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Architects Research Society

A daily treasure trove for architects, expanding your view and depth. We share enterprise, business, application, data, technology, and security architecture, discuss frameworks, planning, governance, standards, and implementation, and explore emerging styles such as microservices, event‑driven, micro‑frontend, big data, data warehousing, IoT, and AI architecture.

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Recent Articles

Latest from Architects Research Society

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Architects Research Society
Architects Research Society
Sep 6, 2026 · Artificial Intelligence

What's True Now? ONTOVELA's World Model Separates Observed, Simulated, and Inferred States

ONTOVELA's operational world model platform addresses the core challenge for autonomous agents by classifying enterprise states into six evidenced categories—observed, reported, derived, inferred, predicted, simulated—using a bitemporal graph that separates event time from system time, enabling reality views and signed snapshots for trustworthy decision-making.

Digital TwinONTOVELAautonomous agents
0 likes · 6 min read
What's True Now? ONTOVELA's World Model Separates Observed, Simulated, and Inferred States
Architects Research Society
Architects Research Society
Sep 5, 2026 · Artificial Intelligence

Why Enterprise Knowledge Isn't Just Documents for LLMs: GNOSIVELA's Knowledge Fabric

The article argues that enterprise knowledge for AI agents requires more than vector retrieval; GNOSIVELA provides a knowledge fabric that unifies documents, data, semantics, rules, and provenance with governance, distinguishing source facts, normalized knowledge, and task-specific projections to ensure explainable, permissioned, and timely knowledge access.

AI AgentsData GovernanceEnterprise AI
0 likes · 6 min read
Why Enterprise Knowledge Isn't Just Documents for LLMs: GNOSIVELA's Knowledge Fabric
Architects Research Society
Architects Research Society
Sep 3, 2026 · Artificial Intelligence

Harmovela: Async Coordination Protocol Complementing MCP for Agent Systems

Harmovela is an open coordination protocol that complements MCP by handling asynchronous, incremental, and replayable continuous coordination across agents, tools, memory, and runtimes, covering seven dimensions including events, tasks, state, context, delegation, recovery, and governance, with multi-language implementations and transport bindings.

AI InfrastructureAgent CoordinationHarmovela
0 likes · 6 min read
Harmovela: Async Coordination Protocol Complementing MCP for Agent Systems
Architects Research Society
Architects Research Society
Sep 2, 2026 · Artificial Intelligence

Why Agent Memory Goes Beyond Vector Databases: Inside MNEMOVELA’s Cognition Runtime Model

The article explains that typical agent systems store long‑term memory as raw chat logs embedded in a vector database, which only captures similarity, and introduces MNEMOVELA’s cognition runtime model that classifies memories into types, uses Git‑like branching, hybrid retrieval, and context assembly to provide semantically rich, versioned agent memory.

Agent MemoryMnemovelaVector Database
0 likes · 6 min read
Why Agent Memory Goes Beyond Vector Databases: Inside MNEMOVELA’s Cognition Runtime Model
Architects Research Society
Architects Research Society
Sep 2, 2026 · Information Security

Why Agent Authorization Differs from User Permissions – The AEGIVELA Security Model

The article explains how traditional IAM falls short for agents and introduces AEGIVELA’s seven‑step security model—distinguishing human, agent, and workload identities, separating policy decisions from execution, using scoped approvals, limited delegation, short‑lived execution grants, revocation as a first‑class capability, and evidence generation.

AEGIVELAAuthorization modelEvidence generation
0 likes · 5 min read
Why Agent Authorization Differs from User Permissions – The AEGIVELA Security Model
Architects Research Society
Architects Research Society
Sep 1, 2026 · Operations

When Agents Vanish, Enterprise Work Must Persist: RHEOVELA’s Durable Process Model

RHEOVELA addresses the structural conflict that temporary AI agents cannot sustain long‑running enterprise tasks by persisting process instances through event sourcing, atomic idempotent command pipelines, and unified work items, ensuring reliable recovery, auditability, and continuity despite crashes, upgrades, or network failures.

Agent SystemsDurable WorkflowEvent Sourcing
0 likes · 5 min read
When Agents Vanish, Enterprise Work Must Persist: RHEOVELA’s Durable Process Model
Architects Research Society
Architects Research Society
Sep 1, 2026 · R&D Management

Why ORCHADYN Treats Business Planning as a Compiler to Make Architecture Executable

The article explains how ORCHADYN acts as an Enterprise Capability Planning Compiler, turning business goals into first‑class semantic objects, decoupling capabilities from implementations, separating planning from execution, and enabling accountable delegation, while explicitly limiting its scope to avoid replacing existing catalogs, identity systems, or runtimes.

Agent FrameworkBusiness ExecutionCapability Planning
0 likes · 5 min read
Why ORCHADYN Treats Business Planning as a Compiler to Make Architecture Executable
Architects Research Society
Architects Research Society
Aug 29, 2026 · Artificial Intelligence

Designing Execution Boundaries for Agent Tools: The PRAXOVELA Runtime

The article explains why traditional tool‑calling in agent frameworks is insufficient for enterprise tasks and introduces PRAXOVELA, a governance‑first, locally‑prioritized desktop agent runtime that enforces capability permissions, isolates high‑risk code, records effects for reliable recovery, and keeps sensitive data on‑premise.

AI AgentsPRAXOVELAeffect ledger
0 likes · 6 min read
Designing Execution Boundaries for Agent Tools: The PRAXOVELA Runtime
Architects Research Society
Architects Research Society
Aug 27, 2026 · Operations

Testing Autonomous Systems in Possible Worlds: Inside PEIRAVELA’s Experiment Control Plane

When agents, workflows, robots, or security controls affect production, teams must know how the system behaves under changing conditions; PEIRAVELA’s possible‑world experiment control plane creates isolated, reproducible worlds, injects perturbations, records raw evidence, and separates testing from judgment to enable independent verification.

Evidence generationPEIRAVELASoftware Testing
0 likes · 5 min read
Testing Autonomous Systems in Possible Worlds: Inside PEIRAVELA’s Experiment Control Plane