ROSTR: A Unified Architecture for Production-Grade Multi-Agent Systems — Framework Papers and Agent Quick Start Guide
ROSTR: A Unified Architecture for Production-Grade Multi-Agent Systems — Framework Papers and Agent Quick Start Guide
The ROSTR (Runtime, Orchestration, State, Tools, Reference) framework is a modular agent operating system comprising five components: PAL (Prompt Abstraction Layer) — a five-stage compiler that transforms natural language intent into structured agent runtime manifests; RAG DAL (Dynamic Acquisition Layer) — autonomous multi-pass retrieval with three-tier source credibility scoring; NPAO (Necessity, Priority, Anxiety, Opportunity) — a human-aligned task classification and sequencing framework paired with the 4Ds Lifecycle phase engine; Rostr Hub — a persistent, multi-namespace shared knowledge architecture; and ContextEngine — a zero-infrastructure flat-file session memory layer. This deposit contains the ROSTR Master Paper, five individual component papers, and the ROSTR Agent Quick Start Guide for Claude Code and OpenClaw deployments.
session memory, prompt engineering, retrieval-augmented generation, PAL, agent orchestration, AI systems, multi-agent systems, knowledge management, task prioritization, NPAO
session memory, prompt engineering, retrieval-augmented generation, PAL, agent orchestration, AI systems, multi-agent systems, knowledge management, task prioritization, NPAO
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