6 Papers Published

Technical Blueprints

Not blogs. Deep-dive engineering papers on autonomous infrastructure.

Agent Architecture2026-05-28· 18 min read

Autonomous Agent Mesh: A Reference Architecture for Multi-Agent Coordination

This paper presents a mesh-based reference architecture for coordinating autonomous agents at scale. We demonstrate how event-driven communication patterns, combined with distributed state management, enable reliable multi-agent coordination without centralized bottlenecks.

Problem

No standardized architecture for coordinating 10+ autonomous agents in production

Approach

Mesh-based topology with event-driven communication and distributed state management

Result

47% reduction in coordination overhead, 99.98% message delivery reliability

Stack

ANDS Orchestration Framework, gRPC, Event Sourcing

Data Infrastructure2026-05-15· 22 min read

Unified Data Layer: Eliminating Data Silos in Autonomous Infrastructure

We present the design and implementation of a Unified Data Layer that provides a single queryable interface across heterogeneous data sources. Our approach eliminates the need for ETL-heavy data warehousing while maintaining sub-10ms query latency.

Problem

Enterprise agents querying 15+ disconnected data sources with inconsistent schemas

Approach

Virtual unified layer with schema-on-read, real-time sync, and intelligent caching

Result

92% reduction in data access latency, zero-downtime schema evolution

Stack

ANDS UDL, Apache Arrow, Change Data Capture

Observability2026-04-30· 15 min read

Self-Healing Pipelines: Fail-Safe Patterns for Production Agent Systems

This paper introduces a comprehensive fail-safe framework for production agent systems. We demonstrate how predictive failure detection, combined with circuit breaker patterns and automated rollback, achieves near-zero-downtime operation.

Problem

Production agent failures cascade through dependent systems within seconds

Approach

Circuit breaker patterns with predictive failure detection and automated rollback

Result

99.99% availability, mean time to recovery reduced from 45 min to 8 seconds

Stack

ANDS Observability Core, Prometheus, Custom anomaly detection

Industry2026-04-18· 20 min read

Agent-Driven Supply Chain Optimization: A Case Study

We present a real-world deployment of autonomous agents in supply chain operations. Our multi-agent approach reduced invoice processing time by 99.9% while eliminating 85% of manual intervention points.

Problem

Manual supply chain operations creating 72-hour delays in invoice processing

Approach

Multi-agent pipeline: document parsing, matching, exception handling, ledger sync

Result

Processing time reduced from 72hrs to 2.3 seconds, 85% reduction in manual intervention

Stack

ANDS Agent Mesh, OCR pipeline, Financial reconciliation engine

Security2026-04-05· 25 min read

Securing Multi-Agent Systems: Threat Models and Mitigation Strategies

This paper presents a comprehensive threat model for multi-agent systems and introduces mitigation strategies specifically designed for autonomous infrastructure. Our approach addresses prompt injection, agent impersonation, and unauthorized action escalation.

Problem

Autonomous agents introduce novel attack vectors not covered by traditional security models

Approach

Layered security with agent identity verification, action sandboxing, and audit trails

Result

Zero security incidents across 2,847 production agents over 6-month evaluation

Stack

ANDS Security Module, mTLS, Hardware security modules

Observability2026-03-22· 16 min read

Real-Time Anomaly Detection in Agentic Data Flows

We present a real-time anomaly detection system designed for high-throughput agent data flows. Our approach combines statistical process control with ML-based pattern recognition to detect subtle data quality issues before they propagate through agent pipelines.

Problem

Traditional monitoring misses subtle data quality issues in high-throughput agent pipelines

Approach

Streaming anomaly detection with contextual baselines and multi-signal correlation

Result

94.2% anomaly detection accuracy with < 3% false positive rate

Stack

ANDS Observability Core, Statistical process control, Streaming ML

Initializing Agents...Establishing neural link