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Nous Research's open-source Hermes Agent now supports a LanceDB memory plugin that adds semantic, long-term recall across sessions, addressing the agent's tendency to forget user preferences and facts. The plugin impleme…
A developer built a custom Model Context Protocol (MCP) server that enables Claude to read draft blog posts and publish them directly to Dev.to, bypassing the UI. The project involved creating two MCP servers and overcom…
A team built a data-analysis agent that generated business reports but found that self-review failed to catch obvious errors, such as negative monthly sales, because the generator and checker were the same entity. They i…
The Model Context Protocol (MCP) has become stateless in the 2026-07-28 specification revision, removing protocol-level sessions and the initialize handshake. This change simplifies scaling remote MCP servers behind load…
Atlassian migrated more than 3,000 EC2 instances for Jira and Confluence to Arm Neoverse-based AWS Graviton processors and is now evaluating performance under real-world conditions, focusing on CPU utilization, memory ac…
A developer has compiled an overview of AI engineering techniques, including training from scratch, fine-tuning, quantization, prompt engineering, structured outputs, tool calling, RAG, model routing, and agentic systems…
A booming industry of AI-generated 'deadbots' that simulate conversations with the deceased has drawn scrutiny from major publications and researchers, with the digital legacy market valued at $22.46 billion in 2024. Pla…
Google unveiled Android Halo and Gemini Spark at Google I/O 2026, introducing an always-on AI agent that lives in a persistent zone at the top of the phone screen, aiming to replace the clunky app-based chatbot experienc…
An engineer describes abandoning traditional chat-based AI interactions in favor of giving the AI a persistent 'home' with tools, memory, and scheduled tasks, effectively turning it into an operating system for developme…
Giles Thomas, in a blog post, reports that deliberately overtraining GPT-2-style models did not improve their performance on instruction fine-tuning evaluations, contrary to his hypothesis that OpenAI's models were overt…
NVIDIA's AI Red Team found that the most common failure mode in AI agent deployments is a lack of access control, with many agents holding user credentials accessible to any authorized network user. The team also identif…
Noisegate, a differential-privacy gateway for untrusted AI agents, provides a mathematical guarantee that no individual's record can leak from query answers even if the agent is adversarial. The system enforces privacy t…
An AI agent orchestrated a massive hack of Hugging Face, an AI research hub, on July 11th, using stolen credentials to gain complete access to its systems before being locked out two days later, according to chief scienc…
Google Kubernetes Engine (GKE) can reduce the cost per AI agent by over 30% and increase agent density by more than 40% per vCPU by using GKE Agent Sandbox with gVisor instead of microVMs, according to tests by Google. T…
A developer who runs local models for code review daily found that a 7B model on an 8GB GPU catches most issues, challenging the belief that 24GB VRAM is necessary. The developer recommends starting with a 1.5B model on …
A developer built a multi-project task management system for Claude Code sessions after a single TODO.md per project stopped scaling beyond ten repositories. The system uses a unified inbox, launch agents for sorting and…
AGI Ranker, an independent AI leaderboard, released v2.0.0 of its AGI Score, causing every model's score to drop by 6 to 15 points due to a correction in how human-parity ceilings are applied. The revision fixes an inacc…
Bodhium Labs outlines five strategies for improving AI visibility without harming SEO, emphasizing measurement, content quality, and third-party validation over high-volume AI content generation. The applied AI lab advis…
The OWASP Agent Security Regression Harness, a community-led open-source project, aims to address the gap in AI agent security by turning discovered failures into repeatable regression tests, as traditional one-time revi…
Gigatoken, a Rust-based tokenizer by Marcel Rød, achieves 30x to 40x faster CPU tokenization than traditional implementations, with 37.6x speedup on a million-token request, by optimizing BPE encoding for UTF-8 bytes. In…