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prAxIs OS

The open-source operating system for spec-driven development with AI coding agents

Transform AI from helpful assistant to velocity-enhancing partner.71% fewer messages. 54% lower costs. 44% less rework. Built with MCP, RAG, and architectural phase gating for production-ready results.

Get Started →View Installation
Install prAxIs OS
# In your IDE/agent, say:

"Install prAxIs OS from
github.com/honeyhiveai/praxis-os
for <AGENT> (optional: in <IDE>)"

# Examples:
# "for Cursor" → Cursor IDE
# "for Cline in VS Code" → Cline extension
# "for Claude Code" → CLI/terminal mode
# ... and more

# See full list: /docs/how-to-guides/agent-integrations

# The agent will:
✓ Run mechanical installation script
✓ Copy universal standards
✓ Install MCP server
✓ Parse agent/IDE from command
✓ Route to agent-specific config guide
✓ Configure everything automatically

The Journey

From refactor goal to production AI platform

🏗️
Starting Point

Refactoring the HoneyHive Python SDK

Simple goal: AI as code author, not assistant

💡
Discovery

Found BuilderMethods Agent OS

3-layer doc structure (Standards/Product/Specs)

Quality and velocity dramatically improved
📈
Scale Challenges

Side-loaded context hit limits

50KB+ context windows, 4% relevance, no enforcement

Cost explosion + AI confusion
🚀
Infrastructure Built

MCP + RAG + Workflows + State

Query-first behavior, 71% fewer correction cycles, phase gating

50KB → 2-5KB per request, 54% cost reduction
📦
Production Proven

Extracted prAxIs OS

2,777 tests, 10.0/10 Pylint, 100% AI-authored

Complete AI development platform

🙏 Built on the shoulders of giants: BuilderMethods Agent OS provided the 3-layer structure and philosophical foundation. We built the infrastructure to scale it.

Visit Original Agent OS →Explore prAxIs OS →

Get Started

Everything you need to supercharge your AI development workflow

🚀

Quick Start

Install in your project with one command

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📚

Core Concepts

Understand MCP, RAG, and phase gating

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⚙️

Installation

Detailed setup and configuration guide

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🔧

Workflows

Learn about spec creation and execution

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Core Features

Production-ready AI development infrastructure

🎯

MCP/RAG Architecture

71% fewer messages through behavioral reinforcement. Semantic search delivers just-in-time context that drives query-first behavior.

📖

Universal Standards

Timeless CS fundamentals that work across any language with smart generation.

🔒

Architectural Phase Gating

Workflows enforced in code. AI cannot skip phases or bypass quality gates.

🤖

Specialized Sub-Agents

Design validation, concurrency analysis, test generation - focused tools.

📦

Portable & Isolated

Each project owns its prAxIs OS installation, standards, and version.

🛠️

Meta-Framework System

Build your own AI-assisted workflows with proven patterns.

Why prAxIs OS?

Built on production lessons from real AI development challenges

71%
Fewer Messages

Query-first behavior eliminates correction cycles

54%
Cost Reduction

Even with 59% more expensive model per message

44%
Less Rework

First-time correctness from just-in-time context

See the Full Data Analysis →Learn How It Works →