AI Agents
Building and using autonomous AI agents on local and cloud models.
β Awesome AI Handbook Β· π·πΊ Π ΡΡΡΠΊΠΈΠΉ
What is an AI Agent
Regular chat: you ask a question β the model answers. Thatβs it.
AI agent: the model decides what to do, calls tools, analyzes results, and repeats until it reaches its goal.
Chat: Question β Answer
Agent: Question β Agent decides to call a tool β Gets data β Formulates answer
Key components of an agent:
- LLM β the language model that makes decisions
- Tools β functions the model can call
- Think β Act β Observe loop β repeats until the task is done
- Memory β context between steps
Section Files
| File | Description | Level | Time |
|---|---|---|---|
| ready-made.md |  Ready-made AI agents catalog |
|
7 min |
| orchestrators.md |  Sub-agent orchestrators |
|
6 min |
| skills.md |  Skills, MCP servers, plugins |
|
6 min |
| architecture.md | AI agent architecture |
|
11 min |
| patterns.md | Patterns: ReAct, Multi-Agent, Reflection |
|
14 min |
| frameworks.md | LangGraph, CrewAI, Agno comparison |
|
12 min |
| multi-agent.md | Multi-agent systems |
|
18 min |
| memory.md | Long-term agent memory |
|
9 min |
| prompting.md | System prompts for agents |
|
11 min |
| ollama-for-agents.md | Tool calling, JSON schema |
|
10 min |
| safety.md | Safety, guardrails |
|
16 min |
| evaluation.md | Testing, regression |
|
10 min |
Tutorials β agents/tutorials/
| File | Description | Level | Time |
|---|---|---|---|
| README | Tutorial index | β | β |
| 01-first-agent.md | |
30 min | |
| 02-agent-team.md | |
60 min | |
| 03-coding-agent.md |  |
45 min |
Related Sections
- Local Models β Ollama, models, tool calling
- Zero Level β AI basics, installation
Use Cases β applying agents
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