npm install rice-node-sdk

pip install git+https://github.com/rice-ai-hq/rice-python-sdk

import { Client } from "rice-node-sdk";

// Initialize client (loads config from rice.config.js and .env)
const client = new Client();
await client.connect();

// --- Storage ---
// Insert data
await client.storage.insert(
  "unique-node-id",
  "This is a piece of information stored in Rice Storage.",
  { category: "example", value: 123 },
);

// Search for similar data
const results = await client.storage.search("information stored", 1, 5);
console.log(results);

// --- State (AI Agent Memory) ---
// Focus on a context/task
await client.state.focus("User is asking about weather");

// Store a long-term memory (commit)
await client.state.commit(
  "The user prefers metric units for temperature.",
  "User preference noted.",
  { source: "conversation" },
);

// Recall relevant memories
const memories = await client.state.reminisce("weather preferences");
console.log(memories);

from rice_sdk import Client

# Initialize client (loads config from rice.config.json and .env)
client = Client()
client.connect()

# --- Storage ---
# Insert data
client.storage.insert(
    node_id="unique-node-id",
    text="This is a piece of information stored in Rice Storage.",
    metadata={"category": "example", "value": 123},
)

# Search for similar data
results = client.storage.search("information stored")
print(results)

# --- State (AI Agent Memory) ---
# Focus on a context/task
client.state.focus("User is asking about weather")

# Store a long-term memory (commit)
client.state.commit(
    input_text="The user prefers metric units for temperature.",
    output="User preference noted.",
    action="conversation",
)

# Recall relevant memories
memories = client.state.reminisce("weather preferences")
print(memories)