Manage persistent memory across AI sessions with file-based storage.
npx skills add https://github.com/espennilsen/pi --skill pi-memory
Please help me install this Agent Skill. Skill: pi-memory Source: https://github.com/espennilsen/pi/tree/main/extensions/pi-memory/skills/pi-memory Command: npx skills add https://github.com/espennilsen/pi --skill pi-memory
This Skill provides a persistent memory system, allowing the AI to recall past information, user preferences, and session details across different interactions, preventing repetitive questions and ensuring continuity.
MEMORY.md.pi-memory to store this preference and apply it to future code generation tasks without needing to be reminded.Use the pi-memory skill to write "Completed the user authentication module." to the daily log.
High-intent search queries and answers about installing and using this skill.
You can give an AI persistent memory across sessions by using a file-based system that stores long-term facts in MEMORY.md. This allows the agent to retain context and recall user preferences without repetitive questions.
The best way to retain session context is to append daily notes to timestamped files and curated facts to a central markdown file. This enables full-text search and knowledge persistence across interactions.
To store user preferences for later recall, write them to a long-term memory markdown file. The AI can then search this file to apply your preferences to future tasks automatically.
Yes, you can search past session logs and memory files. The system provides full-text search capabilities across all stored daily logs and the main long-term memory file.
No, pi-memory does not require external databases to manage knowledge. It uses a lightweight file-based system to store memory content directly in markdown files.
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