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Architecture

arxiv.org 0 min read

The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems

ActiveGraph introduces an event-sourced runtime where an append-only log serves as the primary source of truth for AI agents, with graph state as a deterministic projection of that log. This architecture enables …

AI · Architecture Editorial Team
arxiv.org 3 min read

Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Zep is a memory layer service for AI agents powered by Graphiti, a temporally-aware knowledge graph engine that dynamically integrates conversational and structured business data. It outperforms MemGPT on the Deep Memory …

AI · Architecture Editorial Team
arxiv.org 5 min read

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

A comprehensive architectural analysis of Claude Code’s agentic coding tool, examining its design principles, permission systems, context management, and extensibility mechanisms through source code analysis. The …

AI · Development · Architecture Editorial Team
arxiv.org 3 min read

Scaling Latent Reasoning via Looped Language Models

This paper introduces Ouro, a family of Looped Language Models (LoopLM) that achieve 2-3× parameter efficiency by implementing iterative computation through shared parameters and adaptive depth allocation, demonstrating …

AI · Architecture Editorial Team
block.xyz 4 min read

From Hierarchy to Intelligence: How AI is Reshaping Organizational Design

Block is pioneering a fundamental shift from traditional hierarchical management to AI-driven organizational intelligence, replacing human coordination layers with world models and intelligence systems. This approach …

AI · Architecture Editorial Team
belfercenter.org 3 min read

Government Tech Projects Fail by Default: Breaking the Cycle of Dysfunction

Government technology projects have a 13% success rate due to systemic governance issues including outdated procurement processes, restrictive policies, and perverse incentive structures. Breaking this cycle requires …

Development · Architecture Editorial Team
anthropic.com 4 min read

How We Built Our Multi-Agent Research System

Anthropic shares the engineering challenges and lessons learned from building Claude’s Research feature, a multi-agent system that uses multiple AI agents working in parallel to explore complex topics more …

AI · Architecture Editorial Team
arxiv.org 4 min read

Language Model Teams as Distributed Systems: A Framework for Multi-Agent Coordination

This research proposes using distributed systems theory as a principled framework for designing and evaluating LLM teams, demonstrating that coordination challenges like consistency conflicts, communication overhead, and …

AI · Architecture Editorial Team
infralovers.com 5 min read

Dark Factory Architecture: How Level 4 Actually Works

An in-depth technical analysis of Level 4 autonomous software development, examining StrongDM’s Attractor system and the architectural patterns that enable AI agents to build production software without human code …

Development · AI · Architecture Editorial Team
arxiv.org 4 min read

Building Reliable AI Systems Through Multi-Agent Organizational Intelligence

This paper presents a multi-agent AI architecture that achieves 92.1% reliability by organizing specialized AI agents into teams with opposing roles and hierarchical oversight, similar to corporate organizational …

AI · Architecture Editorial Team