LinkBox AI is the Cognition-as-a-Service layer for 2026 robotics. RAG memory, emotional intelligence, and IoT control in 10 lines of code.
from linkbox_ai import LinkBoxRobotClient
# 10 lines to cognitive intelligence
client = LinkBoxRobotClient(
api_key="lb_your_api_key",
robot_id="UNIT_01"
)
# Ask anything - grounded in user's knowledge
response = client.query(
"What did the user save about cooking pasta?"
)
print(response.answer)
# "Based on 3 saved recipes, the user prefers
# al dente pasta with garlic butter sauce..."
# Voice conversation with emotional intelligence
async for audio in client.voice_stream(
personality="helpful_companion",
enable_psych_sync=True
):
robot.speakers.play(audio)Everything your robot needs to understand, remember, and connect.
RAG-powered memory gives your robot instant access to the user's personal knowledge base. Every interaction is contextually aware.
Emotional intelligence engine that adapts communication style, detects user sentiment, and responds with appropriate empathy.
Control 1,000+ smart home devices through natural language. Works with HomeKit, Matter, Google Home, and Alexa ecosystems.
Real-time bidirectional audio powered by Gemini 3 Native Audio. Ultra-low latency for natural conversation flow.
End-to-end encryption, GDPR compliant, optional on-device processing. User data stays with the user.
Visualize and traverse entity relationships. Let your robot understand context and connections between concepts.
REST, WebSocket, and gRPC endpoints for every integration pattern.
/v1/robot/querySend a natural language query and get RAG-grounded response
REST/v1/robot/voiceReal-time bidirectional voice streaming with tool calling
WebSocket/v1/robot/memoryStore and retrieve entries from the user's knowledge base
REST/v1/robot/iot/controlControl smart home devices by natural language command
RESTrobotics.LinkBox/QueryHigh-performance streaming queries for embedded systems
gRPC$ pip install linkbox-roboticsDownload our comprehensive guides to get started with LinkBox Robotics.
Get your robot connected to LinkBox in under 5 minutes. Covers Python, Node.js, and REST API.
Complete API reference with all endpoints, parameters, response formats, and error codes.
System design patterns for integrating cognitive intelligence into robotic platforms.
Model Context Protocol (MCP) server implementation details for advanced AI tool integration.
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