LangChain发布未来智能体架构蓝图
LangChain展示了未来智能体的完整架构，从工作流到支付系统，帮你理解AI智能体的技术实现路径。
LangChain发布了未来智能体的架构蓝图，包含持久化工作流、计算机使用能力、记忆与技能系统、触发器和定时任务等功能。该架构通过LangSmith提供大规模可观测性，支持文本和语音渠道，并集成了连接器和身份验证。这一设计与LangChain对深度智能体的管理愿景高度一致。
this is the summary slide that describes how all agents in the future will look very much aligns with our vision for managed deepagents docs.langchain.com/langsmith/pyth… durable workflows: builds on LangGraph/LSD docs.langchain.com/langsmith/depl… can use a computer: uses Langsmith Sandboxes docs.langchain.com/langsmith/pyth… memory and skills: langsmith context hub docs.langchain.com/langsmith/pyth… Triggers and scheduled jobs: schedules docs.langchain.com/langsmith/pyth… connectors and auth docs.langchain.com/langsmith/pyth… text and voice channels docs.langchain.com/langsmith/pyth… payments and identity - only one missing! evals docs.langchain.com/langsmith/pyth… observability: massively, through langsmith docs.langchain.com/langsmith/obse… Lee Robinson @leerob How do always-on, proactive agents like @Bot work? Watch my lecture at Stanford CS146S: 2:35 How we got here 6:13 What changed in the models 10:06 Inside an always-on agent 18:07 The harness 27:26 Context engineering 34:26 Where this is going Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 11 🔄 1 ❤️ 26 👀 1477 📊 12 ⚡
