AI Agents on Top AI Skills

A2A Protocol vs MCP: Which Agent Communication Protocol Fits Your Stack?

Tue, 21 Jul 2026 00:00:00 +0000

Picking between A2A and MCP feels confusing because both are “agent protocols” — but they don’t actually compete.

A2A (Agent-to-Agent) and MCP (Model Context Protocol) solve different layers of the same problem. MCP connects your AI model to tools and data. A2A lets agents talk to each other. You might need one, the other, or both depending on your setup.

Let’s break down what each protocol actually does, where they overlap, and how to choose.

Mem0 — Memory Layer for AI Agents

Wed, 08 Jul 2026 00:00:00 +0000

What It Is

Mem0 gives AI agents a persistent memory layer. Instead of starting every conversation from scratch, your agent can recall user preferences, past decisions, and relevant facts from previous sessions. It stores memories as embeddings, retrieves the right ones when they’re needed, and updates itself as new information comes in.

Think of it as a smart long-term memory that an AI agent can read from and write to, without you having to manage vector databases or retrieval pipelines yourself.

FAQ: Web Scraping with AI Agent Skills

Fri, 03 Jul 2026 00:00:00 +0000

FAQ: Web Scraping with AI Agent Skills

Web scraping has always been a messy task — fragile selectors, JavaScript rendering, rate limiting, and parsing spaghetti. AI agent skills like Crawl4AI are changing that by wrapping the entire pipeline into a single, declarative command.

Below are answers to the ten most common questions about using AI agent skills for web scraping. Whether you’re building a research pipeline, monitoring competitors, or collecting training data, these answers cover the practical decisions you’ll face.

To PRD

Sat, 13 Jun 2026 00:00:00 +0000

What It Is

A PRD generation skill that works by synthesis, not interview. Instead of asking you a list of questions, it listens to whatever context you’ve already built up in your AI conversation — discussion about a feature, tradeoffs you’ve explored, constraints you’ve mentioned — and turns that into a structured product requirements document with sections for problem statement, process, deep modules, and test seams. It then publishes the result to your issue tracker with a triage label.