AgentScope — Where Agents Come Alive
AgentScope is an open-source multi-agent platform for building LLM-powered agent applications with drag-and-drop workflows, runtime management, and Sp...
Knowledge Base / Reference Repository
Summary
A comprehensive open-source knowledge base consolidating research, patterns, frameworks, and best practices for the full agentic AI lifecycle—from architecture and design to deployment, security, and operations.
Highlights
- Covers 18 structured sections spanning the entire agentic AI lifecycle from foundational concepts to production operations
- Documents 15 major agent development frameworks including LangChain, Google ADK, AWS Strands, Microsoft Agent Framework, and AutoGen
- Includes architecture patterns like 12-Factor Agents, Gartner LLM Patterns, and multi-agent orchestration approaches
- Addresses cross-cutting concerns including AI governance, security frameworks, evaluation methodologies, and MLOps
- Curated by an Agentic AI Researcher and Engineer, targeting architects, engineers, researchers, and platform teams
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Context
Audience
AI architects, LLM application engineers, platform and DevOps teams, researchers, and product leaders building agentic AI systems
DomainAgentic AI / LLM Application Architecture
Formatopen-source reference repository
Accessfree, open source on GitHub
Source Overview
This GitHub repository is a structured knowledge base for designing, building, deploying, and operating agentic AI systems at scale.
It organizes curated research, patterns, frameworks, architectures, security, evaluation, governance, and operational practices into 18 sections covering the full agentic AI lifecycle. The resource targets architects, engineers, researchers, platform/DevOps, and product/business teams working with agent-based and generative AI solutions.
Topics
Related
LangChain & LangGraphGoogle Agent Development Kit (ADK)AWS Strands AgentsMicrosoft AutoGen12-Factor AgentsGartner LLM Patterns
