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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

IOWarp Architecture

LayerNamePurpose
IntelligenceCLIO AgentAutonomous agents for scientific data management, multi-agent coordination
ToolingCLIO Kit15+ MCP servers with 150+ tools for scientific computing
StorageCLIO CoreFour 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

RepositoryDescriptionInstall
iowarpCore platform (CLIO Core engines, Hermes, Chimaera)pip install iowarp
clio-kit15+ MCP servers and 150+ agent toolsuvx clio-kit mcp-servers
clio-agentCLIO Agent frameworkpip install clio-agent
docsTechnical documentationdocs.iowarp.ai

Documentation

ResourceURL
Platform Overviewiowarp.ai/platform
Getting Starteddocs.iowarp.ai/docs/getting-started
MCP Servers Referencedocs.iowarp.ai/docs/agent-toolkit/mcp
CLIO Kit Showcasetoolkit.iowarp.ai
SDK Referencedocs.iowarp.ai/docs/sdk
Full Documentationdocs.iowarp.ai

Community

ChannelPurpose
Zulip ChatReal-time discussions and support
GitHub IssuesBug reports and feature requests
WebsiteProject 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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