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Open service 52.0.59.237:443 · aiagents.billing.plimlab.com

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Page title: AI Agent Template — End-to-End Architecture

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    <meta content="AI Agent Template — Build Your Own Intelligent AssistantDeploy a complete, production-ready AI Agent with our comprehensive template. This isn&#39;t just boilerplate code — it&#39;s a fully architected system designed for real-world applications.What You Get:A complete end-to-end AI Agent architecture with all core components:□ Reasoning Engine (Brain) — Goal-setting, planning, and decision-making logic powered by LLMs□ Memory System — Persistent memory with vector database integration for context-aware responses□ Tool Integration — Pre-built connectors for web search, APIs, documents, and external services□ Task Management — Built-in task queue, prioritization, and execution tracking□ Support System — Customer support automation with ticket handling and escalation logic□ Plaud AI Integration — Ready-to-use integration with Plaud AI for voice transcription and meeting notes□ Newsletter Engine — Automated newsletter generation with content personalization and schedulingArchitecture Highlights: RAG Pipeline — Retrieval-Augmented Generation for knowledge-grounded responses Modular Design — Swap components, add new tools, extend functionality API-First — FastAPI backend ready for deployment Multi-LLM Support — Works with OpenAI, Anthropic, Google, local models Vector Storage — Pinecone, Weaviate, ChromaDB compatible Tech Stack Included: Python 3.11+ LangChain / LangGraph FastAPI Vector Database connectors Async task processing Webhook handlers Docker configuration Use Cases:→ Customer Support Automation → Internal Knowledge Assistant → Content Generation &amp;amp; Newsletters → Meeting Transcription &amp;amp; Summaries → Task &amp;amp; Project Management → Research &amp;amp; Data AnalysisWhat&#39;s in the Package:/ai-agent-template ├── /agent # Core agent logic ├── /memory # Memory &amp;amp; vector store ├── /tools # Tool integrations ├── /api # FastAPI endpoints ├── /tasks # Task management ├── /integrations # Plaud AI, Newsletter, etc. ├── /config # Environment &amp;amp; settings ├── /tests # Test suite ├── docker-compose.yml └── README.mdHow It Works: Download — Get instant access to the complete source code Configure — Set your API keys and preferences Deploy — Run locally or deploy to your cloud Customize — Extend with your own tools and integrations &quot;Your AI Agent. Your rules. Your infrastructure.&q

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Open service 54.157.11.27:443 · aiagents.billing.plimlab.com

2026-01-24 16:02

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Page title: AI Agent Template — End-to-End Architecture

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    <meta content="AI Agent Template — Build Your Own Intelligent AssistantDeploy a complete, production-ready AI Agent with our comprehensive template. This isn&#39;t just boilerplate code — it&#39;s a fully architected system designed for real-world applications.What You Get:A complete end-to-end AI Agent architecture with all core components:□ Reasoning Engine (Brain) — Goal-setting, planning, and decision-making logic powered by LLMs□ Memory System — Persistent memory with vector database integration for context-aware responses□ Tool Integration — Pre-built connectors for web search, APIs, documents, and external services□ Task Management — Built-in task queue, prioritization, and execution tracking□ Support System — Customer support automation with ticket handling and escalation logic□ Plaud AI Integration — Ready-to-use integration with Plaud AI for voice transcription and meeting notes□ Newsletter Engine — Automated newsletter generation with content personalization and schedulingArchitecture Highlights: RAG Pipeline — Retrieval-Augmented Generation for knowledge-grounded responses Modular Design — Swap components, add new tools, extend functionality API-First — FastAPI backend ready for deployment Multi-LLM Support — Works with OpenAI, Anthropic, Google, local models Vector Storage — Pinecone, Weaviate, ChromaDB compatible Tech Stack Included: Python 3.11+ LangChain / LangGraph FastAPI Vector Database connectors Async task processing Webhook handlers Docker configuration Use Cases:→ Customer Support Automation → Internal Knowledge Assistant → Content Generation &amp;amp; Newsletters → Meeting Transcription &amp;amp; Summaries → Task &amp;amp; Project Management → Research &amp;amp; Data AnalysisWhat&#39;s in the Package:/ai-agent-template ├── /agent # Core agent logic ├── /memory # Memory &amp;amp; vector store ├── /tools # Tool integrations ├── /api # FastAPI endpoints ├── /tasks # Task management ├── /integrations # Plaud AI, Newsletter, etc. ├── /config # Environment &amp;amp; settings ├── /tests # Test suite ├── docker-compose.yml └── README.mdHow It Works: Download — Get instant access to the complete source code Configure — Set your API keys and preferences Deploy — Run locally or deploy to your cloud Customize — Extend with your own tools and integrations &quot;Your AI Agent. Your rules. Your infrastructure.&q

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2026-01-24 16:02

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Open service 52.0.59.237:80 · aiagents.billing.plimlab.com

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Open service 100.27.163.155:443 · aiagents.billing.plimlab.com

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Page title: AI Agent Template — End-to-End Architecture

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    <meta content="AI Agent Template — Build Your Own Intelligent AssistantDeploy a complete, production-ready AI Agent with our comprehensive template. This isn&#39;t just boilerplate code — it&#39;s a fully architected system designed for real-world applications.What You Get:A complete end-to-end AI Agent architecture with all core components:□ Reasoning Engine (Brain) — Goal-setting, planning, and decision-making logic powered by LLMs□ Memory System — Persistent memory with vector database integration for context-aware responses□ Tool Integration — Pre-built connectors for web search, APIs, documents, and external services□ Task Management — Built-in task queue, prioritization, and execution tracking□ Support System — Customer support automation with ticket handling and escalation logic□ Plaud AI Integration — Ready-to-use integration with Plaud AI for voice transcription and meeting notes□ Newsletter Engine — Automated newsletter generation with content personalization and schedulingArchitecture Highlights: RAG Pipeline — Retrieval-Augmented Generation for knowledge-grounded responses Modular Design — Swap components, add new tools, extend functionality API-First — FastAPI backend ready for deployment Multi-LLM Support — Works with OpenAI, Anthropic, Google, local models Vector Storage — Pinecone, Weaviate, ChromaDB compatible Tech Stack Included: Python 3.11+ LangChain / LangGraph FastAPI Vector Database connectors Async task processing Webhook handlers Docker configuration Use Cases:→ Customer Support Automation → Internal Knowledge Assistant → Content Generation &amp;amp; Newsletters → Meeting Transcription &amp;amp; Summaries → Task &amp;amp; Project Management → Research &amp;amp; Data AnalysisWhat&#39;s in the Package:/ai-agent-template ├── /agent # Core agent logic ├── /memory # Memory &amp;amp; vector store ├── /tools # Tool integrations ├── /api # FastAPI endpoints ├── /tasks # Task management ├── /integrations # Plaud AI, Newsletter, etc. ├── /config # Environment &amp;amp; settings ├── /tests # Test suite ├── docker-compose.yml └── README.mdHow It Works: Download — Get instant access to the complete source code Configure — Set your API keys and preferences Deploy — Run locally or deploy to your cloud Customize — Extend with your own tools and integrations &quot;Your AI Agent. Your rules. Your infrastructure.&q

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