Camber Docs
Welcome to CamberCloud! The AI agent platform for data teams who need answers fast. Connect to any data source, analyze through conversations with AI agents, and scale compute on demand. Whether you’re analyzing business data or running simulations and bioinformatics pipelines, this documentation will guide you from your first analysis to building custom AI agents for your entire organization.
Getting Started
AI & Agents
Your AI interface for data science • Code generation • Job management
Build domain-specific AI experts trained on your data
Connect Snowflake, GitHub, S3, Google Drive, and more
Evolve and refine specialized AI agents from your conversations
Platform Features
Your cloud workspace for data and results
CPU and GPU configurations • Node sizes • Resource optimization
Shared workspaces • Collaborative agents • Usage tracking
Pre-built applications ready to run
Scientific Workflows
Variant calling, RNA-seq, methylation, and metagenomics
GROMACS and LAMMPS simulations
MESA stellar evolution and galaxy simulations
OpenFOAM and CFD workflows
Manage your data with Stash • Connecting Snowflake
Developer Tools
Installation • Stash commands • Job commands • App commands
HTTP MCP server • Claude Code • Cursor • Agent tools
camber.athena • camber.mesa • camber.mpi • camber.stash
Job attributes • Glossary • Python API docs