#open-source agent
2880 related articles
Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Tutorials·3 min
One Month Into My Internship Without Writing a Single Line of Code: A Practical Guide to AI Agent Coding
AI agent coding is now reality in 2025. Learn how to set up OpenCode with DeepSeek and let AI agents write your code through conversation, not copy-paste.
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Deep Dives·3 min
Deep Dive into Hermes Agent: A Self-Evolving AI Framework That Uses Fewer Tokens Than OpenManus
Deep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
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Tutorials·2 min
AI Canvas Agent Is Here: How to Use Node-Based Creative Workflows
A deep dive into AI canvas node-based creative workflows, covering AI image generation, video generation, 4K output, and multi-model orchestration for visual AI content creation.
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Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·3 min
Hands-On Testing OpenAI's Four New APIs: From GPT-4 Turbo to AI Agent Commercial Deployment
Hands-on testing of OpenAI's GPT-4 Turbo, DALL·E 3, Vision, and TTS APIs on AI2Apps, building an AI Agent that auto-generates novel covers from text.
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Tech Frontiers·2 min
Datasette Launches Official Blog: Simon Willison Built It from Scratch with OpenAI Codex
Datasette founder Simon Willison launches official blog built with OpenAI Codex Desktop, sharing full AI session transcripts and demonstrating transparent AI-assisted development practices.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Tutorials·4 min
Complete Guide to Agentic RAG: Principles, Architecture, and Hands-On Implementation
Deep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
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Tutorials·4 min
Agentic RAG Practical Guide: The Complete Evolution from Traditional RAG to Agent-Based Retrieval
Deep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
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Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
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Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·4 min
The Complete Guide to Agentic RAG: Principles and Code Implementation
Deep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
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