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IOWarp

Solving data bottlenecks using AI to accelerate scientific workflows.

IOWarp — Context Engineering for Autonomous AI Agents

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IOWarp is an NSF-funded ($5M, Award #2411318) open-source context engineering platform enabling autonomous AI agents to orchestrate petabyte-scale scientific discovery.

CLIO (Context Layer for IO) is the software platform — transforming scattered data, metadata, telemetry, and computational state into unified, actionable intelligence for AI agents.


Three-Layer Architecture

graph TB
    subgraph Intelligence["Intelligence Layer"]
        direction LR
        subgraph ExtAgents["External Agents"]
            CC[Claude Code]
            GC[Gemini CLI]
            OC[OpenCode]
        end
        subgraph CLIOAgent["CLIO Agent"]
            CA["Agent SDK"]
        end
    end

    subgraph Tooling["Tooling Layer"]
        direction LR
        subgraph CLIOKit["CLIO Kit"]
            MCP[MCP Servers]
            SK[Skills]
            PL[Plugins]
        end
    end

    subgraph Storage["Storage Layer — CLIO Core"]
        subgraph Engines["Four Context Engines"]
            direction LR
            Ingest["CLIO Ingest"]
            Transfer["CLIO Transfer"]
            Explore["CLIO Explore"]
            Plugin["CLIO Plugin"]
        end
        subgraph Infra["Infrastructure"]
            direction LR
            RT["Chimaera Runtime"]
            CTP["Hermes SHM"]
        end
    end

    ExtAgents <--> CLIOKit
    CLIOAgent <--> CLIOKit
    CLIOAgent -.->|direct| Engines
    CLIOKit <--> Engines
    Engines <--> Infra
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Layer Name Purpose
Intelligence CLIO Agent Autonomous agents for scientific data management, multi-agent coordination
Tooling CLIO Kit 15+ MCP servers with 150+ tools for scientific computing
Storage CLIO Core Four context engines for multi-tier data orchestration (GPU HBM to tape)

Four Core Engines

  • CLIO Ingest — "The Way In" — ingests 14+ scientific formats (HDF5, NetCDF, Zarr, ROOT, FITS)
  • CLIO Transfer — "The Mover" — ML-based predictive data movement across storage tiers
  • CLIO Explore — "The Finder" — natural language queries at petabyte scale
  • CLIO Plugin — "The Connector" — HPC scheduler, storage, and instrument integration

Key Metrics

  • 7.5x faster scientific workflows
  • 2.6x DRAM reduction
  • 150+ agent tools via MCP
  • 25+ peer-reviewed publications
  • 2 Best Paper Awards (SC, HPDC)
  • Deployed at 3+ national labs (LLNL, ANL, NERSC)

Getting Started

Repository Description Install
iowarp Core platform (CLIO Core engines, Hermes, Chimaera) pip install iowarp
clio-kit 15+ MCP servers and 150+ agent tools uvx clio-kit mcp-servers
clio-agent CLIO Agent framework pip install clio-agent
docs Technical documentation docs.iowarp.ai

Documentation

Resource URL
Platform Overview iowarp.ai/platform
Getting Started docs.iowarp.ai/docs/getting-started
MCP Servers Reference docs.iowarp.ai/docs/agent-toolkit/mcp
CLIO Kit Showcase toolkit.iowarp.ai
SDK Reference docs.iowarp.ai/docs/sdk
Full Documentation docs.iowarp.ai

Community

Channel Purpose
Zulip Chat Real-time discussions and support
GitHub Issues Bug reports and feature requests
Website Project information and updates

Contributing

We welcome contributions across all repositories. See individual CONTRIBUTING.md files for guidelines.

Development workflow:

  1. Fork the relevant repository
  2. Create a feature branch
  3. Follow coding standards (Google C++ Style Guide for C++, PEP 8 for Python)
  4. Submit a pull request with tests

Team

Built by Gnosis Research Center at Illinois Institute of Technology, with University of Utah and The HDF Group.


License

All IOWarp repositories are licensed under the BSD 3-Clause License.

Copyright (c) 2024-2026, Gnosis Research Center, Illinois Institute of Technology


Gnosis Research Center · iowarp.ai · docs.iowarp.ai · toolkit.iowarp.ai · GitHub

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