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pi-memory

Manage persistent memory across sessions. Use when asked to remember, recall, forget, or review what was stored. Covers long-term facts (MEMORY.md), daily session logs, search, and memory housekeeping.

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包含的文件(1)

  • SKILL.md3.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

pi-memory — Persistent Memory

A file-based memory system that persists knowledge across sessions using plain Markdown.

Architecture

<base-path>/
├── MEMORY.md              # Long-term curated memory (facts, preferences, decisions)
└── memory/
    ├── 2026-02-11.md      # Daily log — append-only session notes
    ├── 2026-02-10.md
    └── ...
  • MEMORY.md — The "brain". Organized into ## Sections. Survives compaction. Editable in place.
  • memory/YYYY-MM-DD.md — Daily append-only logs. Timestamped entries. One file per day.

The base path defaults to cwd. Override with settings.json:

{ "pi-memory": { "path": "/path/to/memory/dir" } }

Tools

memory_read

Read memory contents.

targetdescription
long_termRead full MEMORY.md
dailyRead a specific date's log (default: today). Pass date: "YYYY-MM-DD" for other dates.
listList all available daily log files

memory_write

Write to memory.

targetdescription
dailyAppend a timestamped entry to today's log. Used for session notes, progress, decisions.
long_termUpdate MEMORY.md. Pass section to replace a specific ## Section, or omit to append.

Long-term memory sections — use section parameter to target:

memory_write target=long_term section="Preferences" content="- Prefers dark theme\n- Terminal-first tools"

This replaces the content under ## Preferences. If the section doesn't exist, it's created.

Daily log entries — auto-timestamped:

memory_write target=daily content="Completed the auth refactor. Using JWT with RS256."

Creates ### HH:MM entry in today's file.

memory_search

Full-text search across MEMORY.md and all daily logs.

memory_search query="JWT" limit=10

Returns matching lines with ±1 line of context, grouped by file.

When to Write Memory

Always write to long-term memory when:

  • User explicitly says "remember this", "save this", "note that..."
  • You learn a new preference, convention, or decision
  • A significant architectural or design choice is made
  • You discover something about the user's workflow or environment

Always write to daily log when:

  • Starting or completing significant work
  • Making key decisions during a task
  • Encountering and resolving blockers
  • At the end of a work session (summarize what was done + next steps)

Section organization for MEMORY.md

Keep MEMORY.md well-organized with clear sections:

# Long-Term Memory

## About [User]
- Key facts, role, location, interests

## Preferences
- Communication style, tool preferences, conventions

## Active Focus
- Current projects and priorities (update as they shift)

## Decisions & Conventions
- Coding conventions, workflow rules, architectural decisions

## People & Relationships
- Key contacts and collaborators

## Recurring Patterns
- Things frequently asked about or worked on

Memory Hygiene

Periodically review and clean up memory:

  1. Deduplicate — Check for repeated sections in MEMORY.md (use memory_read target=long_term)
  2. Archive stale info — Remove outdated decisions or completed project references
  3. Consolidate daily logs — Important patterns from daily logs should be promoted to MEMORY.md
  4. Keep sections focused — Each ## Section should have a clear purpose

System Prompt Injection

At each agent turn, the extension automatically injects into the system prompt:

  • Full MEMORY.md content
  • Yesterday's daily log (if exists)
  • Today's daily log (if exists)

This means the agent always has recent context without needing to call memory_read.

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