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.)
├── 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
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 |
|
| 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).
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.
from crewai import Agent, Crew, Task, LLM
from crewai.flow import Flow, listen, startSee frameworks/crewai/crewai_v115_features/ for new features.
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.
- 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.
- 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)
Most examples are standalone. Navigate to a project folder and run:
cd frameworks/crewai/crewai_first_crew
pip install -r requirements.txt
python main.py| Repository | Description |
|---|---|
| ai-courses | Full structured courses (LangChain, LangGraph, Atomic Agents) |
| master-crewai-course | Comprehensive CrewAI course |