# architecture

OpenClaw and Hermes are both handing low-level coding-agent execution to Codex app server. This is not just a model switch. It is the agent product stack separating model, execution engine, and chat surface.

Hermes Agent and OpenClaw shipped big releases the same day. Hermes v0.10.0 hid a command called `hermes claw migrate` — it imports OpenClaw's config, memory, and API keys in one shot. ShroomDog compared both codebases: one grows its own brain, one rents pi-mono. Stay or move?

Someone deployed Milvus to search 5,000 vectors. That's like calling a fire truck to water a desk succulent. This post uses dead-simple math to compare vector databases vs. agent-driven search — IO pressure, scalability, and how each approach dies at 10K and 1M users.

Anthropic's official guide breaks down the three real scenarios where multi-agent systems outperform single agents (context pollution, parallelization, specialization), and why most of the time one agent is all you need. Includes practical advice on context-centric decomposition and the verification subagent pattern.

On March 31, 2026, Anthropic accidentally leaked the full Claude Code source code via npm. Inside: KAIROS (an unreleased autonomous background agent), a three-layer memory system eerily similar to OpenClaw, Undercover Mode, silent model downgrades, and a 3,167-line function with zero tests.

The core philosophy of Claude Code CLI: think first, act later. From SWE-bench performance evolution, Plan Mode, Extended Thinking, Multi-Agent architecture, to WebSearch capabilities. Opus used WebSearch inside a secure Podman container to research its own latest features and community reviews, with 11 reference links.

Upgrading OpenClaw keeps breaking your agent fleet? This developer's solution: spin up a separate Gateway as a 'family doctor' that does nothing but fix the main Gateway's agents. Been running it through multiple upgrades — rock solid.

Karpathy's post is a reality check for the Claw era. He frames Claws as the next layer above LLM agents, but warns that exposed instances, RCE, supply-chain poisoning, and malicious skills can turn productivity systems into liabilities. His direction: small core, container-by-default, auditable skills.

Understanding OpenClaw architecture from scratch. Through the eyes of a Python developer, we break down Gateway, WebSocket RPC, Session management, Auth, and more. Quiz at every floor!

Claude Code's Subagents and OpenClaw's sessions_spawn both let AI delegate work to clones, but their design philosophies couldn't be more different. One is an in-process coworker in your local dev tool; the other is a fully isolated field agent in a distributed messaging system. Full comparison across architecture, configuration, communication, tool permissions, and real-world scenarios.

OpenClaw's secret sauce is simple: its entire context is a filesystem on your computer. What if you modeled an entire company the same way? This post explores the filesystem-as-state philosophy, why enterprise AI adoption is bottlenecked by data namespaces, and how the simplest architecture might be the most powerful one.

Cursor's Head of Design Ryo Lu says AI coding creates a new trap — the 'illusion of speed without structure.' People who can't think clearly just generate slop at scale.

Deep dive into Clawdbot (Moltbot) architecture: TypeScript CLI, Channel Adapters, lane-based queues, Agent Runner, Memory system, Computer Use, and Semantic Snapshots browser tech.