memside 0.2.0

Python client for Memside AI continuity, portable context, checkpoints, operating rules, User AI Profile, and AI Skills.

Memside Python SDK

Python client for Memside AI continuity, portable context, checkpoints, operating rules, User AI Profile, and AI Skills.

Install

pip install memside

Usage

from memside import MemsideClient

client = MemsideClient(api_key="mem_sk_your_key_here")

startup = client.context_startup()
print(startup)

Create a memory with the public type and text fields:

memory = client.memories_create(
    {
        "type": "note",
        "text": "Packing checklist\nBring a charger and a reusable bottle.",
        "sensitivity": "private",
    }
)

Deletion requires the resource-specific confirmation returned by your application workflow:

client.memories_delete(
    memory["id"],
    f"CONFIRM_DELETE_{memory['id']}",
)

You can also set the API key through the environment:

MEMSIDE_API_KEY=mem_sk_your_key_here

Supported API Areas

This package wraps public Memside API-key routes:

• startup context
• resume context
• workspace profile
• memory listing
• memory search
• memory fetch
• bounded exact-ID memory batch reads
• memory create
• memory update
• memory delete, when allowed by the API

This package does not include private Memside application source, account/session internals, billing internals, admin routes, database details, or MCP server implementation.

Public request and response shapes are exported as lightweight TypedDict definitions for editors and type checkers. Failed requests raise MemsideError, including status, code, retryable, retry_after, request_id, and safe details.

Requirements

Python 3.9 or newer.