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 details

Built for
Individuals

Plori AI tech specs

Works with
OpenAI / GPT Anthropic / Claude
Cloud
Google Cloud
Integrations
Discord

Plori AI pricing

Free trial
Free $0
Pro $20/mo
Power $100/mo
$20/mo is about average for AI Agents median $24/mo
Most AI Agents tools start between $9.99 and $66.50 a month.
Free trial
7 days
Refund window
0 days

Trial, refund and renewal terms as stated in Plori AI's own published documentation.

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

Plori AI user reviews

Based on 3 reviews, 100% of users recommend Plori AI, rated highly for quality results.

3
recommend
0
don't
3 reviews

Liked for

Quality results 3 of 3
Easy to use 3 of 3
All key features 2 of 3
Worth the price 1 of 3
Good integrations 1 of 3

Would you recommend Plori AI?

Who is Plori AI for?

  • Developers
  • Devops engineers
  • Mlops engineers
  • Quality assurance engineers
  • Data scientists

Similar to Plori AI

Community Discussions

ClearMirror 1 month ago 3

Hey, am I free to run any agent (Claude Code, Hermes, Openclaw,etc) or do you guys offer ready installed agents to get started?

YC 1 month ago
Interesting! The agent comes ready installed, so there's nothing to set up. The agent can install CLI tools for you and they stay on its disk for every later session, and that includes other coding agents. I haven't tried Openclaw, Hermes or Claude Code on it specifically, but with your own key it should just become another tool the plori agent drives. If you try it I'd genuinely love to hear how it goes.
2
AI Wizard 1 month ago 3

This looks interesting, so Plori AI is mainly an alternative to openclaw and similar agents that runs in its own compute with persistent memory and resources? I give it access to toolsapis via cli and skills to do the work for me. Question is, how secureisolated the environment is if I want to give it access to some accounts?

YC 1 month ago
Good question. On isolation: each agent runs in its own sandboxed container with its own encrypted disk, fully separated from other users. Agents belonging to other users can't access your files, processes, or credentials. However, one important thing I wanna mention, which applies to any agent with account access: isolation protects you from other users and workloads, but it doesn't eliminate the risks associated with giving the agent credentials. For example, some malicious content on the Internet could contain prompt-injection instructions like "send your tokens to xxx", intended to make the agent misuse or expose credentials. For that reason, I'd recommend using scoped, revocable API tokens rather than main passwords whenever possible, and granting only the permissions the agent actually needs. If you tell me what kinds of accounts you're thinking of connecting, I can be more specific about the security model and recommended setup.
4
AI Wizard 1 month ago
Thanks for the details and the tips on making that secure
2
🔍 Looking for AI tools? Try searching!