memoid 0.2.0

Python SDK for Memoid - AI Memory Layer

Memoid Python SDK

Python SDK for Memoid - AI Memory Layer for intelligent applications.

Installation

pip install memoid

Quick Start

from memoid import MemoryClient

client = MemoryClient("your-api-key")

# Add memory from conversation
memories = client.add(
    messages=[
        {"role": "user", "content": "I'm vegetarian and love Italian food"},
        {"role": "assistant", "content": "Great! I'll remember that."}
    ],
    user_id="user_123"
)

# Search memories
results = client.search(
    query="What dietary restrictions does the user have?",
    user_id="user_123"
)

for result in results:
    print(f"{result.memory} (score: {result.score})")

Async Support

from memoid import AsyncMemoryClient

async with AsyncMemoryClient("your-api-key") as client:
    memories = await client.add(
        messages=[{"role": "user", "content": "My favorite color is blue"}],
        user_id="user_123"
    )

    results = await client.search(query="favorite color", user_id="user_123")

API Reference

MemoryClient

add(messages, user_id=None, agent_id=None, metadata=None)

Add memories from a conversation.

get(memory_id)

Get a specific memory by ID.

get_all(user_id=None, agent_id=None, limit=100, offset=0)

Get all memories with optional filtering.

search(query, user_id=None, agent_id=None, limit=10)

Search memories using natural language.

update(memory_id, memory, metadata=None)

Update a memory.

delete(memory_id)

Delete a memory.

delete_all(user_id=None, agent_id=None)

Delete all memories with optional filtering.

get_graph(user_id=None, agent_id=None)

Get the knowledge graph.

License

MIT