Praxis, derived from the Greek for 'the practice of doing,' is a revolutionary filesystem-based methodology designed to overcome the inherent limitations of AI agents, such as forgetfulness and lack of structured workflow. It bridges the gap between AI knowledge and action by providing a robust framework for persistent memory, traceable work, and structured context. By replacing ephemeral prompts with standardized 'Work Orders,' Praxis enables clear task definition, multi-agent orchestration, and a continuous development lifecycle, ensuring accountability and preventing context drift across sessions without relying on databases or SaaS platforms.
Key Features
01Provider-Agnostic Integration
020 GitHub stars
03Multi-Agent Orchestration (Triangle Pattern)
04Filesystem-Based Methodology
05Context Chain for AI Memory and Handoff
06Persistent Work Orders for Task Management
