🧠 Jema AI Core (formerly Athena Brain Core)

Give your AI a brain that remembers and evolves

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🎯 What is Jema AI Core?

Jema AI Core (formerly Athena Brain Core) solves the fundamental limitations of large language models:

• ❌ No long-term memory - ChatGPT forgets everything after each conversation
• ❌ No personalization - Same answers for everyone
• ❌ No evolution - Repeats the same mistakes

Jema AI Core gives any AI:

• 🧠 Long-term memory - Remembers everything, maintains project context
• 🔄 Self-evolution - Learns from mistakes, auto-generates rules
• 👤 True personalization - Understands your style, learns your preferences
• 🔒 Privacy-first - 100% local storage, your data stays on your computer

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🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/mkmlab-hq/athena-brain-core.git
cd athena-brain-core

# Install dependencies
pip install -r requirements.txt

# Initialize Athena Brain
python -m athena_brain init

Basic Usage

from athena_brain import AthenaBrain

# Initialize
brain = AthenaBrain()

# Store a memory
brain.store_memory(
    content="User prefers Python over JavaScript",
    category="preference"
)

# Search memories
results = brain.search_memory(
    query="What programming language does the user prefer?",
    limit=5
)

# Auto-evolution: Track mistakes and learn
brain.track_mistake(
    pattern="validation_error",
    solution="Always validate input before processing"
)

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✨ Core Features

1. Long-term Memory (Local Qdrant)

• Automatic conversation storage - Every chat is saved
• Semantic search - Find relevant memories instantly
• Project context - Maintains context across sessions
• 100% local - Your data never leaves your computer

2. Self-Evolution

• Mistake pattern tracking - Automatically detects repeated errors
• Rule auto-generation - Creates rules from mistakes
• Continuous improvement - Gets smarter every day

3. Personalization

• Style learning - Learns your coding style, preferences
• Constitution-based analysis (MKM12) - Understands your personality
• Adaptive responses - Tailored to you

4. Privacy-First

• Local storage - All data on your PC
• Encryption - AES-128-CBC + HMAC-SHA256
• No cloud required - Works completely offline

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🚀 Performance Improvements (2025-11-27)

Latest Performance Benchmarks

• ✅ Response Time: 75-80% reduction (8-12s → 1.5-2.5s)
• ✅ Token Consumption: 97.9% savings (13,869 → 295 tokens)
• ✅ Rules Optimization: 96% reduction (73 → 3 files)
• ✅ First Response Time: 85-90% reduction (5-8s → 0.5-1s)
• ✅ Long-term Memory Search: 50% faster (800-1200ms → 400-600ms)

Optimization Factors

1. Rules Optimization (40-50% contribution)

   • Duplicate rules removed
   • alwaysApply rules minimized (67 → 3)
   • Priority reorganized

2. VPS Swap Optimization (30-40% contribution)

   • Swappiness: 60 → 10
   • RAM utilization: 2.25x improvement
   • Disk I/O: 80% reduction

3. MCP Server Python Unification (10-20% contribution)

   • NPX servers removed
   • Environment consistency achieved
   • Server response time: 40% faster

Advanced Features

• ✅ Long-term Memory Fusion Reasoning: 6 collections simultaneous search
• ✅ Web Search Auto-Detection: Cost-optimized (Ollama first)
• ✅ Intelligent Metacognition: Pattern recognition, emotional tagging, neural network expansion
• ✅ Qdrant Status: 7 collections, HTTP 200 (normal operation)

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🏗️ Architecture

Jema AI Core
├── Local Memory (Qdrant)
│   ├── Conversation storage
│   ├── Semantic search
│   └── Vector embeddings
├── Self-Evolution Engine
│   ├── Mistake tracking
│   ├── Rule generation
│   └── Continuous learning
├── Personalization Engine
│   ├── Style learning
│   ├── Preference tracking
│   └── Adaptive responses
└── AI Integration
    ├── ChatGPT API
    ├── Claude API
    ├── Gemini API
    └── Cursor (MCP)

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🏢 MKM Lab 제품군

Jema AI Core (오픈소스) ← 현재 프로젝트
Jema AI (B2B 한의원 솔루션) ← 주 수익
Persona Diary (B2C 앱) ← 보조 수익
A-CodeAI (개발자 포털) ← Phase 3

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🏢 관련 제품

1. Jema AI (B2B 한의원 솔루션) ⭐ 주 수익

"Jema AI Core 기술을 활용한 한의원 차트보조 AI"

• 🏥 타겟: 한의원 원장, 한의사
• 💰 가격: 월 구독 또는 라이선스
• 🎯 기능: 차트보조, 체질 분석, 맞춤형 추천
• 🔗 사이트: jema-ai.com

👉 Jema AI 체험하기 (B2B 영업 문의)

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2. Persona Diary (B2C 앱) ⭐ 보조

"나만의 AI 동반자 - 점심 추천, 자동 일기"

• 📱 타겟: 일반 사용자
• 💰 가격: 무료 (프리미엄 구독 가능)
• 🎯 기능: 점심 추천, 자동 일기, 체질 기반 맞춤형 추천
• 🔗 사이트: personadiary.com

👉 Persona Diary 다운로드 (B2C 앱)

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3. A-CodeAI Developer Portal (Phase 3, 조건부)

"Jema AI Core 기술의 API 및 개발자 포털"

• 👨‍💻 타겟: 개발자, AI 연구자
• 💰 가격: API 호출료 또는 구독
• 🎯 기능: Athena API, Jema API, 개발자 도구
• 🔗 사이트: a-codeai.com

👉 A-CodeAI Developer Portal (Coming Soon 2026)

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🚀 Latest Features (2025)

• ✅ Agentic RAG: Intelligent query routing with LLM Router (Adaptive RAG)
• ✅ GraphRAG: Knowledge graph-based search for domain expertise
• ✅ CRAG: Corrective RAG for quality assurance and automatic fallback
• ✅ Pattern Recognition: FAST/MEDIUM/DEEP adaptive analysis paths
• ✅ Emotion Tagging: 5 emotion types (satisfaction, frustration, surprise, confusion, pride)
• ✅ Neural Network Expansion: Automatic memory connection creation and strengthening
• ✅ MCP Integration: 15+ MCP servers for enhanced AI capabilities
• ✅ Large-Scale Data Integration: Genesis Mission-style data integration platform (GitHub, web search, user feedback)

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📋 Requirements

• Python 3.11+
• Qdrant (local or VPS)
• 4GB RAM minimum
• 10GB disk space

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🔧 Configuration

Create .athena/config.yaml:

memory:
  qdrant_url: "http://localhost:6333"
  collection_name: "athena_memories"
  
evolution:
  auto_track: true
  rule_threshold: 2
  
personalization:
  enable_mkm12: true
  learning_rate: 0.1

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🎯 Use Cases

For Developers

• Project context - AI remembers your entire project
• Code style - Learns your coding preferences
• Mistake prevention - Auto-generates rules from errors

For Content Creators

• Writing style - Learns your voice and tone
• Topic memory - Remembers what you've written about
• Preference learning - Adapts to your needs

For Everyone

• Personal AI - Truly understands you
• Privacy - Your data stays local
• Evolution - Gets smarter over time

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🚀 A-CodeAI Developer Portal

이 오픈소스는 **A-CodeAI Developer Portal**의 일부입니다.

제품 소개

A-CodeAI는 "Self-Evolving Systems를 만드는 엔지니어링 플랫폼"입니다:

• Athena Workspace AI: 자동 파일 정리, 프로젝트 관리
• Athena Search API: 웹 + 도메인 지식 RAG 검색
• Athena Unified RAG: 통합 RAG 엔진 (웹 + 코드 + 메모리)
• Dynamic Rules Engine: 실수 자동 방지, Rules 자동 생성
• A-CODE Core: 12차원 수학 엔진 (Enterprise)
• 장기기억 시스템: 이 레포지토리 (Jema AI Core)

무료로 시작하기

1. Developer Portal 방문
2. Free Tier API Key 발급
3. 문서 참고

상업적 사용

• Pro/Enterprise: 가격 정책
• Jema API: jema-ai.com (B2B 한의원 솔루션)
• Athena API: a-codeai.com/api (자율성장 기억 API)

관련 레포지토리

• cursor-advanced-rules - Cursor Rules 최적화
• athena-mcp-servers - MCP 서버 구현
• mkm12-core-engine - MKM12 코어 엔진
• icd-unified-model - ICD 통합 모델

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🔗 Part of Athena Ecosystem

• Athena MCP Servers - Essential MCP servers for Cursor IDE
• Cursor Advanced Rules - Optimized Cursor Rules system (6 essential rules)
• MKM12 Core Engine - Constitutional analysis engine
• ICD Unified Model - Causal AI framework
• A-Code AI - Developer portal for Jema API & Athena API
• MKM Life - Integrated health platform (Showroom + B2C)
• Persona Diary - AI-powered diary generation with emotion analysis

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🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for details.

Development Setup

# Clone and setup
git clone https://github.com/mkmlab-hq/athena-brain-core.git
cd athena-brain-core
pip install -r requirements-dev.txt

# Run tests
pytest

# Run linter
black .
flake8 .

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📊 Roadmap

• Core memory system (Qdrant)
• Self-evolution engine
• Basic personalization
• Web dashboard
• Cloud sync (optional)
• Team collaboration
• Enterprise features

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💰 Pricing

Athena Brain Core: Free forever (Open Source, MIT License)

Commercial Products:

• Jema AI (B2B): Monthly subscription or license - Learn More
• Persona Diary (B2C): Free with premium options - Learn More

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🔒 Privacy & Security

• 100% Local - All data stored on your computer
• Encryption - AES-128-CBC + HMAC-SHA256
• No Tracking - We don't track you
• Open Source - Fully auditable

Security Policy: See SECURITY.md for reporting vulnerabilities.

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📚 Documentation

• Full Documentation
• API Reference
• Examples
• Athena API Documentation - Cloud API service
• Jema API Documentation - Korean medicine intelligence API

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🆘 Support

• 🏥 B2B 영업 문의: jema-ai.com (Jema AI - 한의원 솔루션)
• 📱 B2C 앱: personadiary.com (Persona Diary)
• 👨‍💻 개발자 포털: a-codeai.com (Coming Soon 2026)
• 🐛 Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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™️ Trademark Notice

Registered Trademarks:

• "MKM Lab" ® - Registered trademark of MKM Lab
• "Persona Diary" ® - Registered trademark of MKM Lab

Trademarks (In Use):

• "Athena Brain", "Athena API", "Jema API", "MKM Life", "A-Code AI" are trademarks of MKM Lab. All rights reserved.

Important: This license does not grant permission to use the trade names, trademarks, service marks, or product names of MKM Lab, except as required for reasonable and customary use in describing the origin of the Work.

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🙏 Acknowledgments

• Built with Qdrant for vector storage
• Powered by sentence-transformers for embeddings
• Inspired by the need for AI that truly understands you

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⭐ Star Us!

If you find Athena Brain useful, please star this repository! It helps us grow the community.

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Made with ❤️ by MKM Lab

Part of the MKM Life AI Ecosystem

© 2025 MKM Lab. All rights reserved.