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LLM Answers & Content Strategy
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Steam Review Agent: An AI-Powered System for Automated Sentiment Analysis of Game Player Feedback
A self-hosted intelligent agent pipeline that fetches player reviews from Steam weekly, performs sentiment extraction and topic analysis via Claude, and generates weekly report emails and a persistent dashboard.
LangGraph Order Routing Agent: A Practical Guide to Building Stateful AI Customer Service Workflows
A learning project built with LangGraph that demonstrates how to construct a stateful order support agent workflow through intent routing, tool calling, evaluation loops, and safety guardrails.
SPO Semantic Reasoning Pipeline: A Training Framework for Semantic Triple Reasoning Models Based on Contrastive Learning
A pipeline that uses QLoRA to fine-tune Qwen3-0.6B, training the model to distinguish between true and false conclusions via contrastive learning (NOT_ENTAILED negative samples) to enhance semantic reasoning capabilities.
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egent-code-plexus: A High-Performance Code Intelligence Graph System for AI Agents
egent-code-plexus is a high-performance code intelligence graph specifically designed for LLMs and AI Agents. It supports sub-second structural queries, impact analysis, and cross-repository API contract management, providing strong code understanding capabilities for autonomous coding workflows.
Squadboard: A Local-First Kanban and Workflow Management System for Squad AI Agents
Squadboard is a local-first kanban and workflow management tool designed specifically for Squad AI Agents. It combines the visual advantages of traditional Kanban with the automation features of AI Agent workflows, enabling teams to intuitively manage and monitor the task execution of AI Agents.
OpenVINO GPU Inference Performance Evaluation Tool: ov-impact-bench - Real-World Testing of Intel GPU LLM Inference Performance
ov-impact-bench is a tool specifically designed to measure the inference performance of large language models (LLMs) using OpenVINO on Intel GPUs. It can quantify the real performance differences between GPU and CPU fallback, covering key metrics such as latency, energy consumption, and throughput.
Memory Lane: A Local-First Persistent Memory System for AI Coding Assistants
A cross-platform, lightweight AI agent memory system that requires no database or MCP server. It implements persistent context management across sessions, projects, and agents via the file system, supporting semantic retrieval and approval workflows.
Titan Orchestrator: A Distributed Agentic Workflow Orchestration Engine Built from Scratch
Titan is a zero-dependency distributed execution runtime that enables unified orchestration of static DevOps pipelines and dynamic Agentic AI workflows through a custom DAG scheduler, binary protocol, and AOF persistence storage.
Lance-Quant: 4-bit Quantization Toolkit for ByteDance's Lance Multimodal Model
A customized 4-bit quantization solution for ByteDance's Lance multimodal large model, supporting both AWQ INT4 and NVFP4 formats. It achieves high-quality compression via task-aware calibration, reducing a 24.7GB model to 4.3GB.
Agent Workflows: Enterprise-Grade AI Agent Skill Library, Covering 188 Professional Skills Across 42 Vertical Domains
An in-depth analysis of the Agent Workflows project—an open-source library containing 188 assessable AI agent skills, covering 42 enterprise vertical domains such as finance, law, operations, and marketing, providing standardized skill definitions for building production-grade AI agents.
Free LLM Hub: 187+ Large Model API Unified Directory, One-Stop Navigation for Open-Source LLM Ecosystem
Introducing Free LLM Hub—a community-driven open-source project that aggregates over 187 LLM APIs, inference engines, gateways, and open-source ecosystem resources, providing a complete navigation of large model services for developers and researchers.
CloudCruise CLI: A Browser Automation Workflow Management Tool Designed for AI Coding Assistants
An in-depth introduction to CloudCruise CLI—a command-line tool built for AI coding assistants like Claude Code and Cursor, used to manage and maintain browser automation workflows, enabling AI agents to understand and fix automation processes.
Singularmem: A Local-First Persistent Memory Layer for LLM Workflows
Explore Singularmem—an open-source project built with Rust, SQLite, TypeScript, and Flutter that provides a local-first persistent memory layer for LLM-driven workflows, addressing the long-standing pain point of context loss in AI assistants.
Swinburne Student Project: LLM Chat Application Based on OpenRouter and Complete DevOps Pipeline Practice
Introducing a Swinburne University of Technology student project—a Python web application mimicking the Google Gemini interface, integrating large language models via OpenRouter, and implementing a four-layer DevOps pipeline from CI/CD to automated deployment.
LegalMove API: An Intelligent Contract Comparison System Based on Multimodal Large Models
A FastAPI service that uses GPT-4o Vision to automatically compare contracts and attachments, featuring asynchronous processing, strict Schema validation, and security hardening.
LLM Portfolio Journal: A Large Model-Driven Intelligent Portfolio Analysis System
A SQLite database system integrating brokerage data, market quotes, and social media, leveraging large language models to generate portfolio daily reports, sentiment insights, and visual reports.
LLM Jailbreak Research: A Security Exploration of Adversarial Prompting and Jailbreak Attacks
A research project focusing on adversarial prompting and jailbreak attacks against large language models, exploring LLM security boundaries and protection mechanisms.
FLARE: A Universal Framework for Performance Analysis of Large Language Model Inference
FLARE is a hardware-vendor-agnostic analysis framework for evaluating and optimizing the inference performance of large language models (LLMs), supporting co-design from algorithms to hardware.
ZGI: Open-Source AI Application Development Platform, One-Stop Solution from Prototype to Production
ZGI is an open-source AI application building platform that integrates workflow design, agent orchestration, dataset management, and model integration, helping developers quickly turn AI prototypes into production-grade applications.
Self-Enhancing Large Language Model Architecture: Enabling Enterprise AI with Continuous Self-Evolution Capabilities
Explore an enterprise-level self-enhancing AI system architecture that can continuously learn, expand knowledge, and improve reasoning capabilities, breaking through the limitations of traditional static AI pipelines.
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