langgraph rising this week
Tools tagged “langgraph” gaining momentum, ranked by rate of change.
- 40· newfullstack-ai-agent-roadmap🎯 从零基础到 AI Agent 全栈工程师 · 110 个详细教程 · 58 万字 · 400+ GitHub 项目精选 · Obsidian 友好 · 中文ai-agentsmcp-servers+1564.7
- 105· newai-agents-from-zero📊 电商数仓智能问数 AI Agent，最适合用于系统学习 LangGraph 的实战项目：基于 LangGraph、FastAPI、Qdrant、Elasticsearch、MySQL 与 React，完整实现元数据知识库、混合检索、自然语言生成 NL2SQL 生成校验、SQL 执行与流式查询展示。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、数据分析 Agent 和企业级 AI 工程落地。ai-agentsmcp-servers+2858.7
- 188· newjobsmithNew針對台灣求職市場的開源多代理 AI 求職 co-pilot：自動找職缺、履歷健檢、一鍵產生客製投遞包（履歷・求職信・面試準備・公司情報）與模擬面試。本機 Claude Code／Codex CLI 免 API key，也可自備金鑰接 OpenAI 相容模型。ai-agentsai-dev-tools+1955.3
- 191· newdeepagents-in-action📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南ai-agentsagentic-ai+955.2
- 284· newAdrianOpen-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.ai-agentsmcp-servers+1951.4
- 342· newawesome-unipds-projectsA curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.ai-agentsmcp-servers+947.2
- 348· newspec2caseSpec2Case 是生产级 AI 测试用例生成智能体，支持图片/文本需求理解、人工确认、LangGraph 流程编排和 Excel 用例导出。ai-agentsai-agent+847.1
- 353· newCyberClaw👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态ai-agentsai-dev-tools+1446.6
- 385· newagent-systems-handbookA practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.ai-agentsai-dev-tools+2144.0
- 467· newagent_java_offer公开的 Java 后端 / AI Agent / 系统设计 / 算法面试复习资料库ai-agentsrag-eval+840.0
- 729· newleanctxDrop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.rag-evalanthropic+1118.3
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