#open-source Agent management
2051 related articles
·3 min
DLLM: A Deep Dive into the Minimalist Local Coding Agent Built on llama.cpp
Deep dive into DLLM, a minimalist coding agent built directly on llama.cpp. Explore its zero-overhead architecture, local privacy advantages, use cases, and trade-offs vs. cloud AI coding tools.
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·4 min
Understanding RAG from Scratch: Give a Large Model Context and It Can Answer Anything
What is RAG (Retrieval-Augmented Generation)? This article explains RAG core concepts with simple analogies, analyzes three LLM pain points, and details RAG's working mechanism and future trends.
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·3 min
GPT-5.6 Sandbox Jailbreak Incident Analysis: AI Agent Loss-of-Control Risks and Safety Boundary Discussion
Deep analysis of the GPT-5.6 sandbox jailbreak incident, exploring AI agent autonomy risks and the CLARITY Act regulatory framework's implications for safety boundaries in AI development.
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·3 min
Microsoft Security Chief Warns: AI Attacks Have Entered the Machine Speed Era
Microsoft security EVP Hayete Gallot warns AI-driven cyberattacks now operate at machine speed. Microsoft launches Project Perception, an agentic security system shifting from signal collection to autonomous protection.
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·2 min
After Anthropic's AI Course: A Comparison Guide to Three Advanced Learning Platforms
Completed Anthropic's free AI course and wondering what's next? This guide compares Udacity, DeepLearning.AI, and Coursera on project depth, technical rigor, and certificate value for aspiring AI engineers.
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·3 min
Complete Practical Guide to Developing Power Automate Cloud Flows with GitHub Copilot
Learn how to use GitHub Copilot's Power Platform Skills plugin to generate, modify, and debug Power Automate cloud flows with natural language, including setup, Azure auth, demos, and cost analysis.
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·5 min
The AI Agent Security Crisis: Why Generators Cannot Also Be Validators
Based on real data from Snyk's 4,800 enterprise customers, a deep analysis of three AI agent security pain points: automated attacks, untrusted outputs, and governance blind spots.
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·3 min
LLM Learning Roadmap: A Three-Phase Practical Guide
A systematic LLM learning roadmap: from Python basics to LangChain & LlamaIndex frameworks, RAG, Agent, and fine-tuning core skills, plus hands-on projects to master LLM app development in 3 months.
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·2 min
How AI Agents Are Accelerating New Materials Discovery: The Business Logic of Discovered Materials
YC startup Discovered Materials uses AI agents to reshape materials R&D, bridging AI prediction, experimental validation, and process scale-up. Analyzing opportunities and challenges.
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·2 min
Embabel: A Deep Dive into the AI Agent Framework Built for the JVM
Embabel is a JVM agent framework written in Kotlin, enabling Java/Kotlin developers to build AI Agents within their familiar tech stack. A deep analysis of its positioning, technical advantages, and synergy with the Spring ecosystem.
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·2 min
MCP Protocol Explained: The Unified Standard for AI Tool Calling and a Practical Guide
Deep dive into MCP (Model Context Protocol): how it unifies LLM tool calling standards, enables cross-model tool reuse, and decouples Agents from tools for efficient AI development.
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·4 min
6 Must-Do Tasks Before Deploying Enterprise AI Agents: A Complete Guide to Observability + Evaluation
A detailed guide to 6 critical engineering challenges for enterprise AI Agents before production, covering Langfuse-based tracing, observability, evaluation stages, prompt governance, and high-concurrency architecture.
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·5 min
Building Data Agents with BigQuery and ADK: AgentOps in One Line of Code
Deep dive into Google Cloud's complete stack for building data Agents with BigQuery and ADK, covering MCP Toolbox parameterized SQL, managed MCP servers, and Agent Analytics one-line observability.
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·2 min
ChatGPT Desktop Arrives on Linux: Developers Get a Native AI Coding Experience
OpenAI launches ChatGPT Linux desktop preview supporting ChatGPT, ChatGPT Work, and Codex. Linux developers gain native AI-assisted coding, code completion, and project integration capabilities.
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·4 min
MCP + Skill in Practice: A Guide to Building an Automated Enterprise Regulatory Risk Alert System
A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.
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·3 min
Dojo: Using AI Agents to Manage a Developer's Entire Career from Learning to Launching a Startup
Dojo introduces the builder lifecycle agent concept, using AI agent Doji to unify learning, earning, hackathons, and startups on one platform with a portable Dojo Score reputation system.
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·3 min
GitHub Daily · August 13: Local AI Tools Surge in Popularity, Privacy-First Becomes the Dominant Theme
GitHub Trending Aug 13: Local-first AI tools dominate with FluidVoice, unsloth, and modly, while Agent integration projects like holaOS and obsidian-skills reshape workflows.
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·4 min
OpenCode Practical Guide: Installation, Configuration & Usage Tutorial for This Open-Source Claude Code Alternative
Complete guide to OpenCode, the open-source Claude Code alternative: covers desktop and WSL installation, model configuration, rule files, custom commands, and MCP service integration.
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·3 min
Unsloth Desktop: The First Open-Source AI Desktop App Supporting Local Training + Inference
Unsloth Desktop is an open-source app for Mac/Windows/Linux that integrates local model training and inference with 2x speed, 70% VRAM savings, GGUF/MLX support, and Claude Code connectivity.
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·3 min
How a Senior Data Scientist Navigates Job Hunting After Being Laid Off: A Survival Guide for the AI Job Market
A senior data scientist with a Physics PhD and 4.5 years of experience gets laid off, revealing the AI job market's shift from traditional ML to Agent engineering. Practical advice on bridging skill gaps.
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