agenticx-quickstart

# AgenticX Quickstart Guide for getting a user from zero to a running AgenticX agent in under 5 minutes. ## Installation ```bash # Core install (lightweight, ~27 deps, installs in seconds) pip install agenticx # Verify agx --version ``` Optional extras — install only what you need: | Extra | What it adds | Command | |-------|-------------|---------| | `memory` | Mem0, ChromaDB, Qdrant | `pip install "agenticx[memory]"` | | `document` | PDF/PPT/Word parsing | `pip install "agenticx[document]"` | | `server` | API server (`agx serve`) | `pip install "agenticx[server]"` | | `volcengine` | Volcengine AgentKit | `pip install "agenticx[volcengine]"` | | `all` | Everything | `pip install "agenticx[all]"` | ## Environment ```bash export OPENAI_API_KEY="sk-..." # Optional export ANTHROPIC_API_KEY="sk-ant-..." ``` ## Create a Project ```bash agx project create my-first-agent --template basic cd my-first-agent agx project info ``` ## Create Your First Agent (Python) ```python from agenticx import Agent, Task, AgentExecutor from agenticx.llms import OpenAIProvider agent = Agent( id="data-analyst", name="Data Analyst", role="Data Analysis Expert", goal="Help users analyze and understand data", organization_id="my-org" ) task = Task( id="analysis-task", description="Analyze sales data trends", expected_output="Detailed analysis report" ) llm = OpenAIProvider(model="gpt-4") executor = AgentExecutor(agent=agent, llm=llm) result = executor.run(tas...