memory-share

name	memory-share
description	Share project auto memory over LAN or relay
user-invocable	true
arguments	[{"name":"passphrase","description":"Shared passphrase for encryption (required)","required":true},{"name":"--raw","description":"Send memory files as-is without distillation","required":false},{"name":"--relay","description":"Use WebSocket relay server for remote sharing","required":false}]

Memory Share

You are sharing the project's Claude Code auto memory with another machine or person.

There are two modes: distilled (default) and raw (--raw).

Distilled Mode (default)

Step 1: Read memory files

Read all files from your auto memory directory (~/.claude/projects/<project>/memory/):

• MEMORY.md (always present)
• Any additional topic files (debugging.md, patterns.md, etc.)

Step 2: Distill the memory

Analyze all memory files and produce a single, well-organized Markdown document:

# Project Memory Distillation

## Project Overview
(Brief description of the project based on accumulated memory)

## Key Patterns & Conventions
- (coding conventions, architectural patterns, etc.)

## Important File Paths
- (critical files and their roles)

## Debugging Insights
- (known issues, solutions, workarounds)

## Workflow Preferences
- (user preferences for tools, testing, deployment)

## Architecture Notes
- (key architectural decisions and their rationale)

Consolidate, deduplicate, and organize the information clearly. Remove session-specific noise and keep only stable, reusable knowledge.

Write the distilled memory to ${CLAUDE_PLUGIN_ROOT}/.tmp/claude-memory-payload.md.

Step 3: Start the sharing server

python3 ${CLAUDE_PLUGIN_ROOT}/scripts/serve.py "{{passphrase}}" ${CLAUDE_PLUGIN_ROOT}/.tmp/claude-memory-payload.md

Tell the user:

• Instruct the receiver to run: /claude-spread:memory-receive {{passphrase}}
• The server stays open for multiple receivers until Ctrl+C

Raw Mode (--raw)

Step 1: Bundle memory files

python3 ${CLAUDE_PLUGIN_ROOT}/skills/memory-share/scripts/bundle.py ${CLAUDE_PLUGIN_ROOT}/.tmp/claude-memory-payload.json

This bundles all .md files from the auto memory directory into a JSON file.

Step 2: Start the sharing server

python3 ${CLAUDE_PLUGIN_ROOT}/scripts/serve.py "{{passphrase}}" ${CLAUDE_PLUGIN_ROOT}/.tmp/claude-memory-payload.json

Tell the user:

• Instruct the receiver to run: /claude-spread:memory-receive {{passphrase}}
• The server stays open for multiple receivers until Ctrl+C

Relay Mode (Remote Sharing)

If the user passes --relay, add the --relay flag to the serve.py command:

python3 ${CLAUDE_PLUGIN_ROOT}/scripts/serve.py --relay "{{passphrase}}" ${CLAUDE_PLUGIN_ROOT}/.tmp/claude-memory-payload.md

Tell the user:

• The room code shown in the output
• Instruct the receiver to run: /claude-spread:memory-receive --relay --room <room_code> {{passphrase}}
• Requires pip install websockets if not already installed