{"repo":"hoangsonww/Agentic-AI-Pipeline","free":true,"listed":false,"github":"https://github.com/hoangsonww/Agentic-AI-Pipeline","clone":"git clone https://github.com/hoangsonww/Agentic-AI-Pipeline.git","description":"🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Docker, AWS, Ansible & Terraform deploys. Bonus: An Agentic RAG System & a Coding Pipeline with multistep planning, self-critique, and autonomous agents.","language":"Python","stars":82,"topics":["agent","agentic-ai","anthropic","aws","chromadb","docker","duckduckgo","fastapi","langchain","langgraph"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Agentic Multi‑Stage Bot - A Research & Outreach Agent 🤖 A full‑fledged, multi‑stage, agentic chatbot that plans → discovers → reasons → uses tools → learns . The reference task baked into this repo is a Research & Outreach Agent (“ DossierOutreachAgent ”): given a topic/company, it builds a compact, cited briefing and (optionally) drafts an outreach email , saving artifacts to disk. Table of Contents Architecture Guide — comprehensive system design with Mermaid diagrams Key Features 7‑Layer Architecture Agent Graph (LangGraph) Repository Layout Bonus: Agentic RAG Bonus: Agentic Coding Pipeline Advanced Deployments & DevOps Quickstart Configuration Running Web UI CLI Utilities HTTP API Client SDKs MCP Server Tools & Capabilities Memory & Feedback MCP Server Extending the System Testing & Quality RunLedger Deterministic CI Check GitHub Actions Security & Ops Troubleshooting Bonus: Agentic Social Media Automation Roadmap Ideas Key Features Multi‑stage reasoning & planning with LangGraph state machine (plan → decide → act → tools → reflect → finalize). Autonomous tool use & tool‑chaining (web search, URL fetch, calculator, file write, email draft, KB - Knowledge Base - search/add). Two memory systems : SQLite conversation store (turn history, feedback). ChromaDB vector KB for RAG and persistent knowledge. Web experience layer : minimal FastAPI + SSE streaming UI (no framework lock‑in). CLI for ingestion & demos. Rate limiting (token bucket) per chat. Batteries‑included tests (un","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/Agentic-AI-Pipeline/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}