Tencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents
Tencent has released TencentDB Agent Memory, an open-source memory system for AI agents. The project ships under the MIT license. It targets a problem familiar to anyone shipping long-horizon agents: context bloat and recall failure. It is symbolic short-term memory along with layered long-term memory. It integrates with OpenClaw as a plugin and with the […]
Build a SuperClaude Framework Workflow with Commands, Agents, Modes, and Session Memory
class SuperClaude: “”” Mimics what Claude Code does at session start: • reads Markdown behavior files for the active command/agent/modes, • concatenates them into one system prompt, • runs the conversation through the Anthropic API. “”” BASE_SYSTEM = textwrap.dedent(“”” You are operating inside the SuperClaude Framework — a structured development platform layered on top of […]
How to Mathematically Choose the Optimal Bins for Your Histogram
Have you ever wondered how to choose your bins in a histogram? Did you ever ask yourself whether there are deeper reasons for choices that go beyond that it just looks nice? While histograms are the most fundamental tool for data visualization, setting their resolution is important, especially when the histogram itself is used for […]
Beyond the Scroll: How Social Media Algorithms Shape Your Reality
that your social media feed may know you too well. When you browse social media, you notice a very typical behavior: you watch one video, and suddenly your timeline is flooded with more of the same. 5 years ago, it felt a bit like magic. But today, we talk about “the algorithm” as if it […]
From Prototype to Profit: Solving the Agentic Token-Burn Problem
This article was co-authored by Rahul Vir and Reya Vir. to Token Efficiency We have officially moved past the AI prototyping phase. Building on the concepts in Escaping the Prototype Mirage [1], product and engineering teams across every industry are now shipping agentic applications that solve workflows previously dominated by manual grind. Building these autonomous […]
Nous Research Releases Contrastive Neuron Attribution (CNA): Sparse MLP Circuit Steering Without SAE Training or Weight Modification
Instruction-tuned language models refuse harmful requests. But which part of the model is actually responsible — and how does that mechanism get installed during training? A new research from Nous Research team takes a neuron-level look at this question. The Nous research team developed contrastive neuron attribution (CNA), a method that identifies the specific MLP […]
Perplexity Open-Sources Bumblebee: A Read-Only Supply-Chain Scanner for Developer Endpoints
Attackers increasingly target the packages, editor extensions, and AI tool configs on developer machines and not just production systems. Perplexity has open-sourced an internal tool it uses to address this problem. Perplexity released Bumblebee on GitHub. The tool is a read-only inventory collector for macOS and Linux developer endpoints. It is written entirely in Go […]
A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents
Your AI agent is smart but forgetful. Every new session starts from zero — no memory of who you met, what you read, what you decided last Tuesday. GBrain is an open-source fix for that. Built by Garry Tan (President and CEO of Y Combinator) to power his own OpenClaw and Hermes deployments, it’s a […]
Hybrid AI: Combining Deterministic Analytics with LLM Reasoning
Introduction an agentic AI network for my company that advises manufacturing plants on how to mature their operations. The system was designed to be data-driven, allowing users to upload assessment data directly through the chat interface. The first working prototype was finished surprisingly quickly, and at first glance the results looked promising. There was only […]
Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale
, generative AI took off and RAG showed up as the standard answer for “we have documents, we want to ask questions.” The pitch sounded miraculous. The implementation everyone described was the same one, over and over: chunk the documents, push the chunks into a vector store, embed the question, retrieve top-k by cosine similarity, […]