Meld CLI - Personal memory system for Claude Code
Project description
Meld CLI
Command-line interface for the Meld personal memory system.
Installation
pip install meld-memory
Usage
Login
# Request magic link
meld login
# Enter your email: you@example.com
# Check your email for a login link!
# After clicking the link, you're logged in
meld status
# ✓ Logged in as: you@example.com
# ✓ API: Connected
Setup Claude Code
meld setup
# ✓ Found Claude Code
# ✓ Updated Claude Code settings
# ✓ Added session hook
#
# Setup complete! Restart Claude Code to activate Meld.
Other Commands
# Check status
meld status
# Show current user
meld whoami
# Logout
meld logout
How It Works
meld loginsends a magic link to your email- Click the link to authenticate
- Token is saved to
~/.meld/credentials.json meld setupconfigures Claude Code to use the Meld MCP server- On next Claude Code session, Meld greets you and offers check-ins
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
meld_memory-0.1.2.tar.gz
(6.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file meld_memory-0.1.2.tar.gz.
File metadata
- Download URL: meld_memory-0.1.2.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1429e538078ea775f291ffd3a71e1c0d350a0c0529c32546604a3666871d1a93
|
|
| MD5 |
84359e0306fda4a2798d8d3dcb82f082
|
|
| BLAKE2b-256 |
695874db6570db3dbfd09c45464772523052a3fd1a94743c77b0765129bb5dc7
|
File details
Details for the file meld_memory-0.1.2-py3-none-any.whl.
File metadata
- Download URL: meld_memory-0.1.2-py3-none-any.whl
- Upload date:
- Size: 7.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
da2f35d44297576d319cf74cf988a3af500ceb1cb5d1a97cf98b0b7e786ec766
|
|
| MD5 |
c75fd3ee3c3aff8e0d3e1630a2d61e22
|
|
| BLAKE2b-256 |
ad37eaea3b579f0486192d2f193fe275cf220561170d94f079314e0cf43db081
|
