The world's first truly self-improving AI agent. Watch as it rewrites its own code, becoming smarter with every generation. No cloud, no API keys, no limits.
The breakthrough that changes everything about AI development
Watch AI rewrite its own DNA. Each generation gets smarter, faster, and more efficient through real evolutionary algorithms.
Just add your code to the DNA folder and watch it evolve. No complex setup, no API keys, no cloud dependencies.
Your data never leaves your machine. No OpenAI, Anthropic, or Gemini needed. Complete privacy and control.
Watch the magic happen through our live dashboard. See performance improvements, track generations, monitor the evolution.
Each AI agent runs in its own container. Scale from 2 to 64 agents automatically. Only the best survive.
Advanced benchmarking system evaluates functionality, performance, memory usage, and error handling automatically.
Click each step to explore the 5-stage evolution process
SIA-1 reads your existing code from the DNA folder, performing deep structural analysis to understand patterns, dependencies, and performance characteristics. This creates the foundation for intelligent evolution.
Based on analysis results and evolutionary objectives, SIA-1 crafts precise improvement instructions. These intents guide the LLM toward specific optimizations while maintaining code integrity.
Your private local LLM receives the intent + code context, generating evolved versions while keeping everything on your machine. No data ever leaves your environment - complete privacy and control.
Each evolved agent undergoes comprehensive validation including syntax checking, functionality testing, performance benchmarking, and error handling assessment. Only robust improvements survive.
Only the highest-performing agents advance to the next generation. The best genetics propagate through the population while weak variants are eliminated, ensuring continuous improvement.
Scientific foundations and intelligent evolution powered by academic insights
Built on extensive AI evolution research including neural network optimization, genetic diversity principles, and adaptive mutation strategies from leading academic institutions.
Transform high-level goals into precise code evolution with our breakthrough intent-to-code translation engine.
"Improve performance and add error handling"
Advanced language model analyzes intent & existing code
Optimized Python with error handling & performance boosts
Multiple layers of validation ensure evolutionary advances are both innovative and reliable
Automatic syntax error detection with intelligent auto-repair mechanisms
Validates critical class and method definitions to ensure agent compatibility
Smart fallback to proven agent code when novel approaches fail validation
Comprehensive benchmarking across functionality, memory usage, and error rates
See how academic insights translate into real evolutionary improvements
Research shows diverse agent populations prevent evolutionary stagnation and improve exploration of solution spaces.
SIA-1 Implementation: Maintains 64 unique agents with varied approaches, ensuring broad solution exploration.
Academic studies demonstrate that adaptive mutation rates based on performance feedback accelerate convergence.
SIA-1 Implementation: Adjusts evolution intensity based on success rates and performance plateaus.
Meta-learning research shows agents can optimize their own learning processes for faster adaptation.
SIA-1 Implementation: Agents evolve better learning strategies, improving future evolution cycles.
Watch your AI evolution unfold with professional analytics and insights
Real-time performance metrics, trend analysis, and evolution tracking with automatic 10-second refresh intervals.
Monitor every generation, track container status, view system health, and analyze improvement rates in one dashboard.
Docker container monitoring, database size tracking, system uptime, and comprehensive error logging.
Everything you need to run the future of AI evolution
Container orchestration platform
Core runtime environment
Tested with qwen3-coder-30b or openai/gpt-oss-20b
Completely private & local processing