#Crew
698 related articles
Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents 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.
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Product Reviews·3 min
Team Memory MCP: A Deep Dive into the Shared Memory System for AI Coding Agents
Deep dive into team-memory-mcp, an open-source shared memory system for AI coding agents like Claude Code and Cursor, featuring Bayesian confidence scoring and temporal decay via MCP protocol.
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Tech Frontiers·2 min
Microsoft Open-Sources GitAGU: A Unified Platform for Managing AI Agent Development Workflows
Microsoft open-sources GitAGU (Git Agent Unblock), a centralized platform for discovering, configuring, and integrating AI agents into development workflows across the full SDLC.
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Product Reviews·4 min
OpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
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Product Reviews·3 min
Skill-Agent: A Production-Grade AI Agent Framework Built on FastAPI with 100+ LLM Support
Deep dive into Skill-Agent, an open-source FastAPI framework integrating 100+ LLM providers, MCP tool protocol, multi-agent collaboration, RAG knowledge base, and sandbox execution for enterprise AI Agent development.
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Product Reviews·3 min
Deep Dive into AGGO Framework: A New Go-Based Choice for Enterprise AI Agents
Deep dive into AGGO—an enterprise AI Agent framework built with Go and CloudWeGo Eino, covering conversational AI, RAG, memory systems, and tool calling, with Go's performance advantages.
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Tutorials·2 min
OpenClaw Orange Book: An In-Depth Guide to the Open-Source AI Agent Framework
In-depth look at the OpenClaw Orange Book open-source project covering AI Agent framework components, tech ecosystem, and practical development methodology.
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Tutorials·3 min
LangGraph E-commerce AI Agent in Practice: From RAG Q&A to Automated Return Workflows
Deep dive into the E-commerce-Smart-Agent open-source framework built with LangGraph and FastAPI, covering RAG knowledge base Q&A, return workflow automation, and graph-based orchestration.
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Product Reviews·2 min
Lingque AI Agent Framework: A Self-Controlled Solution for Private Deployment
Lingque is a Python-based open-source AI Agent framework supporting fully private deployment with data sovereignty. This article analyzes its technical features, use cases, and advantages over LangChain.
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Tutorials·3 min
Hermes Agent Chinese Guide: 16 Volumes, 300K Words from Beginner to Multi-Agent Orchestration
Deep dive into hermes-agent-guide: a 16-volume, 300K-word Chinese manual covering installation, memory systems, skill ecosystems, multi-Agent orchestration, and enterprise deployment.
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Product Reviews·3 min
Micro-Agent: Fudan University's Open-Source Lightweight AI Agent Framework Built for Vertical Domains
Micro-Agent is a lightweight AI Agent framework open-sourced by Fudan University, focused on vertical domain applications. It offers streamlined architecture, low learning costs, and high customization flexibility compared to heavyweight frameworks like LangChain.
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Product Reviews·3 min
Agentica Open-Source Framework Review: A Lightweight Async AI Agent Development Alternative
In-depth review of Agentica, an open-source AI Agent framework featuring async-first architecture, tool calling, RAG, multi-agent collaboration, and MCP protocol support, with comparisons to LangChain and other mainstream frameworks.
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Tutorials·3 min
Hermes Agent Orange Book: A Practical Guide to the 3600+ Star Open-Source AI Agent Framework
A deep dive into Nous Research's Hermes Agent open-source AI framework and the community Orange Book guide covering tool calling, reasoning, multi-Agent collaboration, and more.
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Deep Dives·4 min
Deep Dive into Claude Code Source Code: A Complete Guide to Agent Loops, Context Engineering, and Architecture Design
Deep analysis of Claude Code's source architecture: Agent loop mechanism, context engineering strategies, tool system design, and permission controls. Based on the viral GitHub project how-claude-code-works.
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Tutorials·4 min
A Practical Guide to Context Engineering: The Path from Prompt Engineering to Production-Grade AI Systems
A deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
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Tutorials·3 min
Dissecting a 10K-Star Open Source Project: The Complete Practical Guide to Agent Context Engineering Skills
Deep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.
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Tutorials·3 min
74K Stars on GitHub: The Most Comprehensive Open-Source Learning Guide for Prompt Engineering, RAG & AI Agents
Deep dive into the 74K-star GitHub project Prompt Engineering Guide, covering prompt techniques, context engineering, RAG, AI Agents, and complete learning paths for developers.
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Product Reviews·3 min
Agnix: The First Linter for AI Coding Assistant Configuration Files, with LSP Real-Time Validation
Agnix is the first Linter and LSP tool for AI coding assistant config files like CLAUDE.md and AGENTS.md. Built in Rust, it offers real-time validation, auto-fix, and IDE integration.
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Product Reviews·3 min
PaperOrchestra Open Source Project Explained: Automatically Generating Research Papers with Coding Agents
PaperOrchestra is an open source AI paper writing tool based on Google's research. It uses coding agents like Claude Code and Cursor to automate the full research paper workflow without API keys.
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Product Reviews·3 min
NekroAgent Open-Source Framework: AI Agent Solution Supporting QQ, Discord, and Multiple Platforms
Deep analysis of NekroAgent open-source AI Agent framework supporting QQ, Discord, Telegram and more, with sandbox execution, long-term memory, MCP management, and visual console for multi-user scenarios.
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