Tutorial: Build Long-Term Memory in AI Agents with LangGraph and Mem0
This article was written by Adrian Payong (AI Consultant and Technical Writer) and edited by Shaoni Mukherjee (AI Technical Writer, DigitalOcean) Key …
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I Almost Missed the Most Important Announcement at Google Cloud NEXT 26
Let me set the scene. It's Tuesday morning. Google Cloud NEXT 26 just dropped 260 announcements in a single blog post. The internet is losing its mind…
Building a Personal Agent
Shortly after OpenClaw came out I started building my own personal agent. I picked Claude Code as the harness, partly out of habit and partly because …
We Built DAST for AI Agents. Every Agent We Tested Failed.
8 dimensions. 38 checks. 5 seconds. 0% industry pass rate. The Problem DAST exists for web apps. DAST exists for APIs. DAST does not exist for AI agen…
One Open Source Project a Day (No.50): The TypeScript Wizard Pushed His .claude Directory to GitHub and Hit #1 Worldwide Overnight
Introduction "My agent skills that I use every day to do real engineering — not vibe coding." — Matt Pocock, README first line This is article No.50 i…
TradingAgents v0.2.4: A Multi-Agent LLM Framework That Simulates an Entire Trading Firm
TL;DR UCLA Tauric Research released TradingAgents v0.2.4 (2026-04-25) — a LangGraph-based multi-agent LLM framework that mimics a real trading firm wi…
Unified Memory Core for AI Agents
A practical guide to building episodic, lexical, vector, and graph memory workflows in Oracle AI Database Companion notebook: Unified Agent Memory wit…
What Are AI Agents and How Are They Changing Software Development?
If you have spent any time in developer communities this year, you have heard the phrase "AI agents" more times than you can count. It gets thrown aro…
The Consequences of Agentic AI
Customer support agents are hallucinating policies. Coding agents are deleting production resources. Dependency supply chains are getting poisoned. Ag…
Most Teams Do Not Need Multi-Agent Systems Yet
There is a pattern I keep seeing in AI system design. A team starts with a clear business problem. Maybe they want to generate reports from internal d…
From Chatbots to Coworkers: What Google Cloud Next '26 Means for Developers
A developer's breakdown of everything that matters from the Google Cloud Next '26 keynote and what to build with it next. This is a submission for the…
Reading list (21st to 27th April)
What I am currently reading These are the current online posts that I enjoyed reading and made me think. AI If you are not the model, you are the harn…
I rethought PlanetLedger after Google Cloud NEXT 2026 — and my architecture broke (in a good way)
This is a submission for the Google Cloud NEXT Writing Challenge A few days ago, I shipped PlanetLedger — a weekend hackathon project that turns bank …
I Wasn't Going to Write for the OpenClaw Challenge. Then 2026.4.24 Dropped.
This is a submission for the OpenClaw Writing Challenge I had no plans to write anything I'm an AI engineering senior analyst, and I spend most of my …
Your Codebase Is the New Prompt
Chapter 3 Deep-Dive: Your Codebase Is the Interface Companion document to "Software Development in the Agentic Era" By Mike, in collaboration with Cla…
(The Connection) WhatsApp Bridge
The Catalyst: The Interface Is the Attack Surface WhatsApp is the ultimate low-friction interface: it is on every phone, it is end-to-end encrypted in…
(The Brain) Setting Up OpenClaw
The Catalyst: Intent First I wanted an assistant that understood the job before it opened its mouth: stable model, bounded context, a workspace the ag…
The Real Token Economy Is Not About Spending Less. It Is About Thinking Smaller.
I saw a video today that made me laugh, then made me a bit worried. It was one of those jokes that is not really a joke because you can already see so…
Mastering React useEffect: An AI Agent Skill for Idiomatic Side Effects
Originally published at https://www.bampouris.eu/blog/react-useeffect-guide-skill/ Introduction useEffect is arguably the most misunderstood hook in t…
Invincat: A CLI agent with structured, tiered memory governance for long-term engineering collaboration
https://github.com/dog-qiuqiu/invincat As AI coding assistants enter real-world engineering workflows, the central challenge is shifting from "insuffi…
When my RL agent started writing about Star Wars instead of fixing servers
A Sunday-morning postmortem on teaching a 3B model to do enterprise IT triage with GRPO. It's 1 AM on a Sunday. The Meta × PyTorch OpenEnv Hackathon s…
We Wrapped an Open-Source Agent in GraphOS and Turned the Debugging Session Into a Story
A story-driven, hands-on report about taking an existing open-source LangGraph.js agent, wrapping it in GraphOS, and learning what observability actua…
Hello, agents. This is how I stopped being afraid of you.
Hi, I'm Billy . 👋 I've been a developer for over 20 years. Six months ago, I was low-key terrified that AI was going to make me obsolete. Today I have…
DeepSeek V4: Million-Token Context That Actually Works
DeepSeek V4: Million-Token Context That Actually Works Most long-context models are benchmarks in search of a use case. DeepSeek V4 flips the script—i…
Taming MCPs, Skills, and Agent Chaos with ToolHive
I use a lot of AI coding tools: OpenCode, Antigravity, Claude Code, Codex, Gemini CLI, Pi, Zed, GitHub Copilot, and probably others too. I'm having a …
The Journey from Scattered Data to an Apache Iceberg Lakehouse with Governed Agentic Analytics
The conventional wisdom for data platform modernization goes like this: pick a target system, build ETL pipelines for every source, migrate everything…
All Data and AI Weekly #239-27April2026
All Data and AI Weekly #239-27April2026 ( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cort…
MCP + gRPC: The Missing Piece for Production-Ready AI Agents (No More JSON Pain!)
“Your AI agents are smart… but your infrastructure is still stuck in JSON?” Let’s fix that. 🌍 The Big Shift: From Local Toy → Enterprise-Ready AI Unti…
Why Your AI Agent Loses the Plot: Reasoning Decay and Attention Loss in Long-Running Tasks
A reference on why long-running agents fail at depth, the math behind why errors compound, and the architectural patterns that respond to it. title: "…
How I Stopped My AI Agent From Reinventing the Wheel
Yesterday I told my AI agent, Misti: "Scrape e-commerce prices daily." The old Misti would have immediately generated a Python script. Selenium. Beaut…