Yoo!! AGENT,
deploy now
Yoo!! AGENT offers out-of-the-box deployment solutions, including Docker containers, Kubernetes orchestration, and lightweight edge device installations.
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Tech
arch.
Yoo!! AGENT integrates zero-trust security and federated learning for data privacy, deploys lightweight engines (<8MB) on edge devices, and enables enterprise-grade multi-agent collaboration via event-driven communication (gRPC-Web/RabbitMQ) and elastic resource orchestration (Kubernetes/serverless).
Zero-Trust Security Architecture
All agent interactions are untrusted by default, enforced by dynamic identity verification and real-time threat detection for least-privilege access.
Zero-Trust Security Architecture
All agent interactions are untrusted by default, enforced by dynamic identity verification and real-time threat detection for least-privilege access.
Zero-Trust Security Architecture
All agent interactions are untrusted by default, enforced by dynamic identity verification and real-time threat detection for least-privilege access.
Federated Learning-Driven Data Fusion
Enables cross-enterprise collaborative training without raw data sharing—only encrypted gradient parameters are exchanged.
Federated Learning-Driven Data Fusion
Enables cross-enterprise collaborative training without raw data sharing—only encrypted gradient parameters are exchanged.
Federated Learning-Driven Data Fusion
Enables cross-enterprise collaborative training without raw data sharing—only encrypted gradient parameters are exchanged.
Edge-Optimized Lightweight Engine
Micro-model engine built on TensorFlow Lite and ONNX, with <8MB memory usage, optimized for low-power edge devices.
Edge-Optimized Lightweight Engine
Micro-model engine built on TensorFlow Lite and ONNX, with <8MB memory usage, optimized for low-power edge devices.
Edge-Optimized Lightweight Engine
Micro-model engine built on TensorFlow Lite and ONNX, with <8MB memory usage, optimized for low-power edge devices.
Event-Driven Multi-Agent Communication
Asynchronous agent collaboration via gRPC-Web and message queues (e.g., RabbitMQ) for high-throughput, low-latency operations.
Event-Driven Multi-Agent Communication
Asynchronous agent collaboration via gRPC-Web and message queues (e.g., RabbitMQ) for high-throughput, low-latency operations.
Event-Driven Multi-Agent Communication
Asynchronous agent collaboration via gRPC-Web and message queues (e.g., RabbitMQ) for high-throughput, low-latency operations.
Elastic Resource Orchestration Framework
Dynamically allocates agent computing power via Kubernetes and serverless (e.g., AWS Lambda) to handle enterprise-scale concurrency.
Elastic Resource Orchestration Framework
Dynamically allocates agent computing power via Kubernetes and serverless (e.g., AWS Lambda) to handle enterprise-scale concurrency.
Elastic Resource Orchestration Framework
Dynamically allocates agent computing power via Kubernetes and serverless (e.g., AWS Lambda) to handle enterprise-scale concurrency.
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Secure. Scalable. Streamlined
Zero-Trust
Dynamic Auth
Micro
Zero-Trust Security Protocol
Deny-by-default agent interactions with dynamic authentication and micro-segmentation, ensuring end-to-end data privacy.

Zero-Trust
Dynamic Auth
Micro
Zero-Trust Security Protocol
Deny-by-default agent interactions with dynamic authentication and micro-segmentation, ensuring end-to-end data privacy.

Zero-Trust
Dynamic Auth
Micro
Zero-Trust Security Protocol
Deny-by-default agent interactions with dynamic authentication and micro-segmentation, ensuring end-to-end data privacy.

Edge-Optimized
Low-Memory
Edge-Optimized Inference
Sub-8MB memory footprint via TensorFlow Lite/ONNX, optimized for IoT and low-power edge devices.
Edge-Optimized
Low-Memory
Edge-Optimized Inference
Sub-8MB memory footprint via TensorFlow Lite/ONNX, optimized for IoT and low-power edge devices.
Edge-Optimized
Low-Memory
Edge-Optimized Inference
Sub-8MB memory footprint via TensorFlow Lite/ONNX, optimized for IoT and low-power edge devices.
FL
Data Compliance
Local Encryption
Federated Learning Collaboration
Cross-enterprise encrypted parameter sharing for compliant model training—raw data never leaves local systems.
FL
Data Compliance
Local Encryption
Federated Learning Collaboration
Cross-enterprise encrypted parameter sharing for compliant model training—raw data never leaves local systems.
FL
Data Compliance
Local Encryption
Federated Learning Collaboration
Cross-enterprise encrypted parameter sharing for compliant model training—raw data never leaves local systems.
Async Comm
Autonomous Agents
Resource Negotiation
Dynamic Multi-Agent Orchestration
Asynchronous agent negotiation via gRPC-Web and message queues (e.g., RabbitMQ) for autonomous resource allocation.

Async Comm
Autonomous Agents
Resource Negotiation
Dynamic Multi-Agent Orchestration
Asynchronous agent negotiation via gRPC-Web and message queues (e.g., RabbitMQ) for autonomous resource allocation.

Async Comm
Autonomous Agents
Resource Negotiation
Dynamic Multi-Agent Orchestration
Asynchronous agent negotiation via gRPC-Web and message queues (e.g., RabbitMQ) for autonomous resource allocation.

Second-Scale
Serverless
Cluster Elasticity
Enterprise Elastic Scaling
Kubernetes and serverless integration (e.g., AWS Lambda) for on-demand agent cluster scaling in seconds.

Second-Scale
Serverless
Cluster Elasticity
Enterprise Elastic Scaling
Kubernetes and serverless integration (e.g., AWS Lambda) for on-demand agent cluster scaling in seconds.

Second-Scale
Serverless
Cluster Elasticity
Enterprise Elastic Scaling
Kubernetes and serverless integration (e.g., AWS Lambda) for on-demand agent cluster scaling in seconds.

Real-Time Logs
Auto-Reports
Real-Time Compliance Auditing
Built-in GDPR/HIPAA audit logs and automated reporting for real-time data flow and agent behavior monitoring.
Real-Time Logs
Auto-Reports
Real-Time Compliance Auditing
Built-in GDPR/HIPAA audit logs and automated reporting for real-time data flow and agent behavior monitoring.
Real-Time Logs
Auto-Reports
Real-Time Compliance Auditing
Built-in GDPR/HIPAA audit logs and automated reporting for real-time data flow and agent behavior monitoring.
Core Modules
Secure foundation, data empowerment, lightweight edge-breaking, collaborative efficiency.
01
Security & Compliance Layer
Zero-Trust
Dynamic Encryption
Compliance Audit
01
Security & Compliance Layer
Zero-Trust
Dynamic Encryption
Compliance Audit
01
Security & Compliance Layer
Zero-Trust
Dynamic Encryption
Compliance Audit
02
Data Intelligence Engine
Federated Learning
Privacy Computing
02
Data Intelligence Engine
Federated Learning
Privacy Computing
02
Data Intelligence Engine
Federated Learning
Privacy Computing
03
Lightweight Agent Core
Edge Computing
Micro-Engine
03
Lightweight Agent Core
Edge Computing
Micro-Engine
03
Lightweight Agent Core
Edge Computing
Micro-Engine
04
Multi-Agent Collaboration
Async Communication
Elastic Scaling
04
Multi-Agent Collaboration
Async Communication
Elastic Scaling
04
Multi-Agent Collaboration
Async Communication
Elastic Scaling
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Introduce
team
The YOO AGENT team, led by former security architects from Anthropic AI, Coinbase, and Google, unites top minds in distributed systems and edge computing, leveraging decade-long expertise to redefine enterprise multi-agent collaboration.
Jacob Klein, founder of YOO AGENT, currently leads critical initiatives in Trust & Safety at Anthropic AI. As a former senior security architect at Coinbase and Google, he brings over a decade of expertise in AI safety, blockchain, and large-scale distributed systems. His career spans designing security frameworks for products serving billions of users, now channeled into redefining secure, enterprise-ready multi-agent intelligence.

Jacob Klein
Founder / CEO
Jacob Klein, founder of YOO AGENT, currently leads critical initiatives in Trust & Safety at Anthropic AI. As a former senior security architect at Coinbase and Google, he brings over a decade of expertise in AI safety, blockchain, and large-scale distributed systems. His career spans designing security frameworks for products serving billions of users, now channeled into redefining secure, enterprise-ready multi-agent intelligence.

Jacob Klein
Founder / CEO
Jacob Klein, founder of YOO AGENT, currently leads critical initiatives in Trust & Safety at Anthropic AI. As a former senior security architect at Coinbase and Google, he brings over a decade of expertise in AI safety, blockchain, and large-scale distributed systems. His career spans designing security frameworks for products serving billions of users, now channeled into redefining secure, enterprise-ready multi-agent intelligence.

Jacob Klein
Founder / CEO
Matthew, CTO of YOO AGENT, previously served as a Senior Engineering Manager at Meta’s AI Infrastructure team, leading edge-computing optimizations for PyTorch and large-scale distributed training frameworks. He architected real-time resource scheduling algorithms for AWS Lambda’s serverless core and spearheaded high-impact open-source projects (e.g., NanoRPC).

Matthew
CTO
Matthew, CTO of YOO AGENT, previously served as a Senior Engineering Manager at Meta’s AI Infrastructure team, leading edge-computing optimizations for PyTorch and large-scale distributed training frameworks. He architected real-time resource scheduling algorithms for AWS Lambda’s serverless core and spearheaded high-impact open-source projects (e.g., NanoRPC).

Matthew
CTO
Matthew, CTO of YOO AGENT, previously served as a Senior Engineering Manager at Meta’s AI Infrastructure team, leading edge-computing optimizations for PyTorch and large-scale distributed training frameworks. He architected real-time resource scheduling algorithms for AWS Lambda’s serverless core and spearheaded high-impact open-source projects (e.g., NanoRPC).

Matthew
CTO
All You need to Know
Whether you're curious about our approach or need specific information, find valuable insights here.
How is YOO AGENT different from other multi-agent frameworks?
YOO AGENT uniquely integrates zero-trust security and federated learning for data privacy compliance, with a sub-8MB engine for edge devices—unlike traditional frameworks focused solely on cloud-based collaboration.
Do I need to deploy full AI models locally?
No. YOO AGENT uses micro-models (TensorFlow Lite/ONNX) with on-demand loading, requiring minimal local resources for real-time inference.
How is cross-enterprise data collaboration secured?
Federated learning ensures only encrypted gradient parameters are shared—raw data remains isolated. All communication uses mutual TLS and dynamic token authentication.
Does it integrate with existing systems like SAP/Oracle?
Yes. Pre-built connectors and REST/gRPC APIs enable integration with SAP, Oracle, or Kubernetes clusters in under 10 minutes.
Does it provide real-time compliance reports?
Yes. Built-in automated audits generate real-time GDPR/HIPAA reports, compatible with third-party tools like AuditBoard.
How is YOO AGENT different from other multi-agent frameworks?
YOO AGENT uniquely integrates zero-trust security and federated learning for data privacy compliance, with a sub-8MB engine for edge devices—unlike traditional frameworks focused solely on cloud-based collaboration.
Do I need to deploy full AI models locally?
No. YOO AGENT uses micro-models (TensorFlow Lite/ONNX) with on-demand loading, requiring minimal local resources for real-time inference.
How is cross-enterprise data collaboration secured?
Federated learning ensures only encrypted gradient parameters are shared—raw data remains isolated. All communication uses mutual TLS and dynamic token authentication.
Does it integrate with existing systems like SAP/Oracle?
Yes. Pre-built connectors and REST/gRPC APIs enable integration with SAP, Oracle, or Kubernetes clusters in under 10 minutes.
Does it provide real-time compliance reports?
Yes. Built-in automated audits generate real-time GDPR/HIPAA reports, compatible with third-party tools like AuditBoard.
How is YOO AGENT different from other multi-agent frameworks?
YOO AGENT uniquely integrates zero-trust security and federated learning for data privacy compliance, with a sub-8MB engine for edge devices—unlike traditional frameworks focused solely on cloud-based collaboration.
Do I need to deploy full AI models locally?
No. YOO AGENT uses micro-models (TensorFlow Lite/ONNX) with on-demand loading, requiring minimal local resources for real-time inference.
How is cross-enterprise data collaboration secured?
Federated learning ensures only encrypted gradient parameters are shared—raw data remains isolated. All communication uses mutual TLS and dynamic token authentication.
Does it integrate with existing systems like SAP/Oracle?
Yes. Pre-built connectors and REST/gRPC APIs enable integration with SAP, Oracle, or Kubernetes clusters in under 10 minutes.
Does it provide real-time compliance reports?
Yes. Built-in automated audits generate real-time GDPR/HIPAA reports, compatible with third-party tools like AuditBoard.
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Yoo!!
ai agent
Yoo!! AGENT: Redefining enterprise multi-agent collaboration with zero-trust security, federated learning, and edge-optimized lightweight engines—secure, compliant, and borderless.