ai 42
- Hermes, OpenClaw, NanoClaw, ZeroClaw, and IronClaw: Choosing the Right Agent Architecture
- Could AI Simulate Billions of Possible Human Lives?
- Codebase Memory for Coding Agents: Graft, Graphify, and codebase-memory-mcp
- A Portable Workflow for Testing Small Local LLMs on Modest Hardware
- Orchestrating Hermes with Local Gemma: Cheap Routing, Delegation, and Safe Rails Workflows
- Agent 基建的三层爆发：电脑、运行时、技能方法论
- Golden Rules for Cheaper, Safer LLM Agents
- Loop Engineering, Graph Engineering, and the Nature of Working with LLMs
- Life Is Not Git
- Tightening Hermes Secrets with Bitwarden
- Don't Leave Good AI Workflows in Chat
- Shared AI Artifacts Are Not Private Just Because the URL Is Hard to Guess
- Voice Control for Hermes Agent over Telegram
- Tightening Hermes Agent Security for Local Sensitive Work
- Securing Hermes Agent with OpenShell
- Giving Hermes Read-Only Access to GCP, AWS, and Kubernetes
- Building an AI English Conversation Practice App
- Using Cloud Run as a Gemini Proxy When Your Region Is Not Supported
- Running Hermes on a Cloud Machine as a Daily Routine Assistant
- LM Studio Local Agent Runbook: Pi and OpenCode Step by Step
- Tiny Puzzles for Testing and Debugging AI Agents
- How an LLM Coding Agent Actually Builds Software
- Using LM Studio and Gemma as a Local Engine for Coding Agents
- Building a Local Coding Agent (Codex/Claude-Code Style) with Gemma
- What Subagents Are Actually Good For in Codex
- MCP, Skills, Agents, Rulesets, and Hooks: A Practical Map for AI Development
- Git Worktree for Parallel AI Development
- Intelligent Applications & Personal OS: The Future of Software
- How to Develop with Auto AI Agents Using OpenHands
- I Let an AI Agent Write Code for a Week. Here's What Actually Worked.
- AI Employees: Building Your Digital Workforce
- The One-Person Company: AI as Force Multiplier
- The AI-Era Developer: From Coder to AI System Architect
- AI's Impact on the Software Development Lifecycle
- From Logic-Driven to Context-Driven Software
- Context Engineering: The New Software Engineering
- Why AI Applications Are Ecosystems, Not Software
- AI Application Architecture: LLM + Memory + Tools
- LLM Strengths and Limitations: A Practical Framework
- Generalization: Why AI Looks Smart
- What is LLM: The Nature of Language Models
- Building Your Own Speech-to-Text Service with Whisper