zejzl.net
Multi-Agent AI Orchestration Framework
zejzlAI Framework
9-Agent Pantheon Orchestration System
An async message bus AI framework that orchestrates multiple AI models through a specialized 9-agent system for complex task decomposition, execution, validation, and continuous learning.
📊 Live System Status
Real-time metrics and performance indicators from the zejzlAI framework.
Performance
Test Suite
🤖 9-Agent Pantheon
Each agent is specialized for a specific aspect of AI task orchestration, working together through an async message bus.
Pantheon
Coordinates all agents, manages message bus, handles complex task routing
Orchestrator
Breaks down complex tasks into actionable sub-tasks
Reasoner
Analyzes problems, generates solutions, handles abstract reasoning
Memory
Maintains conversation history, retrieves relevant context
Analyzer
Processes data, identifies patterns, generates insights
Improver
Refines outputs, optimizes results, suggests improvements
Validator
Verifies accuracy, checks constraints, ensures quality
Learner
Extracts lessons, updates knowledge base, enables continuous improvement
Executor
Executes tasks, interfaces with external systems, delivers results
🚀 Quick Start
Get started with zejzlAI in minutes. Choose your installation method.
pip install
Fastest way to get started. Installs from PyPI.
pip install zejzlaigit clone
For development or to contribute to the project.
git clone https://github.com/zejzl/zejzlAI.git
cd zejzlAI
pip install -e .Next Steps
export OPENAI_API_KEY="your-key"Set up your AI provider credentials
python examples/simple_task.pyTry a basic agent orchestration
✨ Key Features
Async Message Bus
High-performance async communication between agents with 408K+ msg/sec throughput
Multi-Provider Support
Integrates Claude, GPT-4, Gemini, Grok, and more with automatic fallbacks
Task Decomposition
Automatically breaks complex tasks into manageable subtasks
Self-Healing Magic
Automatic error recovery and task retry with exponential backoff
Real-Time Monitoring
Live performance metrics, agent health checks, and system diagnostics
Continuous Learning
Agents learn from interactions, improving performance over time