Paramus Chemistry OS
A platform for computational chemistry, AI models, laboratory automation, and semantic data management.
Paramus Chemistry OS brings four integrated modules onto a single local Windows machine: an AI copilot for chemistry (INTENT), a semantic knowledge graph (WORLD), an AI model and HPC server (BRAIN), and a robotic orchestration platform (OPERATE). Everything runs on-premise with full data ownership.
A subset of functionality is also available via Paramus Cloud, though the full OS requires local hardware and MS Windows for demanding simulations and model inference.
Download
Paramus Chemistry OS installer for Windows. Free tier available for universities and startups.
Four Modules
Paramus Chemistry OS consists of four integrated modules that work together as a unified platform. Each module can also be downloaded and licensed independently.
INTENT
AI-Powered Chemistry Copilot
Large language models are excellent at explaining science, but they do not do science on their own. INTENT grounds LLMs in real calculations and models, turning plausible text into validated results. It connects OpenAI, Claude, and local LLMs to the full Paramus computation stack.
Key Features
- Multi-LLM support: OpenAI, Claude, local models
- Grounded in computation, not just language
- Direct access to BRAIN models and WORLD context
- Chemistry-aware prompt routing
WORLD
Semantic Information Server
A LLM-driven physical objects representation store based on a knowledge graph. WORLD learns and updates itself from information sources and text, autonomously modeling complex relationships between people, substances, equipment, and locations to provide semantic context to LLMs.
Key Features
- RDF knowledge graph with SPARQL queries
- One-click dataset installation
- Autonomous entity extraction from text and email
- JSON-RPC API with JWT authentication
BRAIN
AI Models and High Performance Server
Plugin architecture for AI chemistry models (Gen3 deep learning and Gen4 LLMs), including AIMNet2, MatterSim, and MatterGen. Provides a model router for intelligent request routing and load balancing, plus HPC application hosting for LAMMPS, ORCA, and 40+ scientific computing tools.
Key Features
- AI models: AIMNet2, MatterSim, MatterGen, ORB
- HPC: LAMMPS, ORCA, GROMACS, NWChem, CP2K
- Model router with load balancing
- CUDA GPU acceleration support
OPERATE
Robotic Platform Server
Robotic orchestration platform for modern chemistry research. Integrates robotic liquid handlers, analytical instruments, and data acquisition systems through a unified JSON-RPC API with ISA-88 batch control standards for full traceability and regulatory compliance.
Key Features
- ISA-88 batch control with S88-light recipes
- 123 API methods for full programmatic control
- Opentrons OT-2 and MQTT sensor support
- Automated batch records and audit trails
How They Work Together
- INTENT receives a research question and routes it to the right computation backend.
- BRAIN executes AI models (AIMNet2, MatterSim) and HPC applications (ORCA, LAMMPS) and returns results.
- WORLD stores entities, relationships, and datasets in a knowledge graph, providing semantic context.
- OPERATE drives robotic instruments and captures experimental data with ISA-88 batch records.
System Requirements
- OS: Windows 10/11 (64-bit)
- RAM: 16 GB minimum, 32 GB recommended
- Storage: 50 GB free disk space
- Network: Internet for initial download and updates
- GPU: NVIDIA CUDA-capable (optional, for BRAIN)
- Deployment: Installer
Build-in license management
To procect interlectual property (IP) for vendors:
Get Started
Free tier available for universities and startups. Visit the individual module pages for detailed pricing.
FAQ
Four integrated modules: INTENT (AI copilot), WORLD (semantic knowledge graph), BRAIN (HPC/AI computation server with 37 engines), and OPERATE (laboratory robotics orchestration).
No. All computation, AI models, and knowledge graph operations run locally on Windows. Internet is only needed for optional cloud sync and dataset downloads.
1,200+ chemistry tools accessible via the Model Context Protocol, covering molecular structure, property prediction, quantum chemistry, machine learning, knowledge graphs, laboratory control, and dataset management.
Claude Desktop, VS Code with GitHub Copilot, Cursor, and any client supporting the Model Context Protocol (MCP) standard.
Windows 10 or 11, 8 GB RAM minimum (16 GB recommended for molecular dynamics), 10 GB disk space. No GPU required. All AI models and HPC engines run on CPU.