MarktechPost·
EverMind has open-sourced EverOS, a local-first memory runtime that stores AI agent memory as plain Markdown indexed by SQLite and LanceDB. It combines hybrid BM25 + vector retrieval, multimodal ingestion, and self-evolving Skills under an Apache 2.0 license. Here's what it is, how the architecture works, where the benchmarks stand, and where it still falls short — plus a runnable code walkthrough and an interactive demo. The post Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills appeared first on MarkTechPost.
Read full articleAn end-to-end classical NLP experiment on Kaggle’s Spooky Author Identification task: from Vowpal Wabbit and TF-IDF/NB-SVM baselines to a tuned stacked ensemble, with a compact representation survey of Bag-of-Words, BM25, Word2Vec, and FastText for context. The post How Far Can Classical NLP Go? From Bag-of-Words to Stacking on Spooky Author Identification appeared first on Towards Data Science.
Sui Prototype Seal MPC Targets Secure On-Chain AI Agent Markets: key Sui Seal MPC context, verified claims, market impact, and risk notes for crypto reader
Before Tobi Lütke ran Shopify, he learned programming through Germany’s apprenticeship system, the way people have learned trades forever: in a shared workshop, watching people who already knew what they were doing. More recently, describing Shopify’s River, he reached for a related word: Lehrwerkstatt, a teaching workshop where “the whole shop floor is the classroom.” X has been agog by the numbers around River, Shopify’s Slack-native AI agent. In total, 5,938 Shopify employees worked with River across 4,450 different Slack channels, and River now coauthors roughly one in eight merged pull requests across the company. It’s a big deal, but understanding why it works that way is the most important part. River can read code, run tests, open pull requests, query the data warehouse, inspect production traces, and sometimes push back on a plan it thinks is bad. Great. Lots of companies will have clever coding agents someday soon. Some already do. The interesting part is that River doesn’
Sui Prototype Seal MPC Targets Secure On-Chain AI Agent Markets: key Sui Seal MPC context, verified claims, market impact, and risk notes for crypto reader
Fernando Irarrázaval posted his OpenClaw assistant's inbox to Hacker News and watched Claude Opus 4.6 hold off thousands of attackers.
PLUS: Give your AI agent a credit card (safely)
In this tutorial, we build a lightweight personal AI agent inspired by the architecture of nanobot, runnable entirely in Google Colab. We start from a provider abstraction, then add tool registration, session memory, lifecycle hooks, skills, and an MCP-style tool server. Rather than rely on an external framework, we recreate each building block ourselves to see how messages, tools, memory, and model responses fit together. The result is a provider-agnostic agent loop we can extend toward real LLM providers and production tools. The post Build a Nanobot-Style AI Agent in Google Colab with Tool Calling, Session Memory, Skills, and MCP Servers appeared first on MarkTechPost.
AI-driven match analysis could level the playing field, enhancing strategic insights for all teams, but may also intensify competitive pressures. The post FIFA gives every 2026 World Cup team a bespoke AI agent for match analysis appeared first on Crypto Briefing.
