Store and organize peer representations, observations, conclusions, and summaries across global and project scopes.
npx skills add https://github.com/0xKobold/0xkobolds --skill pi-learn
Please help me install this Agent Skill. Skill: pi-learn Source: https://github.com/0xKobold/0xkobolds/tree/main/packages/pi-learn Command: npx skills add https://github.com/0xKobold/0xkobolds --skill pi-learn
pi-learn provides a robust memory infrastructure for pi agents, enabling persistent memory, peer representations, and contextual reasoning across multiple sessions and projects.
Install pi-learn into your pi workflow and start the extension to enable persistent agent memory across projects.
High-intent search queries and answers about installing and using this skill.
You add persistent memory by implementing a hybrid memory store that saves observations, conclusions, and peer representations across global and project scopes, maintaining context across multiple sessions.
Hybrid memory architecture separates agent memory into global scopes for user traits and project scopes for local patterns. It supports context assembly, reasoning, and retention policies to manage data lifecycle and privacy across workspaces.
Agents maintain context by storing peer representations and summaries in a memory infrastructure that applies previous observations to current reasoning tasks across different sessions and projects.
Yes, you can manage data privacy by applying retention and pruning policies to control the data lifecycle, organizing what observations and conclusions persist across different workspaces.
The dreaming mechanism is a memory infrastructure feature that processes stored observations and conclusions to generate creative insights, operating alongside context assembly to support advanced reasoning.
Yes, pi-learn operates without external dependencies, providing tools, context assembly, and retention policies directly within your agent workflow to enable persistent memory.
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