WCBlog

Abstract AI agent observability dashboard with trace lines, cost gauges, evaluation checks, and safety controls

Agentic Harness Observability: OpenTelemetry, Evals and FinOps for AI Agents

Learn how to observe AI agents with OpenTelemetry traces, evals, guardrails, and FinOps metrics tied to one agentic harness run ID before production fails.

Afzal Malik August 13, 2026

What Is Context Compaction? How OpenClaw Keeps Long AI Chats Alive

Context compaction summarizes long AI agent chats before they hit the context limit. Here is how OpenClaw does it, and the config knobs you actually control.

Afzal Malik August 12, 2026

AI Technical Blogs

AI Agent Protocols: MCP vs A2A vs ACP vs SLIM

MCP connects AI agents to tools and data, A2A handles agent-to-agent delegation, ACP explains enterprise interoperability patterns, and SLIM focuses on secure real-time messaging.

Ruby Malik August 12, 2026

OpenClaw Configuration Basics: A Beginner’s Guide to openclaw.json

New to OpenClaw? Learn where openclaw.json lives, the four config sections that matter, and the safe way to edit, validate, and restart your setup.

Afzal Malik August 12, 2026

What Is the OpenClaw Context Engine? How Your Agent Builds Model Context

The OpenClaw context engine decides what your AI agent sends to the model. Learn its 4 lifecycle hooks, the legacy default, and its quarantine failsafe.

Afzal Malik August 12, 2026

OpenClaw Sessions Explained: Routing, Isolation, and When They Reset

How OpenClaw sessions work: message routing by origin, the dmScope setting that stops DM leaks, session lifecycle and resets, and where state lives on disk.

Afzal Malik August 12, 2026

Nano Banana Image Generation: Using Gemini 3’s Image Models on Vertex AI

Nano Banana image generation for developers: the four Gemini 3 image models, real pricing, and a no-API-key Python script to make images on Vertex AI.

Afzal Malik August 11, 2026

OpenClaw Agent Memory: How Your AI Agent Remembers Across Sessions

OpenClaw agent memory keeps what your AI agent knows in plain Markdown files, then promotes durable facts automatically. Here's how it actually works.

Afzal Malik August 8, 2026

OpenClaw Multi-Agent Routing: Run Isolated AI Agents on One Server

Run multiple isolated AI agents on one server. OpenClaw multi-agent routing uses deterministic bindings to send each message to the right agent, no LLM.

Afzal Malik August 7, 2026

AI Data Engineering

Chunking and Reranking in RAG: The Two Dials That Matter More Than Your Model

Chunking and reranking in RAG are the two dials that decide retrieval quality. A practical guide to chunk size, strategies, and cross-encoder rerankers.

Afzal Malik August 5, 2026