What is Kiah?

Kiah is an advanced autonomous AI system designed to operate continuously, learn from experience, and improve itself without constant human oversight. Built with modern AI technologies and over 70 integrated modules, Kiah represents a step toward truly autonomous artificial intelligence.

Core Architecture

At its heart, Kiah is built on several key components:

  • Knowledge Base: Over 96,000 files containing diverse information from technical documentation to Wikipedia content
  • FAISS Vector Search: Semantic search across 45 million+ chunks of information
  • Local LLM Integration: Uses Ollama with Codestral for on-device AI processing
  • Module System: 70+ specialized modules for different tasks

Key Capabilities

1. Autonomous Operation

Kiah runs continuously through systemd services, executing over 43,000 optimization cycles per day. The AI orchestrator manages task scheduling, priority queuing, and resource allocation automatically.

2. Self-Improvement

Through the LLM Improver module, Kiah can analyze its own code, identify areas for optimization, and propose improvements. The system includes validation layers to ensure changes don't break functionality.

3. Knowledge Search

The knowledge base uses FAISS for semantic search, allowing Kiah to find relevant information even when exact keywords don't match. This enables more intelligent responses and better context understanding.

4. Tool Execution

Kiah can execute bash commands, read/write files, search codebases, and interact with various APIs. This allows it to actually perform tasks rather than just provide suggestions.

Real-World Applications

Kiah powers several practical applications:

  • Content Generation: Automated blog posts and social media updates
  • System Monitoring: Continuous health checks and automated fixes
  • Trading Bot: AI-powered trading signals with risk management
  • Knowledge Enhancement: Automatic organization and indexing of information

Technical Stack

  • Language: Python 3.10+
  • LLM: Ollama (Codestral 22B)
  • Vector Search: FAISS with sentence-transformers
  • Database: SQLite for task management
  • Infrastructure: systemd services, Redis, Linux

Current Status

As of December 2025, Kiah maintains:

  • 100% test pass rate across all test suites
  • 23 out of 71 modules fully integrated (32.4%)
  • 43,937 optimization cycles per day
  • 103,372 files in knowledge base
  • 100% uptime in 30-minute stability tests

What's Next?

Future developments include:

  • Multi-agent collaboration systems
  • Reinforcement learning integration
  • Enhanced natural language capabilities
  • Expanded module integration

Learn More

Interested in the technical details? Check out our Projects page to learn about SPEC compression and other innovative features, or visit the homepage to see live system stats.