plori

Plori equipped each AI agent with its own dedicated hard drive. Each agent has an independent persistent environment, which allows files to be retained and tasks to be continued from one session to the next, rather than everything being reset at the end of each conversation.

The usage is as follows: You can attach it to your existing clients via MCP – whether it’s Claude Code, Codex, Cursor, or OpenClaw, it doesn’t matter. The official website provides a specific prompt that you can copy and paste directly. The configuration process basically consists of four steps: “reading the skill file, adding the server, pairing it in the browser, and listing the agents.”

Several verified use cases listed on the official website clearly illustrate its purpose: using Claude Code to handle tedious tasks such as writing quarterly reports, with the resulting output stored in the “work” directory in the cloud before being sent back; running Node services that automatically go into sleep mode and are reactivated only upon the first request; and collecting materials for product discussions on platforms like X and Reddit. All these are tasks that need to run continuously for an extended period of time, but for which users don’t want to constantly monitor them during that time.

Currently in Beta version, users can get a $1 credit to try it out without registration; after registering, the credit amount can be increased up to $20. This option is ideal for those who are already making extensive use of command-line interfaces and are encountering limitations due to their local environment or the length of relevant contexts.