CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit

banner(“4. IN-MEMORY KV CACHE (cup.cache)”) try: from cup import cache kv = cache.KVCache(name=”demo”) kv.set({“user:1”: “alice”, “user:2”: “bob”}, expire_sec=2) kv.set({“config:flag”: “on”}, expire_sec=None) print(“size after sets :”, kv.size()) print(“get user:1 :”, kv.get(“user:1”))…

Linq’s iMessage Apps Bring Payments, Tickets, Flights, and Games Into the iMessage Bubble Through the imessage_app Part

Linq developers can now build iMessage Apps. These are interactive mini-apps that run inside a iMessages conversation. A user can shop, play a game, book a flight, or pay. None…

Anthropic Claude Sonnet 5 vs Sonnet 4.6 vs Opus 4.8: Agentic Coding Benchmarks, API Pricing, and Cost-Performance Tradeoffs Compared

Anthropic just shipped Claude Sonnet 5. They call it its most agentic Sonnet model yet. It plans, drives browsers and terminals, and runs autonomously across long tasks. Sonnet 5 is…

Top 6 No-Code Tools for AI Engineers/Developers

In today’s AI-driven world, no-code tools are transforming how people create and deploy intelligent applications. They empower anyone—regardless of coding expertise—to build solutions quickly and efficiently. From developing enterprise-grade RAG…

Meta AI Releases Brain2Qwerty v2: A Non-Invasive MEG Brain-to-Text Pipeline Decoding Typed Sentences at 61% Word Accuracy

Meta AI just introduced Brain2Qwerty v2. It decodes natural sentences from non-invasive brain recordings in real time. The system reads magnetoencephalography (MEG) signals while a person types. It reconstructs what…

OpenClaw Releases iOS and Android Companion Node Apps That Connect a Phone to a Self-Hosted AI Agent Gateway

OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that does things.’ Both apps are free to download. They are…

PyGraphistry Implementation Workflow for Interactive Graph Intelligence Pipelines in Security Analytics and Risk Investigation

base_g = ( graphistry .bind(source=”src”, destination=”dst”, node=”id”) .edges(edges_df) .nodes(nodes_df) .bind( edge=”edge_id”, edge_title=”edge_title”, edge_label=”edge_label”, edge_weight=”event_count”, edge_size=”edge_size”, point_title=”point_title”, point_label=”label”, point_color=”node_color”, point_size=”node_size”, point_x=”x”, point_y=”y” ) .settings(url_params={“play”: 0, “info”: “true”}) ) print(“\nConstructed a PyGraphistry…

NVIDIA BioNeMo Agent Toolkit Turns Biomolecular Models Into Callable Skills for AI Agents in Drug Discovery

AI scientists are becoming a new interface for scientific computing. These agents read papers, write code, generate hypotheses, call APIs, and inspect files. But science is not software engineering. No…

Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills

EverMind has released EverOS, an open-source memory runtime for AI agents. It ships under an Apache 2.0 license. It targets a problem agent builders hit early: large language models are…

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing

def _purge(*prefixes): for name in [m for m in list(sys.modules) if any(m == p or m.startswith(p + “.”) for p in prefixes)]: del sys.modules[name] def _load_ocrmypdf(): _purge(“PIL”, “ocrmypdf”) import ocrmypdf…