#GPT integration
2744 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
LiteLLM: A Deep Dive into the Open-Source Gateway for 100+ LLM APIs
Deep dive into LiteLLM, the open-source AI gateway supporting 100+ LLM APIs with a unified OpenAI format. Covers core features, usage modes, and enterprise use cases.
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Deep Dives·3 min
Leashed Open-Source Framework: A Practical Guide to AI Agent Permission Control and Security Governance
Explore Leashed, an open-source security framework for AI Agents offering policy control, audit trails, and Kill Switch mechanisms to build safe, controllable AI agent applications.
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Product Reviews·3 min
SpecMint: A Spec Management Tool That Solves Context Loss for AI Coding Agents
SpecMint Core is an open-source tool providing persistent spec management for AI coding agents like Claude Code and Cursor, solving context loss with deep research, iterative interviews, phased implementation, and context recovery across 8 major AI coding tools.
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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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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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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·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·2 min
Fay Open-Source Agent Framework: The Connection Layer Between Digital Humans and Business Systems
Fay is an open-source Agent framework with 12,700+ GitHub Stars, connecting digital humans, LLMs like DeepSeek, and enterprise systems for customer service, virtual streaming, and more.
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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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Product Reviews·3 min
Datus-agent: An AI-Native CLI Tool Reshaping Data Engineering with Context Engineering
Deep dive into Datus-agent, an open-source AI-native CLI SQL client that brings Context Engineering to data engineering with natural language queries and modern data stack support.
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Product Reviews·4 min
cased/kit: An Open-Source Toolkit for Context Engineering in AI Coding — Code Search and Symbol Extraction
cased/kit is an open-source Python toolkit for context engineering, providing AI coding assistants with codebase mapping, symbol extraction, and multi-mode code search capabilities.
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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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Product Reviews·3 min
Dash Open-Source Data Agent: 6-Layer Context Anchoring + Self-Learning That Gets Smarter with Use
Deep dive into Dash by agno-agi: a self-learning data agent built on systems engineering principles, featuring 6-layer context anchoring and query-driven continuous evolution.
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Product Reviews·3 min
MineContext: ByteDance's Open-Source Context Engineering AI Assistant — Technical Deep Dive Behind 5,300+ Stars
Deep dive into ByteDance Volcengine's open-source MineContext — a proactive context-aware AI assistant. Explore Context Engineering, ChatGPT Pulse integration, and real-world applications.
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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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Deep Dives·3 min
Deep Dive into Claude Code's System Prompts: A 10K-Star GitHub Project Reveals How AI Coding Assistants Work Under the Hood
Deep analysis of the 10K-star GitHub project claude-code-system-prompts, fully deconstructing Claude Code's system prompts, 24 built-in tools, and sub-agent architecture for prompt engineering and AI Agent development.
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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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