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AI Agent Toolkit

AI Patterns Python OpenAI
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Problem

Building AI agents from scratch is complex. You need reasoning loops, tool execution, memory management, error handling, and multi-agent coordination. Most tutorials show toy examples that break in production.

Solution

A drop-in toolkit that handles the hard parts so you can focus on what your agent should do.

  • ReAct Loop: Think → Act → Observe → Repeat
  • Tool System with simple decorators
  • Short-term and long-term memory
  • Hierarchical task planning
  • Multi-agent orchestration

Demo

Create an agent with web search and calculation tools. Ask "What is 15% of the current US population?" Watch the agent reason through the problem, search for data, calculate, and return the answer with sources.

Define tools
Watch reasoning

Run it

git clone https://github.com/freshveejay/ai-agent-toolkit
cd ai-agent-toolkit
pip install -r requirements.txt
export OPENAI_API_KEY=sk-...
python examples/simple_agent.py