What is Plori AI?

Plori provides a cloud AI agent computer that runs persistent agent instances with disk, shell, and installable tools.Agents access a browser and terminal, retain disk state and long-term memory, and resume work across sessions.

A CLI and MCP API endpoint enable terminal-driven workflows, model integration, and programmatic automation.Workflows support scheduled runs, background tasks, webhooks, and unattended execution of test suites or migrations.

Agents can publish a served directory as a site, run in isolated environments, and use account-scoped storage when needed.Plori targets developers, ML engineers, and teams needing hosted AI agents, reproducible development environments, automated agent-driven workflows, and model integration.

Plori AI pricing Free trial

Free $0

Pro $20/mo

Power $100/mo

Verify on the official pricing page.

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Plori AI's key features

Persistent agent instances with disk, shell, and installable tools
Browser and terminal access for agents
Retained disk state and long-term memory with cross-session resume
CLI and MCP API for terminal-driven workflows, model integration, and automation
Workflows supporting scheduled runs, background tasks, webhooks, and unattended execution

Plori AI use cases

Create reproducible, resumable development environments with Plori's persistent cloud agents, using disk, shell and browser access to run long-running experiments or training jobs, resume sessions later, schedule unattended workflows, and serve models and logs via served directories for team collaboration
Automate end-to-end ML pipelines and CI/CD by orchestrating CLI/API-driven Plori agents to fetch data, run preprocessing and training in isolated execution, persist artifacts to disk, use long-term memory to track dataset and config versions, and schedule background retraining or evaluation
Set up autonomous developer assistants to handle routine engineering tasks—use Plori agents as terminal-driven bots to run tests, reproduce bugs in isolated environments, collect debugging artifacts to served directories, and retain contextual long-term memory to recall past issues and resolutions

Who is it for?

Developers
Devops engineers
Mlops engineers
Quality assurance engineers
Data scientists