#agent loop design
2533 related articles
Product Reviews·3 min
Deep Dive into LobeHub: How a 76K-Star Open Source Platform's Multi-Agent Collaboration is Reshaping AI Workflows
Deep dive into LobeHub: a TypeScript-based multi-agent collaboration platform with 76K+ GitHub Stars. Explore its multi-agent team design, collaboration mechanisms, and industry trends.
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Tutorials·2 min
Codex CLI /goal Command Explained: AI Autonomous Looping Until Objective Complete
OpenAI Codex CLI 0.128.0 adds the /goal command for autonomous looping until objectives are met. Learn about its Ralph Loop inspiration, token budget controls, and implications for AI coding agents.
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Product Reviews·5 min
LibreChat: An Open-Source Chat Platform That Connects All AI Models Through One Interface
Deep dive into LibreChat, an open-source platform supporting GPT-5, Claude, Gemini, DeepSeek with unified access, built-in Agents, MCP protocol, code interpreter, and Docker deployment for self-hosted ChatGPT alternative.
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Product Reviews·5 min
Hugging Face Transformers: Core Architecture & Practical Guide for the 160K-Star AI Framework
Comprehensive guide to Hugging Face Transformers: pipeline API for 3-line model execution, Hub ecosystem with 800K+ models, Trainer toolchain, and multimodal support. Master this 160K-Star AI framework.
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Deep Dives·3 min
LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Streaming Multi-Type Response Design
Deep dive into Simon Willison's LLM 0.32a0 refactoring: message sequence inputs, streaming typed events, tool calling loops, and serialization for modern multimodal LLM scenarios.
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Product Reviews·5 min
Deep Dive into the Hermes-Agent Open-Source Framework: The AI Agent with 130K Stars on GitHub
NousResearch open-sources Hermes-Agent framework, earning 130K+ GitHub Stars. Deep analysis of its progressive architecture, modular design, and Hermes model integration vs. LangChain and AutoGPT.
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Deep Dives·2 min
Codex CLI /goal Command Explained: A New Paradigm for Goal-Driven Autonomous Coding Agents
OpenAI Codex CLI 0.128.0 adds the /goal command, implementing Ralph Loop-style goal-driven autonomous loops. Learn about its prompt engineering design, token budget safety mechanisms, and impact on coding agents.
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Deep Dives·3 min
QuantBrain-Agent: Building a Fully Automated A-Share Research System with Qwen2.5-72B That Delivers Reports at 9 AM Sharp Every Day
Deep dive into QuantBrain-Agent: an open-source automated A-share research system powered by Qwen2.5-72B-AWQ, LangGraph multi-agent, LoRA fine-tuning, MCP tools, and CoT+ReAct architecture.
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Deep Dives·4 min
Deep Dive into OpenAI Codex /goal: A New Paradigm Where AI Agents Work Continuously Until the Goal Is Achieved
Deep dive into OpenAI Codex CLI's /goal command: from Ralph Loop origins and three-layer protection to Rust source architecture and the goal-oriented programming paradigm shift.
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Product Reviews·3 min
Codex Browser Use Hands-On: How Powerful Is GPT 5.5's AI Browser Automation Really?
In-depth hands-on with OpenAI Codex's Browser Use and Computer Use features. See how GPT 5.5 enables browser automation, app testing, desktop control, and cross-device operation, with a full setup tutorial.
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Deep Dives·4 min
The GPT-5.5 'Goblin' Incident Deep Dive: From Hilarious Bug to the Ultimate AI Alignment Challenge
OpenAI's GPT-5.5 model collectively outputs 'goblin' vocabulary. Official technical blog reveals the root cause: reward signal generalization in reinforcement learning.
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Deep Dives·3 min
LLM 0.32a0 Major Refactor Analysis: How a Backward-Compatible Architecture Upgrade Tackles the Multimodal and Tool-Calling Era
Deep analysis of Simon Willison's LLM Python library 0.32a0 alpha: message sequences, streaming typed parts, tool calling, and the design philosophy behind backward-compatible refactoring.
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