71 related articles

Laguna S 2.1 launches with flexible deployment strategies supporting cloud API, on-premise, and managed services. Analysis of its deployment-first philosophy covering data sovereignty, cost control, and vendor lock-in.

Keystroke is a YC-backed open-source AI agent platform that lets you build, connect, test, and deploy agents using natural language descriptions, with memory, workflows, triggers, approvals, and 1000+ integrations.

Explore AI development tool mashups: model layering with DeepSeek Flash, flagship model selection, Antigravity CLI, and practical strategies for model routing and tool composition.

FindDiskKiller is a free open-source macOS disk activity monitor that tracks per-process I/O, monitors AI coding assistants' disk usage, and includes SMART/NVMe health checks to protect your Mac SSD.

Choose an AI Agent platform by evaluating model flexibility, observability, tool integration, security compliance, and total cost. A complete decision framework to avoid vendor lock-in.

Deep analysis of LLM agent long-term memory security threats, covering persistence, statefulness, and propagation of memory poisoning, with a six-stage lifecycle defense framework.

The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.

HuggingHack releases major updates with S3/MinIO storage, Ollama + vLLM dual-engine scheduling, GGUF inspection, and local accounts for enterprise-grade local LLM management.

A Vue3 beginner tutorial centered on "learn just enough, apply immediately." A three-stage path covers reactivity, Composition API, Element Plus, and data visualization, culminating in an enterprise-grade AI health monitoring system with blood sugar management, RAG consultation, and doctor-patient collaboration.

A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.

An in-depth guide to Anthropic's Claude Code agentic coding tool, covering installation, pricing plans, model selection, token management, CLAUDE.md global memory, MCP integration, Subagents, and more.
Cognee: The Open-Source Knowledge Grap…
Cognee is an open-source AI memory platform using knowledge graphs to give AI agents persistent cross-session memory. Self-hosted, graph + vector hybrid retrieval. 28K+ GitHub stars.

Waveloom is an open-source terminal coding Agent deeply optimized for DeepSeek, with cache hit rates near 99% to drastically cut token costs. Supports Linux, Windows, macOS, and Claude Code Skills.

Viktor is a Slack-native AI employee with 3,000+ integrations and team-shared context. Learn how it evolved from browser agents to company-level AI, tackling memory, permissions, and proactivity.
GitHub Daily · July 16: AI Agent Secur…
Today's GitHub Trending: AI Agent security tool destructive_command_guard surged +471 stars, hallmark's anti-AI-slop design pack jumped +1,277, and OpenCut leads as the open-source CapCut alternative.

Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.
Adaptive Recall: A Deep Dive into Pers…
Adaptive Recall uses MCP (Model Context Protocol) to give AI assistants like Claude persistent memory across sessions, featuring vector storage, semantic retrieval, and adaptive forgetting.

Conversational AI shines in the lab but fails in real conversations. This article analyzes voice assistants' core weaknesses—model architecture or overly "clean" data? Covering ASR, VAD, and end-to-end systems engineering.

How can you prepare efficiently for a Java backend interview? This article breaks down the core methodology of "process-driven interview engineering," covering resume optimization, understanding principles, scenario analysis frameworks, and production troubleshooting.

AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.