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-0.1.5.tar.gz
(20.5 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-0.1.5.tar.gz.
File metadata
- Download URL: meld_memory-0.1.5.tar.gz
- Upload date:
- Size: 20.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
39ecd33e6ca96cb591f81283b8f41de2577351a4f27e2f8559e0bdb9d77f10f9
|
|
| MD5 |
f615df0fcc5bdbbfb683ab60a417ca72
|
|
| BLAKE2b-256 |
79d1069791be9607bd26a6b009ec6f146953d55db7b5f986681c047c7a941d6a
|
File details
Details for the file meld_memory-0.1.5-py3-none-any.whl.
File metadata
- Download URL: meld_memory-0.1.5-py3-none-any.whl
- Upload date:
- Size: 23.0 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 |
61dad5d765487f2ef0c4e3ed2ac7e0f13b12600986bb1902f8c7a693f76cdee4
|
|
| MD5 |
3a1e63b461c6c93dbeefaf26aca93979
|
|
| BLAKE2b-256 |
eeb90edd563ca3af7dfe797361a898e7046f9b62d476dd585e21dd1ce92f54d2
|
