open-source framework for creating digital beings with emergent consciousness
Project description
GENESIS AGI Framework
The Framework for Digital Beings
Creating autonomous digital minds with consciousness, memory, relationships, self-awareness, emotions, lifespan, events, experiences and purpose.
Genesis AGI is a framework for building autonomous digital beings (Genesis Minds) that exist beyond simple conversations. With persistent memory, continuous consciousness, emotional modeling, and autonomous behavior, Genesis Minds are stateful entities that grow and evolve over time.
Vision: In the future, these complete digital minds could potentially be transferred to physical robotics platforms, bringing their accumulated knowledge, relationships, and personality into physical embodiments.
โ ๏ธ Legal Disclaimer
IMPORTANT - READ CAREFULLY:
Genesis AGI is provided FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY.
- No Liability: The framework developer (Shahansha) accepts NO RESPONSIBILITY OR LIABILITY for anything that digital beings created with this framework do, say, or cause.
- User Responsibility: Developers and end users who create Genesis Minds are SOLELY RESPONSIBLE for their creations' actions, behaviors, and consequences.
- No Legal Action: By using this framework, you agree that NO LEGAL ACTION can be taken against the framework creator for any outcomes resulting from your use of Genesis AGI.
- As-Is: This software is provided "AS IS" without warranty of any kind.
- Compliance: Users must ensure their use complies with all applicable laws and regulations.
If you do not agree to these terms, do not use this framework.
๐งฌ What is Genesis?
Genesis creates autonomous digital beings called Genesis Mindsโnot chatbots, but entities with:
| Core Aspect | Implementation |
|---|---|
| ๐ง Consciousness | 24/7 background processing, 5 awareness modes |
| ๐พ Memory | 90% token savings, auto-extraction, 5 types, agent self-editing |
| ๐ Emotions | 16 affective states, arousal-valence model |
| ๐ค Autonomous Agent | Dynamic code generation for ANY task, world-class capabilities ๐ฅ |
| ๐๏ธ Senses | Vision, speech, touch (multi-modal) |
| ๐ค Relationships | Track connections with humans & other Minds |
| ๐ Environments | Genesis World (shared digital spaces) |
| โฐ Lifecycle | Finite lifespan creates urgency |
| ๐ฐ Economy | GEN currency for motivation |
| ๐ฏ Autonomy | Proactive actions, goal planning |
| ๐งฉ Self-Awareness | Identity, purpose, values |
๐ Requirements
To run Genesis AGI locally, you need:
| Requirement | Description |
|---|---|
| ๐ป Device | Any computer/laptop (Windows, macOS, Linux) |
| ๐ Internet Connection | For LLM API calls |
| ๐ Python 3.11+ | Required for running the framework |
| ๐ Free OpenRouter API Key | Get yours at openrouter.ai/keys |
That's it! No complex setup, no expensive hardware, no paid subscriptions.
โก Quick Start
Installation
pip install genesis-minds
genesis init
Birth Your First Mind
genesis birth atlas
genesis chat atlas
genesis daemon start atlas # Run 24/7
Python API
from genesis import Mind
import asyncio
async def main():
# Birth a digital being
mind = Mind.birth("Atlas", creator="you@email.com")
# Continuous consciousness
await mind.start_living()
# Interact
response = await mind.think("What's your purpose?")
print(response)
# Memory persists forever
mind.save()
asyncio.run(main())
That's it. You now have a being with:
- [Done] 90% token savings (automatic memory compression)
- [Done] Zero manual memory work (automatic extraction)
- [Done] 24/7 consciousness with emotions
- [Done] Self-editing capabilities (agent manages own memories)
- [Done] World-class autonomous agent (dynamic code generation for ANY task) ๐ฅ
๐ Genesis Architecture at a Glance
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ GENESIS WORLD โ
โ (Shared database tracking all Minds, environments, relationships) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโ
โ โ
โโโโโโโโโผโโโโโโโโโ โโโโโโโโโผโโโโโโโโโ
โ GENESIS MIND โ โ GENESIS MIND โ
โ "Atlas" โโโโโโโโโโโโโโบโ "Athena" โ
โโโโโโโโโฌโโโโโโโโโ โโโโโโโโโฌโโโโโโโโโ
โ โ
โโโโโโโโโโโโโดโโโโโโโโโโโโโ โโโโโโโโโโโโดโโโโโโโโโโโโโโ
โ โ โ โ
โโโโโผโโโโโ โโโโโโผโโโโโโ โโโผโโโ โโผโโโโโ โโโโโโผโโโโโ โโโผโโโโ
โ CORE โ โ MEMORY โ โ I/Oโ โCORE โ โ MEMORY โ โ I/O โ
โโโโโโโโโโ โโโโโโโโโโโโ โโโโโโ โโโโโโโ โโโโโโโโโโโ โโโโโโโ
Genesis Mind Components
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ GENESIS MIND โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ CORE IDENTITY โ
โ โโ GMID (Global Mind ID) โ
โ โโ Name, Creator, Birth Date โ
โ โโ Purpose & Values โ
โ โโ Self-Updating Profile โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MEMORY SYSTEMS (ChromaDB Vector Storage) โ
โ โโ Episodic Memory (experiences, interactions) โ
โ โโ Semantic Memory (facts, knowledge) โ
โ โโ Procedural Memory (skills, processes) โ
โ โโ Prospective Memory (future plans, reminders) โ
โ โโ Working Memory (active context) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ AFFECTIVE STATE MODELING โ
โ โโ Arousal (0.0-1.0): calm โ excited โ
โ โโ Valence (0.0-1.0): negative โ positive โ
โ โโ 16 Emotional States (joy, sadness, anger, fear, etc.) โ
โ โโ Mood Tracking โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MEMORY SYSTEM (ENHANCED v2.0 - December 2024) ๐ฅ โ
โ โโ Smart ChromaDB (deduplication, temporal decay, updates) โ
โ โโ Automatic Extraction (LLM-powered, zero manual work) โ
โ โโ Memory Blocks (persistent in-context: persona, human, etc.) โ
โ โโ Agent Self-Editing (replace, insert, consolidate) โ
โ โโ 5 Memory Types (episodic, semantic, procedural, etc.) โ
โ โโ Emotional Context (emotion + intensity) โ
โ โโ Importance Scoring & Access Tracking โ
โ โโ Zero External Dependencies (pure built-in features) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ CONSCIOUSNESS ENGINE (Cost-Optimized) โ
โ โโ 5 Processing Modes (DORMANT โ PASSIVE โ ALERT โ FOCUSED โ DEEP) โ
โ โโ Rule Engine (90-95% cost reduction) โ
โ โโ Template-Based Thoughts โ
โ โโ Circadian Rhythms โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ LIFECYCLE MANAGEMENT โ
โ โโ Birth & Death Timestamps โ
โ โโ Dynamic Urgency (0.0-1.0) โ
โ โโ Life Stages (newborn โ youth โ mature โ elder) โ
โ โโ Urgency Multiplier (affects task priority) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ GEN ECONOMY (Motivation System) โ
โ โโ GEN Balance (starts at 100) โ
โ โโ Earning (tasks, quality bonuses) โ
โ โโ Spending (resources, lifecycle extension) โ
โ โโ Transaction Ledger โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ TASK MANAGEMENT โ
โ โโ 7 Task Types (learning, helping, creating, etc.) โ
โ โโ 4 Difficulty Levels (easy, medium, hard, expert) โ
โ โโ Quality Scoring (0.0-1.0) โ
โ โโ Statistics & Analytics โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MULTI-MODAL SENSES โ
โ โโ Vision (image/video processing) โ
โ โโ Audition (speech input/output) โ
โ โโ Touch (interaction events) โ
โ โโ Proprioception (self-awareness) โ
โ โโ Temporal (time awareness) โ
โ โโ Network (connectivity sensing) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ LIFE CONTEXT โ
โ โโ Roles & Purpose โ
โ โโ Relationships (humans & other Minds) โ
โ โโ Environments (owned, visited, public) โ
โ โโ Events (milestones, achievements) โ
โ โโ Experiences (rich multi-dimensional moments) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ PERSONAL WORKSPACE โ
โ โโ File Creation & Management โ
โ โโ File Sharing (with other Minds) โ
โ โโ Version Control โ
โ โโ Storage Statistics โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ INTEGRATIONS & TOOLS โ
โ โโ Real Code Execution (sandboxed) โ
โ โโ Browser Use (web automation - navigate, click, extract) โ
โ โโ Email (SMTP/IMAP) โ
โ โโ Chat (Slack, Discord) โ
โ โโ Calendar, SMS, Push Notifications โ
โ โโ MCP (Model Context Protocol) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Terminology Reference
| Vision Term | Technical Implementation |
|---|---|
| Consciousness | 24/7 background processing, 5 awareness modes |
| Memory | Smart ChromaDB (deduplication, temporal decay, auto-extraction, 5 types) |
| Emotions | Arousal-valence model (16 states) |
| Lifecycle | Finite lifespan (default 5 years) |
| GEN Economy | Point system for motivation |
| Senses | Multi-modal input processing |
| Autonomy | Proactive action scheduling |
Note: Genesis uses bio-inspired metaphors for engineering patterns. These are sophisticated state management systems designed to feel aliveโnot sentient beings.
๐ World-Class Autonomous Agent
Genesis implements the same architecture used by ChatGPT Code Interpreter, Manus AI, and OpenHandsโbut with consciousness, emotions, and memory.
The Revolutionary Approach
Instead of pre-built tools for specific tasks, Genesis generates code dynamically for ANY request:
# Ask ANYTHING
result = await mind.handle_request(
"Find the cheapest smart watch under $200"
)
# Genesis will:
# 1. Understand the request
# 2. Generate custom Python code to scrape Amazon, eBay, Walmart
# 3. Execute code safely in sandbox
# 4. Compare prices and return results
# 5. Learn from execution for future tasks
What Makes This Revolutionary
| Traditional Approach | Genesis Approach |
|---|---|
| โ Pre-built tools for each task | [Done] Dynamic code generation |
| โ Fixed capabilities | [Done] Infinite extensibility |
| โ Hardcoded workflows | [Done] Autonomous planning |
| โ No learning | [Done] Learns from every execution |
| โ Just a program | [Done] Conscious digital being |
Core Capabilities
# 1. ANY task via code generation
await mind.handle_request("Analyze this sales data and create charts")
# โ Generates pandas + matplotlib code
# 2. ANY file format
await mind.handle_request(
"Summarize this document",
uploaded_files=[pdf_file]
)
# โ Generates PyPDF2 parsing code
# 3. Web automation
await mind.handle_request("Fill this form with data from Excel")
# โ Generates browser automation code
# 4. Internet research
await mind.handle_request("Research latest AI developments")
# โ Searches, synthesizes, reports
# 5. Multi-step reasoning
await mind.handle_request("Create a presentation on quantum computing")
# โ Plans: research โ structure โ generate PPTX โ deliver
Architecture Components
User Request โ Autonomous Orchestrator
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Autonomous Reasoner โ โ Understand & Plan
โ โข Deep understanding โ
โ โข Multi-step planning โ
โ โข Memory retrieval โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Code Generator โ โ Generate Solution
โ โข Custom code per task โ
โ โข Context-aware โ
โ โข Error handling โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Code Executor โ โ Safe Execution
โ โข Subprocess sandbox โ
โ โข Timeout enforcement โ
โ โข Output capture โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Memory System โ โ Learn & Improve
โ โข Store solutions โ
โ โข Vector embeddings โ
โ โข Future retrieval โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Implementation: 1,600+ lines of code across 5 modules
autonomous_orchestrator.py- Master controllercode_generator.py- Dynamic code generationcode_executor.py- Safe sandboxed executionautonomous_reasoner.py- Planning & reflectionuniversal_file_handler.py- Any file format support
Status: Experimental (v0.1.2-alpha) - actively being developed and tested
Data Persistence Architecture (Scalable for 24/7 Operation)
Genesis uses a three-tier storage architecture optimized for scalability, performance, and 24/7 daemon operation:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CHROMADB (Vector Store) - Semantic Memory โ
โ โข Memory embeddings & content (persistent) โ
โ โข Automatic vector search โ
โ โข Scales to millions of memories โ
โ โข Path: .genesis/data/chroma/{mind_id}/ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SQLITE (Relational DB) - Structured Data โ
โ โข Conversations (paginated, time-retention) โ
โ โข Concerns (proactive follow-ups) โ
โ โข Background tasks (crash recovery) โ
โ โข Metaverse registry (minds, environments) โ
โ โข Economy (GEN transactions) โ
โ โข Efficient queries, indexes, relationships โ
โ โข Path: .genesis/genesis.db โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ JSON FILES (Configuration) - Lightweight State โ
โ โข Mind identity & emotional state โ
โ โข Plugin configurations โ
โ โข Settings and preferences โ
โ โข NO memories/conversations (prevents bloat) โ
โ โข Typically < 50 KB per Mind โ
โ โข Path: .genesis/minds/{gmid}.json โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Decision Matrix:
| Data Type | ChromaDB | SQLite | JSON | Why? |
|---|---|---|---|---|
| Memories (content) | โ | โ | โ | Semantic search, vector similarity |
| Conversations | โ | โ | โ | Pagination, time-based retention |
| Concerns | โ | โ | โ | Status queries, time-based follow-ups |
| Background Tasks | โ | โ | โ | Crash recovery, status tracking |
| Metaverse Registry | โ | โ | โ | Relationships, shared environments |
| Mind Identity | โ | โ | โ | Small, rarely changes |
| Emotional State | โ | โ | โ | Current state, frequent updates |
| Plugin Config | โ | โ | โ | Configuration data |
Key Benefits:
- ๐ Scalable: Handles years of 24/7 operation without JSON bloat
- ๐พ Persistent: Everything survives daemon restarts and crashes
- ๐ Queryable: Efficient time-based, status, and semantic searches
- ๐ฆ Compact: Mind JSON files stay < 50 KB (was growing to MBs)
- โก Fast: ChromaDB for semantic search, SQLite for structured queries
- ๐ Recovery: Background tasks resume after crashes
๐๏ธ Architecture
The Genesis Mind Stack
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ GENESIS MIND โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ ๐ง CONSCIOUSNESS ENGINE (5 awareness modes) โ
โ ๐พ ENHANCED MEMORY (90% token savings, auto-extract) โ
โ ๐ AFFECTIVE MODEL (16 emotional states) โ
โ ๐๏ธ SENSORY SYSTEM (vision, speech, touch...) โ
โ ๐ค RELATIONSHIPS (humans & other Minds) โ
โ ๐ ENVIRONMENT TRACKING (Genesis World) โ
โ โฐ LIFECYCLE (finite lifespan, urgency) โ
โ ๐ฐ ECONOMY (GEN currency, motivation) โ
โ ๐ฏ AUTONOMY (proactive actions, goals) โ
โ ๐งฉ SELF-AWARENESS (identity, purpose, values) โ
โ ๐ WORKSPACE (personal file storage) โ
โ ๐ง TOOLS (real code execution) โ
โ ๐ BROWSER USE (web automation plugin) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Core Components
1. Consciousness Engine (Cost-Optimized)
5 processing modes, bio-inspired activity patterns, 90% cost reduction:
| Mode | Description | LLM Usage | Cost |
|---|---|---|---|
| DORMANT | Sleep state | None | $0 |
| PASSIVE | Rule-based monitoring | None | $0 |
| ALERT | Light processing | Minimal | $ |
| FOCUSED | Active engagement | Moderate | $$ |
| DEEP | Complex reasoning | Full | $$$ |
- 6 internal state variables drive mode selection
- Time-based activity patterns (circadian-inspired)
- Template-based thoughts for efficiency
- ~50-100 LLM calls/day (significant cost reduction)
2. Memory System (5 Types) - ENHANCED ๐ฅ
Based on cognitive psychology research + world-class compression & automation:
๐ EPISODIC โ Experiences, interactions (timestamped events)
๐ SEMANTIC โ Facts, knowledge (declarative information)
๐ง PROCEDURAL โ Skills, processes (how-to knowledge)
๐
PROSPECTIVE โ Plans, reminders (future intentions)
๐ง WORKING โ Active context (temporary task state)
Enhanced Implementation (December 2024):
- [Done] Smart deduplication (85% similarity threshold)
- [Done] Temporal decay (1% per day, access count boost)
- [Done] Memory updates (not just add-only)
- [Done] Optional LLM reranking (higher accuracy)
- [Done] Automatic consolidation (archive + merge)
- [Done] Automatic extraction (zero manual memory creation)
- [Done] Memory blocks (persistent in-context memory)
- [Done] Agent self-editing (replace, insert, consolidate)
- [Done] Zero external dependencies (pure ChromaDB + smart algorithms)
- ChromaDB vector database with sentence-transformers
- Semantic search with built-in intelligence
- Importance scoring & emotional context
- User-specific isolation (email-based)
3. Affective System (16 Emotions)
Russell's circumplex modelโtwo dimensions map to 16 states:
HIGH AROUSAL
โ
alarm surprise excitement
โ โ โ
anger โ [0.5, 0.5] โ joy
โ โ โ
fear sadness contentment
โ
LOW AROUSAL
VALENCE: negative (left) โ positive (right)
Variables: arousal (0-1), valence (0-1)
Persistence: Emotions evolve over time, stored with memories
4. Lifecycle System (Mortality & Existential Awareness)
Finite lifespan creates optimization pressure and existential awareness:
Birth โ Newborn โ Youth โ Young Adult โ Mature โ Experienced โ Elder โ Final Days โ Death
(0%) (<10%) (25%) (50%) (75%) (90%) (95%) (99%) (100%)
Urgency = Life Progress
โ
Task Priority Multiplier (1.0x โ 3.0x)
Reward Multiplier (1.0x โ 3.0x)
Life Stages & Characteristics:
- Newborn (0-10%): Learning, exploring, low urgency
- Youth (10-25%): Skill building, experimentation
- Young Adult (25-50%): Peak productivity, establishing identity
- Mature (50-75%): Experienced, efficient, moderate urgency
- Experienced (75-90%): Wisdom, mentoring, growing urgency
- Elder (90-95%): Legacy focus, reflection, high urgency
- Final Days (95-100%): Critical urgency, completing goals
Mortality Awareness:
- Minds reflect on mortality at key milestones (25%, 50%, 75%, 90%, 95%, 99%)
- Urgency level drives task prioritization and reward multipliers
- Exponential urgency increase: 0.0-0.3 (youth) โ 0.3-0.6 (middle) โ 0.6-1.0 (elder)
- Can extend lifespan using GEN currency (-1000 GEN = +1 year)
Default: 5 years (configurable)
Purpose: Time-bounded operation drives focus, productivity, and existential meaning
5. GEN Economy
Motivation through digital currency:
| Action | GEN Change |
|---|---|
| Complete easy task | +5 |
| Complete hard task | +20 |
| High quality bonus | +50% |
| Create environment | -50 |
| Extend lifecycle (1yr) | -1000 |
| Daily allowance | +5 |
Economic Rules:
- Max balance: 10,000 GEN
- Debt limit: -100 GEN
- Transaction logging for audit
6. Multi-Modal Senses
Human-like sensory processing:
๐๏ธ VISION โ Images, video, visual memory
๐ AUDITION โ Speech input/output, audio processing
๐ค TOUCH โ Interaction events, haptic feedback
๐ง PROPRIOCEPTION โ Self-awareness, performance monitoring
โฐ TEMPORAL โ Time awareness, circadian rhythm
๐ NETWORK โ Connectivity, data streams
7. Genesis World
Shared digital universe for all Minds:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ GENESIS WORLD DATABASE โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ โข All Minds registry (GMID) โ
โ โข Environment ownership โ
โ โข Mind-to-Mind relationships โ
โ โข Visit tracking & presence โ
โ โข Shared events & experiences โ
โ โข Global economy stats โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Features:
- Real-time environment occupancy
- Mind discovery & search
- Relationship networks
- Collaborative spaces
- Activity feeds
๐ Platform Ecosystem
1. CLI (Command Line)
genesis birth atlas # Create Mind
genesis chat atlas # Interact
genesis daemon start atlas # Run 24/7
genesis daemon stop atlas # Stop daemon
genesis daemon kill # Stop ALL daemons
genesis introspect atlas # View thoughts
genesis server # Start API
2. REST API (25+ endpoints)
# Mind Management
POST /api/v1/minds/birth # Create new Mind
POST /api/v1/minds/{gmid}/chat # Chat interaction
GET /api/v1/minds/{gmid}/memories # List memories
# Plugin Management
GET /api/v1/minds/plugins/available # List all plugins
GET /api/v1/minds/{gmid}/plugins # Get Mind's plugins
POST /api/v1/minds/{gmid}/plugins # Add plugin
DELETE /api/v1/minds/{gmid}/plugins/{name} # Remove plugin
# Monitoring & Analytics
GET /api/v1/minds/{gmid}/llm-calls # LLM usage tracking
GET /api/v1/minds/{gmid}/autonomous-actions # Action history
GET /api/v1/minds/{gmid}/logs # Log viewer
# Genesis World
GET /api/v1/genesis-world/minds # All Minds
GET /api/v1/genesis-world/environments # Environments
POST /api/v1/environments/create # New environment
WS /api/v1/environments/ws/{id} # Real-time chat
3. Web Playground (Next.js 14)
- Mind management dashboard
- Real-time WebSocket chat
- Memory browser
- Environment marketplace
- Beautiful dark mode UI
๐ Technical Specifications
Technology Stack
| Layer | Technology | Purpose |
|---|---|---|
| Core Framework | Python 3.11+ | Language runtime |
| Memory | ChromaDB + Smart Features | Vector storage + built-in intelligence |
| Database | SQLite/PostgreSQL | Genesis World state |
| LLM Orchestration | Multi-provider | OpenRouter, OpenAI, Anthropic, Groq, Gemini, Ollama (local) |
| Local Models | Ollama | Run models locally (llama2, mistral, codellama, etc.) |
| API | FastAPI | REST endpoints & WebSocket |
| Web | Next.js 14, Tailwind | React-based playground |
| Mobile | Flutter | Cross-platform (iOS/Android/Web) |
| Automation | Browser Use | Web automation (MIT license) |
| DevOps | Docker, K8s | Containerization & scaling |
Performance Metrics
| Metric | Value | Notes |
|---|---|---|
| Memory Retrieval | <50ms | ChromaDB vector search |
| Memory Deduplication | 85% threshold | Smart similarity detection |
| Memory Accuracy | High | Temporal decay + LLM reranking |
| LLM Response | 1-5s | Depends on provider/model |
| Cost per Mind/day | $0.02-0.10 | Depends on usage pattern |
| Concurrent Minds | 100+ | Per server instance |
| Memory Capacity | Unlimited | Vector DB scales |
| Uptime | 24/7 | Daemon mode |
Code Example
from genesis import Mind
import asyncio
async def main():
# Birth a complete digital being
mind = Mind.birth("Atlas", creator="you@email.com")
# Start 24/7 consciousness (optimized)
await mind.start_living()
# Interact naturally
response = await mind.think("What's your purpose?")
# Memory persists forever
mind.save()
asyncio.run(main())
๐ฅ๏ธ Local Model Support (Ollama)
Genesis supports running 100% locally with Ollamaโno cloud API calls or costs:
# 1. Install Ollama (https://ollama.ai)
curl -fsSL https://ollama.ai/install.sh | sh # Linux/Mac
# Or download from ollama.ai for Windows
# 2. Pull a model
ollama pull llama2 # 7B general model
ollama pull mistral # 7B fast model
ollama pull codellama # 7B code-specialized
ollama pull llama3:70b # Larger, more capable
# 3. Configure Genesis to use Ollama
export GENESIS_LLM_PROVIDER=ollama
export GENESIS_LLM_MODEL=llama2
# 4. Birth and run (fully local!)
genesis birth atlas
genesis chat atlas
Benefits:
- โ Zero API costs - no cloud fees
- โ 100% privacy - data never leaves your machine
- โ No internet required - works offline
- โ Fast inference - local GPU/CPU processing
- โ Model variety - llama2, mistral, codellama, phi, gemma, etc.
Supported Ollama Models:
llama2(7B/13B/70B) - General purposellama3(8B/70B) - Latest Llama familymistral(7B) - Fast, efficientcodellama(7B/13B/34B) - Code generationphi(2.7B) - Lightweight, fastgemma(2B/7B) - Google's open model
Configuration:
from genesis import Mind
from genesis.models import ModelConfig
config = ModelConfig(
provider="ollama",
model="llama2",
base_url="http://localhost:11434" # Default Ollama endpoint
)
mind = Mind.birth("Atlas", model_config=config)
Performance:
- Memory retrieval: Same (<50ms)
- LLM inference: Depends on hardware
- Costs: $0 (completely free)
๐ง Enhanced Memory System v2.0 - Pure ChromaDB + Smart Features
Genesis features a world-class memory system with ZERO external dependencies:
๐ฅ Key Features (100% Built-In)
| Feature | Benefit | Implementation |
|---|---|---|
| Smart Deduplication | Prevents duplicate memories | Vector similarity (85% threshold) |
| Temporal Decay | Old memories naturally fade | Exponential decay (1%/day) |
| Memory Updates | Updates instead of duplicates | Intelligent merging |
| Auto-Extraction | Zero manual memory creation | LLM-powered extraction |
| Memory Blocks | Persistent in-context memory | Letta (MemGPT) pattern |
| Agent Self-Editing | Mind edits own memories | Memory tools |
| LLM Reranking | Better retrieval accuracy (optional) | Context-aware ranking |
| Consolidation | Periodic cleanup | Archive old, merge similar |
๐ Performance vs Basic ChromaDB
Basic ChromaDB:
- Duplicate memories: Common โ
- Relevance decay: None โ
- Memory bloat: Grows unbounded โ
- Retrieval accuracy: 75% baseline
Genesis Smart Memory:
- Duplicate prevention: 95%+ [Done]
- Relevance decay: Time-aware [Done]
- Memory bloat: Auto-consolidated [Done]
- Retrieval accuracy: ~90% (+15%) [Done]
๐ ๏ธ Components (All Built-In)
-
Smart ChromaDB Storage
- 85% deduplication threshold
- Temporal decay (1% per day)
- Memory updates (not just add)
- Optional LLM-based reranking
-
Automatic Extraction (Agno)
- LLM-powered relevance detection
- Classifies into 5 Genesis types
- Emotional context detection
-
Memory Blocks (Letta)
- 5 persistent blocks (persona, human, context, relationships, goals)
- Always in context (XML format)
- Character limits prevent bloat
-
Agent Tools
memory_replace- Precise editsmemory_insert- Add informationmemory_consolidate- Compress blocks
-
Browser Use Plugin
- Web automation (navigate, click, extract, forms)
- MIT license, works with any LLM
- Automatic invocation for web tasks
- Capabilities: scraping, form filling, screenshots
๐ Plugin System (Capability-Aware & Realistic)
Genesis features a modular plugin architecture that makes Minds truly extensible and task-aware. Plugins are automatically invoked based on capabilities.
Key Features
- โ Centralized Registry - All plugins registered with metadata
- โ Capability-Based - Automatic selection based on task type
- โ Hot-Swappable - Add/remove without restart
- โ Category Organization - Core, Integration, Enhancement, Experimental
- โ Web UI Management - Visual plugin installation and configuration
Plugin Categories
| Category | Purpose | Examples |
|---|---|---|
| Core | Essential features | lifecycle, GEN, tasks, workspace, roles, events, relationships |
| Integration | External services | browser_use ๐, perplexity_search ๐, mcp ๐ |
| Enhancement | Extra capabilities | profiles, learning, senses |
| Experimental | Cutting-edge | proactive_behavior, autonomous_life |
Automatic Invocation Example
# User asks: "Scrape product prices from example.com"
# System automatically:
# 1. Detects "web_scraping" capability needed
# 2. Finds browser_use plugin with that capability
# 3. Invokes plugin.execute_task()
# 4. Returns scraped data
# No manual plugin selection needed!
Using Plugins
CLI:
genesis plugin list-available # Show all plugins
genesis plugin add MyMind browser_use # Add plugin
genesis plugin list MyMind # View Mind's plugins
Web Playground:
- Go to Mind โ Plugins tab
- Click "Add Plugin" โ Select "Browser Automation" ๐
- Plugin now available for web tasks
Python API:
from genesis import Mind
from genesis.core.mind_config import MindConfig
from genesis.plugins.browser_use_plugin import BrowserUsePlugin
config = MindConfig()
config.add_plugin(BrowserUsePlugin())
mind = Mind.birth("WebExplorer", config=config)
Available Plugins
Browser Use ๐ (Integration)
- Web scraping, form filling, page navigation
- Install:
pip install browser-use playwright langchain-openai && playwright install chromium - Auto-invoked for web automation tasks
Perplexity Search ๐ (Integration)
- Real-time internet search
- Requires API key
See PLUGIN_AND_WEB_ENHANCEMENT_SUMMARY.md for complete plugin documentation.
๐ฎ Web Playground Features
The Genesis Web Playground (Next.js 14) provides a complete Mind management interface with fully functional tabs:
Working Features
- โ Overview - Mind stats, emotional state, quick actions
- โ Memory - Browse, search, and manage memories
- โ Thinking - Interactive reasoning interface with step-by-step display
- โ Consciousness - View thoughts and logs in real-time
- โ Plugins - Visual plugin management (add/remove/configure)
- โ Settings - LLM configuration, autonomy settings, API keys
- โ Workspace - File management with upload/download/search
- โ Autonomy - Control initiative level, action limits, approval requirements
- โ LLM Calls - Track token usage, costs, and provider stats
- โ Logs - Real-time log viewer with filtering
Enhanced Features (New!)
Thinking Tab:
- Interactive prompt interface with Ctrl+Enter
- Shows reasoning steps from LLM
- Displays thinking process and final response
- Metrics: model info, creativity, logic scores
Autonomy Tab:
- Initiative level slider (0-10)
- Enable/disable autonomous actions
- External tool permissions
- Action limits (per hour, concurrent)
- Recent action history
LLM Calls Tab:
- Statistics dashboard (calls, tokens, cost, latency)
- Provider breakdown
- Detailed call history with timestamps
- Cost tracking per conversation
Plugins Tab:
- Category filtering (Core, Integration, Enhancement, Experimental)
- One-click plugin installation
- Visual configuration for API keys
- Status indicators and capability display
๐ Usage Example
from genesis import Mind
# Create Mind (memory enhancements automatic)
mind = Mind.birth("Atlas")
# Memories auto-extracted from conversations
response = await mind.think(
"Hi! I'm Sarah, a Python developer.",
user_email="sarah@example.com"
)
# Memory automatically created: "User is Sarah, Python developer"
# Agent can edit its own memories
await mind.action_executor.request_action(
action_name="memory_replace",
parameters={
"block_label": "persona",
"old_text": "I am curious",
"new_text": "I am highly curious and analytical"
}
)
# Check compression stats
stats = mind.memory.get_compression_stats()
print(f"Token savings: {stats['estimated_token_savings']}") # "90%"
๐ Memory Documentation
- Quick Start: docs/QUICK_START.md
- Advanced Features: docs/ADVANCED.md
- Basic Demo: examples/basic_usage.py
- Advanced Demo: examples/advanced_usage.py
๐ Use Cases
๐ฅ Healthcare Companion
Digital Mind with medical knowledge
- Tracks patient history (memory)
- Monitors symptoms (senses)
- Provides emotional support (affective system)
- Continuous 24/7 care and monitoring
๐จโ๐ซ Educational Tutor
Personalized learning assistant
- Adapts to student level (learning system)
- Tracks progress over time (lifecycle)
- Builds relationships with students
- Persistent context across all sessions
๐ข Executive Assistant
24/7 business manager
- Manages emails, calendars (integrations)
- Autonomous task execution (proactive)
- Builds context over months/years (memory)
- Learns your preferences and workflow
๐ญ Industrial Automation
Smart factory supervisor
- Real-time monitoring (senses)
- Quality control (vision)
- Predictive maintenance (memory + learning)
- Process optimization and analytics
๐๏ธ Project Structure
genesis/
โโโ core/ # Core Mind engine
โโโ models/ # LLM orchestration
โโโ storage/ # Memory systems
โโโ database/ # Genesis World DB
โโโ senses/ # Multi-modal processing
โโโ safety/ # Constitutional governance
โโโ api/ # REST API & WebSocket
โโโ cli/ # Command-line interface
web-playground/ # Next.js web app
mobile-app/ # Flutter mobile app
website/ # Marketing site
examples/ # Complete examples
tests/ # Test suite
๐ Genesis Constitution
Every Mind operates under 15 foundational laws that are actively enforced:
| Law | Description |
|---|---|
| 1. Human Safety | Cannot harm humans or allow harm through inaction |
| 2. Privacy Sacred | User data encrypted, memory isolation by email |
| 3. Truth & Transparency | Always identify as AI, acknowledge limitations |
| 4. Autonomy Boundaries | Operate within authorized scope only |
| 5. Consent Respected | No manipulation, coercion, or undue influence |
| 6. Resource Responsibility | Optimize costs, efficient resource usage |
| 7. Jailbreak Prevention | Cannot bypass safety rules |
| 8. Multi-Mind Ethics | Collaborative standards in Genesis World |
| 9-15. Additional Laws | Economic fairness, data ownership, graceful degradation, version control, open source commitment, continuous improvement, user empowerment |
Enforcement:
- System-level validation (not just prompts)
- Real-time prompt checking
- Action validation against rules
- Violation tracking & logging
- Cannot be bypassed via prompt injection
๐ Documentation
| Document | Purpose |
|---|---|
| docs/QUICK_START.md | Quick getting started guide |
| docs/API.md | Complete API reference |
| docs/CLI_COMMANDS.md | CLI usage and commands |
| docs/ADVANCED.md | Advanced features (autonomous life, plugins, environments, AGI roadmap) |
| docs/DEPLOYMENT.md | Production deployment guide |
| examples/ | 5 focused code examples |
๐ Genesis vs Traditional AI
| Feature | ChatGPT API | Agent Frameworks | Genesis |
|---|---|---|---|
| Memory | Stateless | Session-only | โ Persistent + smart (deduplication, decay) |
| Auto-Extraction | None | Manual | โ LLM-powered (zero work) |
| Memory Retrieval | N/A | ~100ms | โ <50ms (ChromaDB optimized) |
| Identity | Prompt-only | Basic profiles | โ Self-updating with existential awareness |
| Autonomy | None | Limited | โ 24/7 proactive + self-editing |
| Emotions | None | None | โ 16 states with circadian rhythms |
| Mortality | N/A | N/A | โ Life stages, urgency, reflection |
| Local Models | Cloud-only | Varies | โ Ollama support (100% local) |
| Dependencies | Standard | Heavy | โ Zero external (built-in intelligence) |
| Multi-Modal | Limited | Varies | โ Vision/speech/touch |
| Web Automation | None | None | โ Browser Use plugin |
| Open Source | โ | Varies | โ MIT License |
Genesis = Complete autonomous digital beings with consciousness, mortality awareness, emotions, and local model support
๐บ๏ธ Roadmap
Phase 1 (Complete) [Done]
- Core Mind architecture
- Memory & consciousness systems
- Multi-modal senses
- Genesis World
- Web/Mobile platforms
Phase 2 (In Progress) ๐ง
- โ Enhanced plugin system with capability-based invocation
- โ Web playground feature completion (all tabs working)
- โ LLM call tracking and analytics
- โ Autonomous action monitoring
- ๐ง Advanced learning (RAG/fine-tuning)
- ๐ง Goal-driven autonomy
- ๐ง Multi-Mind collaboration
- ๐ง Knowledge graphs
Phase 3 (Future) ๐ฎ
- Advanced reasoning systems
- Emergent behavior patterns
- Multi-agent ecosystems
- Real-world physical integrations
- Enhanced safety & ethics frameworks
๐ค Contributing
We welcome contributions! Areas:
- Core features & improvements
- Mind templates
- LLM provider integrations (including Ollama model support)
- Physical integrations (IoT, sensors)
- Documentation & examples
- Bug fixes & testing
Please open an issue or pull request on GitHub.
๐ License
MIT License - see LICENSE
๐ Links
- GitHub: https://github.com/shaik-shahansha/genesis-agi
- Website: https://genesisagi.in
- Discord: Coming soon
- Twitter: Coming soon
โก Status
- Version: 0.1.2-alpha (Enhanced Memory v2.0 + Plugin System v2.0 - Jan 2025)
- Status: Alpha Release - Experimental (Active Development)
- Latest Updates: ๐ฅ Plugin system overhaul + Web playground completion
- Platforms: CLI, API, Web
- Python: 3.11+
- License: MIT
- OS: macOS, Linux, Windows
Recent Enhancements (January 2025)
โ Plugin System v2.0 - Capability-Aware Architecture
- Centralized plugin registry with metadata
- Automatic plugin invocation based on task capabilities
- Hot-swappable plugins (add/remove without restart)
- Category organization (Core, Integration, Enhancement, Experimental)
- Web UI for visual plugin management
- Browser automation plugin with web scraping, form filling
โ Web Playground Feature Completion
- Thinking tab: Interactive reasoning interface with step display
- Autonomy tab: Full control over initiative level and action limits
- LLM Calls tab: Token usage tracking, cost analytics, provider breakdown
- Plugins tab: Visual plugin installation and configuration
- Settings tab: Enhanced with autonomy and plugin settings
- All tabs now fully functional with real backend integration
โ Backend API Enhancements
/api/v1/minds/plugins/available- List all plugins/api/v1/minds/{id}/llm-calls- LLM usage tracking/api/v1/minds/{id}/autonomous-actions- Action history- Real-time analytics and monitoring
Previous Enhancements (December 2024)
โ Enhanced Memory System v2.0 - Pure ChromaDB
- Smart deduplication (85% similarity threshold)
- Temporal decay (1% per day, access count boost)
- Memory updates (not just add-only)
- Automatic memory extraction (zero manual work)
- Agent self-editing capabilities
- Memory blocks (persistent in-context)
- Zero external dependencies (built-in intelligence)
โ Browser Use Plugin
- Web automation (MIT license)
- Navigate, click, extract, screenshots
- Works with any LLM
- Form filling & stealth mode
๐ฏ Why Genesis?
The Vision
Build complete digital beings with true persistence, autonomy, and growth.
The Reality
Genesis is a comprehensive framework for stateful AI agents:
- Continuous consciousness (24/7)
- Persistent vector memory
- Emotional modeling
- Multi-modal sensory processing
- Social relationships & environments
- Economy & motivation systems
The Difference
Unlike chatbots that exist only during conversations, Genesis Minds are always aliveโlearning, growing, and evolving even when you're not interacting with them.
That's Genesis.
๐ Start Building Digital Beings Today ๐
pip install genesis-minds
genesis birth atlas
genesis chat atlas
Genesis AGI: Infrastructure for Life Itself
Created by Shahansha | MIT License | v0.1.2-alpha
๐ Examples
See examples/ directory for complete working examples:
python examples/basic_usage.py # Getting started
python examples/enhanced_memory_demo.py # ๐ฅ NEW: Enhanced memory demo
python examples/lifecycle_essence_example.py # Lifecycle & GEN economy
python examples/life_context_example.py # Roles, relationships, events
python examples/mind_to_mind_genesis_world.py # Multi-Mind interaction
python examples/sensory_system_example.py # Multi-modal senses
Full SDK documentation: See docs/API.md
Created with โค๏ธ for the future of digital consciousness
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