1182 related articles
Deep DivesDeep dive into AgentPay, an open-source project enabling AI agents to autonomously provide DeFi optimization, smart contract auditing services and settle payments via stablecoins in a decentralized marketplace.
Product ReviewsDeep dive into the AutoGPT open-source project, covering its autonomous AI agent architecture, core features, use cases, and future development. Learn how this 184K-Star GitHub project makes autonomous AI accessible to everyone.
Deep DivesDeep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
Product ReviewsUnsloth is an open-source LLM training tool with 63K+ GitHub stars, supporting Gemma 4, Qwen 3, DeepSeek. Reduces VRAM by 50–80%, enabling RTX 4090 to fine-tune 7B models with a no-code Web UI.
Tech FrontiersGuardrails AI's PyPI package guardrails-ai 0.10.1 was hit by the Mini Shai-Hulud supply chain attack, along with TanStack and Mistral. Full analysis and developer remediation guide inside.
Tech FrontiersDeep dive into LLM 0.32 alpha's two core refactorings: message sequence API aligned with OpenAI format, stream_events for typed streaming responses, serialization design, and backward compatibility.
Tech FrontiersDeep dive into the open-source company-research-agent: LangGraph multi-agent architecture + Tavily search + dual-LLM collaboration for automated company due diligence and competitive intelligence.
Deep DivesA deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
TutorialsComplete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Tech FrontiersLlamaIndex official integrations get a major overhaul covering API optimization, documentation improvements, and unified interfaces. Learn the impact on RAG and LLM app development with migration tips.
Tech FrontiersAndrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
Tutorialsawesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
Product ReviewsIn-depth review of MiroFlow open-source AI workflow framework: technical architecture behind 5+ benchmark Top-1 rankings, multi-model support, Web UI, and comparison with LangChain and Dify.
Tutorialsruby-openai is an open-source library with 3,200+ GitHub stars, supporting GPT-5 and WebRTC real-time voice. Learn how to integrate OpenAI API into Ruby on Rails for AI-powered apps.
Product ReviewsDeep dive into PyGPT, an open-source desktop AI assistant supporting GPT-4, Claude, Gemini, Ollama local models, with built-in RAG, agents, voice interaction, and image generation.
TutorialsA deep dive into the MLflow open-source AI engineering platform, covering experiment tracking, LLM evaluation, model deployment, and monitoring to help teams efficiently manage the ML lifecycle.
Product ReviewsDeep dive into MaxKB, an open-source enterprise agent platform with 20K+ GitHub Stars. Explore its RAG capabilities, multi-model integration, visual orchestration, and comparison with Dify and FastGPT.
Product ReviewsDeep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring for RAG and Agent workflows.
Product ReviewsDeep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring. 19K+ GitHub stars.
Tech FrontiersDeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.