#multi-step engineering
1701 related articles
Tech Frontiers·3 min
workers-research: A Practical Guide to Building AI Deep Research Agents with Cloudflare Workers
A deep dive into how the open-source workers-research project combines Cloudflare Workers serverless architecture with Google Gemini 2.5 to build an automated deep research AI agent.
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Deep Dives·2 min
SAP AI Core LLM Proxy: An Enterprise-Grade Proxy for Unified Access to GPT-5 and Other Leading LLMs
Deep dive into SAP AI Core LLM Proxy, an open-source project providing unified OpenAI-compatible access to GPT-5, Claude 4.6, and Gemini 2.5 Pro for enterprise multi-model management.
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Product Reviews·3 min
Deep Dive into CowAgent: What's Behind This 44,000-Star Open Source AI Assistant?
Deep dive into CowAgent, a GitHub project with nearly 44,000 stars. Explore its task planning, multi-platform integration, multi-model support, and how this LLM-powered AI assistant serves as both personal helper and enterprise digital employee.
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Product Reviews·2 min
agency-agents-zh: 211 Plug-and-Play AI Expert Roles Covering 18 Departments and 16 Tools
agency-agents-zh offers 211 plug-and-play AI expert roles supporting Claude Code, Cursor & 16 tools across 18 departments, with 46 original Chinese market agents.
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Product Reviews·3 min
Crafta-Bench: A Deep Dive into the Benchmark Tool for Cursor Background Agents
Deep dive into the crafta-bench open-source project, a benchmark tool designed for Cursor Background Agents. Explore AI coding Agent evaluation dimensions, industry trends, and practical implications.
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Product Reviews·3 min
Deep Dive into CowAgent: How This 44K-Star Open Source Project Builds a Super AI Assistant
Deep dive into CowAgent (chatgpt-on-wechat), a 44K-star GitHub project featuring AI Agent capabilities, multi-platform integration with WeChat/Feishu/DingTalk, and multi-model support for building your own AI assistant.
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Tutorials·2 min
awesome-llm-skills: Cross-Platform AI Agent Skill Library Guide & Resource Collection
Explore awesome-llm-skills, an open-source curated list of AI Agent skills compatible with Claude Code, Codex, and Gemini CLI, with resources and best practices for Agent workflows.
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Product Reviews·3 min
Deep Dive into CowAgent: The Open-Source AI Assistant with 44,000 Stars
Deep dive into CowAgent (formerly chatgpt-on-wechat), a 44K-star GitHub project offering Agent capabilities, multi-platform integration with WeChat/Feishu, and multi-model support including DeepSeek.
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Product Reviews·3 min
GitHub 8000+ Stars: A Deep Dive into awesome-LLM-resources — The Most Comprehensive Large Language Model Resource Collection
Deep dive into the GitHub 8000+ star project awesome-LLM-resources, covering LLM training, multimodal generation, AI Agents, MCP protocol, AI-assisted coding, and more for developers.
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Product Reviews·3 min
Flow-Next Open-Source Plugin: Making AI Coding Assistants Plan Before They Code
Flow-Next is a plan-first workflow plugin for AI coding assistants like Claude Code, OpenAI Codex, and Factory Droid, offering zero-dep task tracking, worker subagents, and cross-model reviews.
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Tech Frontiers·2 min
Claude Memory Compiler: An Open-Source Solution for Giving AI Coding Assistants Persistent Memory
Claude Memory Compiler is an open-source project that builds an evolving memory system for Claude Code through a three-layer automated pipeline, solving the persistent amnesia problem of AI coding assistants.
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Tech Frontiers·2 min
Breaking Down the Claude Code SDK Demo Project: Hands-On AI Agent Development from Anthropic's Open Source Release
Deep dive into Anthropic's open-source claude-agent-sdk-demos project, covering Claude Code SDK core capabilities, TypeScript demos, multi-step task orchestration, and tool call integration for AI agent development.
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Deep Dives·2 min
Open Multi-Agent: A TypeScript Multi-Agent Orchestration Framework with Automatic Task DAG Generation
Deep dive into Open Multi-Agent, a TypeScript-native multi-agent orchestration framework with automatic task DAG generation, MCP integration, live tracing, and only three runtime dependencies. 6000+ GitHub Stars.
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Tech Frontiers·2 min
JetBrains Open-Sources Koog Framework: Building Enterprise-Grade AI Agents with Kotlin
JetBrains open-sources Koog AI Agent framework built on Kotlin Multiplatform for full JVM deployment. Explore Koog's core features, fault-tolerant design, and advantages over Python frameworks.
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Deep Dives·3 min
754 Cybersecurity Skills Library: An Analysis of the Open-Source AI Agent Security Capability Map
Anthropic open-sources 754 structured cybersecurity skill definitions across 26 domains, mapped to MITRE ATT&CK and 4 other frameworks, compatible with 20+ AI platforms for standardized AI Agent security capabilities.
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Product Reviews·1 min
Cube Studio: Deep Dive into Tencent's Open-Source Cloud-Native All-in-One AI Platform
Deep dive into Cube Studio, Tencent's open-source cloud-native AI platform covering the full MLOps lifecycle from data labeling to large model training and inference deployment.
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Product Reviews·3 min
Artificial: A Go-Based Framework for Orchestrating Claude Code and Multiple AI Coding Assistants
Artificial is a Go open-source multi-agent orchestration framework that unifies Claude Code, OpenAI Codex, Cursor Agent, and local models for parallel AI coding workflows.
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Product Reviews·2 min
Claude Code Prompt Optimizer: Using AI to Automatically Rewrite Prompts for Better Code Generation
Explore claude-code-prompt-optimizer: an open-source tool using Hook interception and Claude Opus to auto-rewrite simple prompts into structured instructions, boosting Claude Code output quality.
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Product Reviews·2 min
The Complete Guide to AnythingLLM: A Privacy-First AI Productivity Tool for Local Deployment
Deep dive into AnythingLLM, a privacy-first open-source AI tool for local deployment. Covers RAG document chat, multi-model support, AI Agents, and more — zero config, nearly 60K GitHub Stars.
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Product Reviews·3 min
awesome-LLM-resources: Deep Dive into a GitHub 8000+ Star LLM Resource Collection
Deep dive into GitHub's 8000+ star project awesome-LLM-resources, covering AI Agents, model training, MCP protocol, multimodal generation and more across 10 core LLM directions.
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