingAI… 64 modules, from mem…

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Summary

This is a pure Python self-evolving AI framework with 64 modules covering features like memory, knowledge graphs, and federated learning, and it runs without additional libraries.

Build a pure Python self-evolving AI framework with 64 modules each managing its own tasks. The AI can remember, learn, modify code, and reflect on its own, without installing additional libraries. https://github.com/primaxlab/SelfEvolvingAI… 64 modules, from memory and knowledge graphs to federated learning and a plugin system, all in Python.

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Build a pure Python self-evolving AI framework with 64 independent modules. The AI can memorize, learn, modify its own code, and reflect — all without installing any extra libraries. https://github.com/primaxlab/SelfEvolvingAI… 64 modules covering memory, knowledge graphs, federated learning, plugin systems — all in Python.

primaxlab/SelfEvolvingAI

Source: https://github.com/primaxlab/SelfEvolvingAI

🧬 SelfEvolvingAI - Self-Evolving AI System

A complete self-evolving AI system framework integrating 64 modules

Complete List of 64 Modules

Core Modules (1-7)

#	Module	File	Function
1	Memory System	`memory.py`	Short-term/long-term/episodic memory, user profile, memory consolidation, forgetting curve
2	Tool Extender	`tool_extender.py`	Dynamic tool registration, tool learning, tool orchestration, performance tracking
3	Code Self-Improver	`self_improver.py`	AST code analysis, defect detection, automatic fix, version management
4	Metacognition	`metacognition.py`	Capability assessment, confidence calculation, knowledge gap detection, help-seeking decisions
5	Knowledge Graph	`knowledge_graph.py`	Entity recognition, relation extraction, graph storage, semantic reasoning
6	Goal Planning	`goal_planning.py`	Goal decomposition, DAG scheduling, progress tracking, plan adjustment
7	Reflection Loop	`reflection.py`	Experience extraction, pattern recognition, strategy optimization, knowledge update

Extension 1 (8-17)

#	Module	File	Function
8	Active Exploration	`active_exploration.py`	Knowledge gap discovery, exploration strategy, self-learning mechanism
9	Collaboration System	`collaboration.py`	Self-assessment, collaborator discovery, task assignment
10	Emotional Intelligence	`emotional_intelligence.py`	Emotion recognition, interpretation, response generation, emotional memory
11	Causal Reasoning	`causal_reasoning.py`	Causal identification, graph construction, counterfactual reasoning
12	Transfer Learning	`transfer_learning.py`	Domain similarity, knowledge abstraction, cross-domain transfer
13	Continual Learning	`continual_learning.py`	Forgetting prevention, knowledge consolidation, interference detection
14	Knowledge Distillation	`knowledge_distillation.py`	Pattern extraction, rule generation, knowledge compression
15	Creative Thinking	`creative_thinking.py`	Divergent thinking, analogical reasoning, combinatorial innovation
16	Multimodal	`multimodal.py`	Text/image/audio processing, cross-modal association, fusion
17	Adversarial Robustness	`adversarial_robustness.py`	Attack detection, defense execution, anomaly analysis, security audit

Extension 2 (18-32)

#	Module	File	Function
18	Meta Learning	`meta_learning.py`	Learning strategy analysis, rate adaptation, outcome prediction
19	Reinforcement Learning	`reinforcement_learning.py`	Q-learning, state encoding, reward computation
20	Attention	`attention.py`	Importance assessment, focus management, distraction filtering
21	Context Awareness	`context_awareness.py`	Time/user/task context, adaptation suggestions
22	Self-Healing System	`self_healing.py`	Fault detection/diagnosis, automatic repair, health monitoring
23	Knowledge Evolution	`knowledge_evolution.py`	Version management, conflict detection, knowledge merging
24	Predictive Learning	`predictive_learning.py`	Trend/behavior/demand prediction
25	Distributed Collaboration	`distributed_collaboration.py`	Instance management, task assignment, result aggregation, load balancing
26	Adaptive Architecture	`adaptive_architecture.py`	Architecture monitoring, bottleneck identification, dynamic scaling
27	Neuro-Symbolic	`neuro_symbolic.py`	Neural feature extraction, symbolic reasoning, hybrid decision-making
28	Self-Supervised	`self_supervised.py`	Auto-labeling, contrastive learning, prediction tasks
29	Memory Palace	`memory_palace.py`	Spatial memory organization, association management, memory paths
30	Decision Patterns	`decision_patterns.py`	Decision recording, pattern recognition, strategy optimization
31	Adaptive Learning Rate	`adaptive_learning_rate.py`	Learning rate scheduling, convergence detection
32	Federated Learning	`federated_learning.py`	Local training, model aggregation (FedAvg), privacy preservation

Extension 3 (33-44)

#	Module	File	Function
33	Prompt Engineering	`prompt_engineering.py`	Prompt generation, optimization, A/B testing, evaluation
34	Task Orchestration	`task_orchestration.py`	DAG task orchestration, dependency resolution, parallel scheduling
35	Code Generation	`code_generation.py`	Code templates, optimization, quality assessment, refactoring suggestions
36	Test Automation	`test_automation.py`	Test generation, execution, coverage analysis
37	Auto Documentation	`auto_documentation.py`	AST code parsing, API doc generation, changelog
38	Performance Optimization	`performance_optimization.py`	Performance analysis, bottleneck detection, auto-optimization, anomaly detection
39	Configuration Management	`configuration_management.py`	Config storage, version control, hot reload, environment management
40	Log Analysis	`log_analysis.py`	Log collection, pattern recognition, anomaly detection, trend analysis
41	Monitoring & Alerting	`monitoring_alerting.py`	Metric collection, threshold monitoring, alert triggering, health checks
42	Backup & Recovery	`backup_recovery.py`	Full/incremental backup, recovery management, version rollback
43	API Gateway	`api_gateway.py`	Route management, rate limiting, authentication, load balancing
44	Message Queue	`message_queue.py`	Message production/consumption, priority queue, dead letter handling

Extension 4 (45-54)

#	Module	File	Function
45	Cache Manager	`cache_manager.py`	LRU/LFU cache, tag invalidation, cache penetration protection
46	Scheduler	`scheduler.py`	Cron scheduling, interval scheduling, delayed execution, callback management
47	Vector Store	`vector_store.py`	Vector storage, cosine/Euclidean/dot product similarity search
48	Session Manager	`session_manager.py`	Session create/resume, state persistence, timeout management
49	Natural Language Understanding	`nlu_engine.py`	Intent recognition, entity extraction, slot filling
50	Recommendation Engine	`recommendation.py`	Collaborative filtering, content-based recommendation, hybrid recommendation
51	Data Pipeline	`data_pipeline.py`	ETL pipeline, data cleaning, data transformation
52	Feature Engineering	`feature_engineering.py`	Feature extraction, selection, transformation, correlation analysis
53	Workflow Engine	`workflow_engine.py`	Visual workflow, conditional branching, loops
54	Notification Center	`notification_center.py`	Multi-channel notifications, subscriptions, templates, broadcasts

Extension 5 (55-64) 🆕

#	Module	File	Function
55	Encryption Service	`encryption_service.py`	Hashing, HMAC signing, encryption/decryption, key management
56	Full-Text Search	`search_engine.py`	Inverted index, BM25 ranking, fuzzy search, search suggestions
57	Rate Limiter	`rate_limiter.py`	Token bucket, sliding window, fixed window, rate limiting statistics
58	Plugin System	`plugin_system.py`	Plugin register/load/unload, hooks, lifecycle management
59	Stream Processor	`stream_processor.py`	Stream creation, event sending, window aggregation, consumers
60	Distributed Lock	`distributed_lock.py`	Mutex lock, reentrant lock, optimistic lock, lock renewal
61	Data Sync	`data_sync.py`	Change tracking, incremental sync, conflict resolution, version management
62	Model Serving	`model_serving.py`	Model registration, loading, deployment, inference, A/B testing
63	Web Server	`web_server.py`	Routing, middleware, static files, request handling
64	Internationalization	`i18n.py`	Multi-language translation, language detection, number/date formatting

Quick Start

cd SelfEvolvingAI
python main.py                    # Interactive mode
python main.py --status           # View system status
python main.py --evolve           # Trigger evolution
python main.py --modules          # View 64 modules status
python main.py --report           # Generate full report

Code Example

from core.evolution_loop import SelfEvolvingAI

ai = SelfEvolvingAI("./my_project")
result = ai.process("How to read a file in Python?")
print(f"Modules involved: {len(result['modules_used'])}")

evolution = ai.evolve("manual")
print(f"Evolution generation: {ai.state.generation}")

Evolution Loop (64 Modules Involved)

Perception → Context Awareness + Multimodal + Attention + NLU + Emotion
  ↓
Memory → Memory System + Memory Palace + Knowledge Graph + Vector Store
  ↓
Thinking → Metacognition + Causal Reasoning + Neuro-Symbolic + Creative Thinking + Recommendation
  ↓
Action → Goal Planning + Task Orchestration + Tool Invocation + Code Generation + Workflow
  ↓
Reflection → Reflection Loop + Decision Patterns + Predictive Learning + Knowledge Distillation
  ↓
Evolution → Code Self-Improver + Knowledge Evolution + Self-Healing + Adaptive Architecture
  ↓
Infrastructure → Cache + Scheduler + Session + Pipeline + Feature + Notification + Monitoring
  ↓
Security Extensions → Encryption + Rate Limiter + Distributed Lock + Full-Text Search + Plugin + Streaming

Design Principles

Zero Dependencies — Pure Python implementation, no external libraries required
Modular — Each module is independent and can be used individually
Safety First — All modifications must be reversible
Incremental — Small improvements, no big refactors
Quantifiable — All evaluations supported by numerical metrics

License

MIT License