Choose it for a mature conversation-based multi-agent framework, though its CC-BY-4.0 license differs from the seed's MIT.
A programming framework for agentic AI
- 61.0k
- Python
- CC-BY-4.0
agentic AI architectures / frameworks
A Python library and runnable textbook implementing 35 production-grade agentic AI architectures with multi-provider LLM support and a 17-task benchmark leaderboard.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it for a mature conversation-based multi-agent framework, though its CC-BY-4.0 license differs from the seed's MIT.
A programming framework for agentic AI
Choose it for an Apache-2.0 multi-agent orchestration framework with enterprise features instead of a comparative architecture catalog.
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose it for a minimal LangGraph Agentic RAG implementation when you don't need the seed's 35-architecture benchmark.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Choose it when you only need the supervisor multi-agent pattern as a maintained MIT LangChain package.
These projects were analysed and named all-agentic-architectures among their alternatives. The relationship is not symmetric — how all-agentic-architectures rates them is a separate judgement, made when all-agentic-architectures is analysed in its own right.
calls all-agentic-architectures “Choose for a runnable textbook/library of 35 architectures (MIT) when you need a multi-provider survey instead of a single minimal build.”
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
calls all-agentic-architectures “Choose it to reuse proven agent architectures (Reflexion, LATS, etc.) as a Python library instead of building your own orchestration.”
A programming framework for agentic AI
calls all-agentic-architectures “Runnable textbook and library of agent architectures, hands-on instead of narrative chapters.”
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
calls all-agentic-architectures “Runnable textbook covering 35 agent architectures; choose it if you want comparative, practical examples across many designs.”
《御舆:解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析,15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站:
calls all-agentic-architectures “Choose when you want a survey of many agentic architectures and a benchmark rather than a single step-by-step implementation.”
《动手学 Pi》:沿 15 个真实 checkpoint 从零构建 Pi-style Agent
calls all-agentic-architectures “Pick it when you want a pip-installable architecture library plus benchmark rather than reading material.”
AI 应用开发、AI 编程实战与面试指南,涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
calls all-agentic-architectures “choose for hands-on runnable implementations of 35 agent architectures instead of broad lessons.”
Learn it. Build it. Ship it for others.
calls all-agentic-architectures “Choose when you need runnable code for 35 agent architectures instead of a broad guide and interview prep.”
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习|数据合成