AI Projects & Learning Repository

A collection of AI agent projects, framework tutorials, and integrations. This is the main hub for code from my YouTube channel.

Looking for full courses? Check out ai-courses for structured learning paths (LangChain, LangGraph, Atomic Agents, etc.)

Repository Structure

├── frameworks/           # AI framework projects (simple examples, not full courses)
│   ├── agentops/        # Agent monitoring/observability
│   ├── autogen/         # AutoGen projects (includes v0.7+ examples)
│   ├── crewai/          # CrewAI projects (includes v1.15+ features)
│   ├── openai/          # OpenAI SDK, Swarm, Agents, Image Gen
│   ├── pydanticai/      # PydanticAI examples (includes v2.x features)
│   └── smolagents/      # Smolagents examples (includes v1.26+ features)
│
├── mini_projects/        # Standalone tutorial projects
│   ├── 00_getting_started
│   ├── 01_workout
│   ├── 02_lmstudio
│   ├── 03_video_captions
│   └── ...more
│
├── integrations/         # Third-party integrations
│   ├── google_drive_monitor
│   ├── mcp_crewai
│   ├── mcp_supabase
│   ├── n8n_crewai
│   └── n8n_runner
│
├── tools/                # Utilities (not frameworks)
│   ├── crawl4ai/        # Web scraping tool
│   └── repo_images/
│
├── youtube_shorts/       # Code for YouTube Shorts videos
│
└── claude_skill_agent_builder/  # Claude skill for building AI agents

Framework Versions (October 2026)

Every project in the repo was updated for these versions and smoke-tested offline (LLM calls faked; external services stubbed). A few projects run on older pins because of upstream caps: CrewAI 1.15 requires openai<3 and mcp~=1.28, litellm requires openai<3, and the archived Swarm needs openai 3.3.

Framework	Package / version	Highlights
AutoGen	autogen-agentchat 0.7.5	⚠️ Breaking change from v0.2! New async API, event-driven
CrewAI	crewai[tools] 1.15	Conversational flows, LLM overlay, streaming
PydanticAI	pydantic-ai 2.58	Typed outputs (output_type), tools with context, streaming
Smolagents	smolagents 1.26	Code agents, managed agents, LiteLLM models
OpenAI Agents SDK	openai-agents 0.24	Agents, tools, handoffs
OpenAI Agents API (hosted)	openai 3.35	Hosted sandbox, sessions, subagents (openai_agents_058)
AgentOps	agentops 0.4	Agent monitoring and observability

Default model in the examples is gpt-5.4-mini. Image examples use gpt-image-2.5-flare / -sunburst (gpt-image-1 shuts down 2026-10-23).

Framework Quick Reference

AutoGen v0.7+ (Breaking Changes!)

The old import autogen API is deprecated. New pattern:

from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient

model_client = OpenAIChatCompletionClient(
    model="gpt-5.4-mini",
    # AutoGen 0.7.5 predates gpt-5.4-mini, so its capabilities must be given explicitly
    model_info={"vision": True, "function_calling": True, "json_output": True, "family": "gpt-5", "structured_output": True},
)
agent = AssistantAgent(name="my_agent", model_client=model_client)
await Console(agent.run_stream(task="..."))  # or: result = await agent.run(task="...")

See frameworks/autogen/autogen_v07_quickstart/ for examples.

All AutoGen examples in this repo use the v0.7 API. Many were first recorded on AutoGen 0.2, so the code may differ from what's on screen in older videos.

CrewAI v1.15+

from crewai import Agent, Crew, Task, LLM
from crewai.flow import Flow, listen, start

See frameworks/crewai/crewai_v115_features/ for new features.

PydanticAI v2.x

from pydantic_ai import Agent

agent = Agent("openai:gpt-5.4-mini", output_type=MyModel)
result = await agent.run("...")
print(result.output)

See frameworks/pydanticai/pydanticai_v2_features/ for examples.

Skills / Claude Code

• agent-builder - A Claude Code skill that scaffolds complete AI agent projects. Give it a task and framework, get a working project with proper structure, dependencies, and best practices.

Getting Started

Prerequisites

• Python 3.11–3.13 (3.12 recommended; CrewAI doesn't support 3.14 yet)
• Ollama (for local LLMs)
• LM Studio (alternative local LLM option)

IDE Options

• VS Code with Python extension
• PyCharm
• Cursor (AI-powered IDE)

Running Examples

Most examples are standalone. Each project folder has its own README; check it first. There are two layouts.

Plain script folders ship a requirements.txt:

cd frameworks/crewai/crewai_tools_11
pip install -r requirements.txt
python csv_file_rag_search.py

CrewAI crew and flow projects ship a pyproject.toml (with [tool.crewai]) instead and run through the CrewAI CLI:

cd frameworks/crewai/crewai_first_crew/first_crew
crewai install
crewai run

Put your OPENAI_API_KEY (and any other keys the project README lists) in a .env file in the project folder.

Related Repositories

Repository	Description
ai-courses	Full structured courses (LangChain, LangGraph, Atomic Agents)
master-crewai-course	Comprehensive CrewAI course

---

YouTube • GitHub