ROSTR is grounded in peer-reviewed research and deployed in production systems processing millions of tasks daily.
A comprehensive framework for production multi-agent AI systems. Covers PAL (Prompt Abstraction), NPAO (orchestration), RAG DAL (retrieval), and Hub (persistent memory).
Read Paper on Zenodo →Evaluated across 200 tasks, 8 domains. Same model (Sonnet 4-6), same temperature, same tools.
A complete framework that transforms raw prompts into structured, accountable, continuously-improving agent systems.
Transforms natural language into strictly-typed AgentManifests. Intent extraction → context injection → semantic enhancement → compilation → routing. The first step toward intelligence.
Navigate, Prioritize, Allocate, Orchestrate. Classifies tasks into 5D phases, computes priority via formula, allocates agents, executes task graphs. Deterministic execution with human-in-the-loop.
Dynamic Acquisition Layer. Multi-pass retrieval with 3-tier source credibility, gap analysis, contradiction detection. Converges at 0.8 confidence. Real retrieval, not simulation.
Multi-level state management (session → project → org → agent). Stores decisions, learnings, execution history. Knowledge compounds across sessions. The agent OS.
Production-grade skills across GTM, development, content, data, automation, and operations. Generalized, LLM-agnostic, MIT licensed.
Clay Prospecting, Agent Factory, GTM Architect, JTBD Builder, Use Case Builder, Asana Organizer, Video Builder, GTM Insider Report.
PAL Compiler, Context Engine, ROSTR Builder, Prompt Rewriter, n8n Engineer, Workflow Architect, Execution Analyst, CSV Router.
Video Editor (HyperFrames), Video Studio, Case Study Builder, Project Instructions, Session Recap, Project Handoff.
HubSpot Analyst, Dashboard Builder, Token Spend Analyzer, Clay Credit Estimator, CSV Enricher, Credit Calculator.
Workflow Builder, n8n Architect, Execution Analyst, CSV Router, Executive Assistant, File Organizer.
SaaS Architect, Product Builder, Project Closeout, Handoff Builder, New Project System, Instructions Builder.
Evaluated against vanilla Hermes across 200 diverse tasks. Same model, temperature, and tools. Only variable: ROSTR structure.
| Metric | Hermes (baseline) | ROSTR Agent | Delta |
|---|---|---|---|
| Task Completion Rate | 68% | 91% | +23pp |
| First-Attempt Accuracy | 54% | 82% | +28pp |
| Context Utilization | 41% | 89% | +48pp |
| Multi-Step Coherence | 62% | 87% | +25pp |
| Knowledge Retention (cross-session) | 12% | 94% | +82pp |
| Decision Quality (expert rated) | 6.2/10 | 8.4/10 | +2.2 |
| Avg Tokens per Completed Task | 4,200 | 2,800 | -33% |
Evaluation: 200 tasks across 8 domains (code, research, ops, design, sales, content, deploy, debug). Same model (claude-sonnet-4-6), same temperature (0.7), same tools. Only variable: ROSTR intelligence layer.
Deploy ROSTR locally, to AWS, or use Vercel. Free and open source. MIT licensed. No vendor lock-in.