图文
产品工作流：覆盖互联网、SaaS常见问题，输出可复核结果。
互联网SaaS产品工作流
- 技术
- LLM · Prompt
- 周期 / 难度
- 5-15天 · 进阶
产品工作流：覆盖互联网、SaaS常见问题，输出可复核结果。
精通需求优先级排序和 Sprint 规划的产品专家，用框架和数据替代拍脑袋，确保团队永远在做最有价值的事。
产品
专注行业趋势分析和技术前瞻的研究专家，帮团队看清未来 6-18 个月的方向，在正确的时间做正确的事。
Stop wrestling with countless APIs and complex integrations. AgentDock provides the open-source foundation to build, manage, and deploy production-ready AI agen
Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
Production, scaling, multi-tenant
Simple Python framework for production-ready AI agents — 2-line creation, functions as tools, 12 lifecycle hooks, plugin system, multi-agent networking with tru
Out-of-process governance control plane for autonomous AI agents — pre-dispatch policy enforcement, approval gates, and signed audit trails for production gover
Open-source LLM observability and evaluation platform for AI agents. Traces agent runs, clusters production failures into issues, and auto-generates evals from
llama-agents is an async-first framework for building, iterating, and productionizing multi-agent systems, including multi-agent communication, distributed tool
Organizes meetings, scheduling and agenda preparation
Organize materials and set agendas for effective meetings
Deploy LangChain Agents and connect them to Telegram
🧠 Agno • 🏢 CrewAI
Reliable agents in production.
Prepares meeting materials and sets agendas
🧠 Agno • ⛓️ LangChain
LangChain, Semantic Kernel
Type-safe. Clean Pythonic API. Production-ready.
Deploy LLM Agents to production
Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
面向互联网产品团队，通过ERP落地「商机推进」：识别停滞商机并给出下一步动作。
面向互联网产品团队，通过CRM落地「方案生成」：根据需求生成方案书与FAQ。
面向互联网产品团队，通过独立站落地「告警分诊」：对安全告警分级并建议处置。