← Meshia

Documentation

How to use Meshia, from launching your first GPU session to building autonomous research workflows.

New to Meshia?
Start with the step-by-step tutorial. It walks you from sign-in to a completed training run in about 8 minutes. Or press ⌘K anywhere in the app to find what you need.

Getting started

Tutorial: Your first experiment
Step-by-step walkthrough from sign-in to a completed training run. ~8 minutes.
Your first session
Sign in, pick a GPU, and chat with your agent in under 3 minutes.
The workspace
File explorer, terminal, GPU monitor, and experiments in one view.
SSH access
Connect from your own terminal with the SSH panel.

Core concepts

Agent roles
Hire a Researcher, Coder, Reviewer, Data, or Ops agent for your session.
Experiments
Track training runs with live metrics, compare results, reproduce configs.
Research plans
Let the agent build a hypothesis tree and execute experiments autonomously.
Canvas
A free-form surface where agents place charts, code, notes, and diagrams.
Workflows
Build multi-step DAGs of agent tasks and run them on a schedule.

Integrations

GitHub
Connect your repo. Agents branch, commit, and open PRs with safety rails.
Webhooks
Get notified when experiments finish or goals are reached.
Email notifications
Meshia emails you when training completes overnight.

Platform

Billing and plans
Trial ($0, 1 concurrent session) and Pro ($500/mo, persistent workspaces and 3 concurrent sessions).
Agent memory
Your agent remembers context across sessions: preferences, findings, goals.
Multi-chat
Split your chat into multiple panes, each driving a different agent.
Keyboard shortcuts
Press ? anywhere to see every shortcut. Press ⌘K for the command palette.

Reference

GPU catalog
RTX 4090, RTX 5090, A6000, A100, H100, H200. Specs and pricing.
Agent tools
55 tools the in-pod agent can use: bash, python, file ops, git, experiments, UI rendering, and more.
API reference
REST endpoints for sessions, experiments, webhooks, artifacts, and more.
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