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Gravix Layer is the first multi-agent native operating system designed for building and deploying autonomous AI applications. Built from the ground up for agentic workflows, it provides developers with a comprehensive platform that combines OpenAI-compatible APIs, native Python SDK, vector storage, persistent memory, fine-tuning capabilities, and distributed storage in a unified ecosystem for next-generation AI applications.
Public Preview: Gravix Layer is currently in public preview. Ongoing updates to API endpoints and models are happening, and it is available to try for free.

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Agent Native OS

Operating as a multi-agent AI operating system designed from the ground up for agentic workflows, the platform natively supports autonomous agents that can reason, plan, and execute complex tasks across distributed environments. Key Capabilities:
  • Agent Engine: Isolated execution environments for safe agent operations
  • Multi-Modal Intelligence: Seamless integration of text, vision, and code processing
  • Distributed Storage: Vectors, memory, and object storage working in harmony
  • Cloud-Native: Deploy across AWS, Azure, Google Cloud, or on-premises
Gravix Layer Agent OS Architecture

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Core Platform Components

AI Inference

Serverless and dedicated endpoints for chat, embeddings, vision, and function calling

Vectors

Serverless vector storage with similarity search for RAG and semantic applications

Files

Secure file upload and management for fine-tuning, vision, and batch processing

Deployments

Private GPU instances with guaranteed performance and resource isolation

Memory

Persistent context storage for conversations and long-term AI interactions

Fine Tuning

Customize models with your data for specialized use cases (Coming Soon)

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Supported Models

Access a curated selection of state-of-the-art language models from leading AI research organizations. All models are accessible through both OpenAI-compatible APIs and our native Python and JavaScript SDKs, optimized for production workloads with built-in safety measures and performance monitoring.

Text Models

Providers: Meta, Mistral, Qwen, DeepSeek

Vision Models

Providers: Google, Qwen

Embedding Models

Providers: BAAI, Nomic

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Capabilities

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SDK

Our official Python and JavaScript SDKs provide familiar, OpenAI-compatible interfaces for seamless integration with the Gravix Layer platform. Designed for both new projects and existing applications, they enable developers to leverage all platform capabilities with minimal code changes.

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Key Features

  • OpenAI-Compatible: Drop-in replacement for OpenAI Python client
  • Full Platform Support: Access to chat, embeddings, vectors, files, and deployments
  • Async/Await: Complete asynchronous operation support for scalable applications
  • Streaming: Real-time response streaming for chat and completions
  • CLI Tools: Command-line interface for rapid prototyping and automation
Learn more in our SDK Documentation and SDK Quickstart Guide.

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Deployments

Choose between serverless endpoints for quick prototyping or dedicated GPU instances for production workloads, with flexible scaling options to match your application needs.

Serverless

Pay-as-you-go endpoints with automatic scaling. Perfect for development and low-traffic applications.Rate limits: 25 RPM, 1000 RPD (Free Plan)

Dedicated

Private GPU instances for production workloads with guaranteed performance and enterprise SLAs.Features: Autoscaling, resource isolation

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Vectors

Serverless vector storage built for AI applications, providing scalable storage and lightning-fast similarity search for embeddings and semantic applications.
  • Index Management: Create indexes with configurable dimensions (1-2000) and similarity metrics (cosine, euclidean, dot product)
  • Vector Operations: Upsert, update, delete, and bulk operations
  • Search: Lightning-fast similarity search with metadata filtering
  • Text Integration: Generate embeddings directly from text using platform models

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Integrations

AI Frameworks

LangChain, LangGraph, CrewAI, PydanticAI

Workflow Tools

n8n automation platform

Databases

MongoDB, Pinecone vector database

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Use Cases

From intelligent chatbots to autonomous agents, Gravix Layer powers a wide range of AI applications across industries. Explore common implementation patterns and real-world applications.
  • RAG Systems
  • AI Agents
  • Multimodal Applications
Build knowledge bases that combine your documents with LLM reasoning for accurate, contextual responses.Common Applications:
  • Customer support chatbots
  • Internal knowledge management
  • Document Q&A systems
  • Research assistants

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Getting Started

1

Get API Key

Sign up at platform.gravixlayer.com for free access during public preview
2

Choose Your Model

Browse available models and select based on your performance and context requirements
3

Make API Calls

Use OpenAI-compatible endpoints or our native Python and JavaScript SDKs to start building

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Next Steps

Quick Start Guide

Complete setup and authentication walkthrough

Python & JavaScript SDKs

Native SDKs for Python and JavaScript to get started

API Documentation

Detailed endpoints and capabilities reference

API Cookbooks

Ready-to-run examples for common use cases

Demo Applications

Explore live applications built on the platform

Guides & Tutorials

In-depth tutorials for RAG, agents, etc
Ready to build? Start with our Quick Start Guide or explore our API documentation for detailed endpoints and capabilities.
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