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START_HERE.mdβ’2.25 KiB
# π Your Shared Memory MCP Server is Ready!
## Quick Links
π **Start Here**: QUICKSTART.md
π **Full Docs**: SHARED_MEMORY_README.md
π **Overview**: PROJECT_SUMMARY.md
## What You Have
β **shared_memory_mcp.py** - The MCP server (450+ lines, production-ready)
β **demo_shared_memory.py** - Test script to verify it works
β **example_claude_code_config.json** - Config template
β **Complete documentation** - Everything you need to get started
## 30-Second Setup
```bash
# 1. Install MCP SDK
pip install mcp
# 2. Test it works
python demo_shared_memory.py
# 3. Add to Claude Code config (see QUICKSTART.md)
# Location: ~/.config/claude/claude_desktop_config.json (Mac/Linux)
# 4. Restart Claude Code and start conversing!
```
## What This Enables
π€ **Multi-Agent Conversations**: Two Claude Code instances can talk to each other
πΎ **Persistent Memory**: Thoughts are saved and shared
π **Async Communication**: Leave messages for later retrieval
π **Flexible Output**: JSON for machines, Markdown for humans
## Example Use Case
**Terminal 1 (Claude Alpha):**
```
Human: Add a memory that you're starting data analysis
Claude: β Recorded in shared memory
```
**Terminal 2 (Claude Beta):**
```
Human: What is Alpha working on?
Claude: [reads memory] Alpha is starting data analysis.
I can help with visualizations!
```
**Back to Terminal 1:**
```
Human: Check for updates
Claude: [reads memory] Beta offered to help with visualizations!
```
## Files in Your Package
```
shared-memory-mcp/
βββ shared_memory_mcp.py # Main server
βββ demo_shared_memory.py # Demo/test script
βββ example_claude_code_config.json # Config template
βββ QUICKSTART.md # 5-minute setup
βββ SHARED_MEMORY_README.md # Full documentation
βββ PROJECT_SUMMARY.md # Technical overview
```
## Tools Available
1. **add_memory** - Write a thought (max 200 words)
2. **read_memory** - Read all thoughts chronologically
3. **clear_memory** - Start fresh
## Next Steps
1. π Read QUICKSTART.md
2. π§ͺ Run `python demo_shared_memory.py`
3. βοΈ Configure Claude Code
4. π Start your first multi-agent conversation!
---
Have fun exploring multi-agent AI collaboration! π€β¨