Engineering Guides & Deep Dives
No marketing fluff. Technical execution plans, sandbox security protocols, and channel integration guides to help you deploy robust AI agents.
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Local Hardware Battles & Agent Harness Architectures: Hermes vs. NanoClaw vs. Claude Code under the Hood
Why running developer agents locally is more than just Ollama, a hardware debate (dual consumer GPUs vs. eBay Tesla cards), and a deep-dive architectural comparison of Hermes-style Drivers versus NanoClaw-style Hypervisors.
The Complete Total Recall Playbook: Setting Up Selective Agent Memory for Personal and Fleet Workflows
A holistic guide to installing and configuring davegoldblatt's Total Recall memory plugin. Learn to set up the 4-tier memory pipeline, implement the Write Gate, and architect split configurations for personal vs. shared team workspaces.
The WhatsApp Sandbox Trap: QR Expirations, Bans, and Self-Hosted Baileys
Why setting up WhatsApp for autonomous agents is a minefield, how to dodge Meta's ban-hammer, and a comparison of Baileys vs. the Official Cloud API.
Deploying GLM-5.2 Locally or via Z.ai Cloud API & Connecting it to Hermes-Agent
A quick, 3-step guide to running GLM-5.2 locally using quantization or through the low-cost Z.ai (Zhipu) Cloud API, and wiring it as your Hermes-Agent model backbone.
SAMS and the Persistent Memory Layer: Beyond Stateless LLM Contexts
An engineering breakdown of Semantic Memory Systems (SAMS), how memory graph compilation works, and why RAG alone fails your long-running agents.
Container Security & Scopes: Docker, Sandbox, and Executing Code Safely on a VPS
The ultimate guide to agent execution security. Why giving an agent a bare bash shell is a critical hazard, and how to build secure runtimes using gVisor and Docker.
How to Build Robust Agent Skills: Writing Reusable Tool Protocols
A developer's guide to writing clean, reliable, and self-documenting skills that agents can invoke without breaking their context window.