Agno Cookbooks

Hundreds of examples. Copy, paste, run.

Where to Start

New to Agno? Start with 00_quickstart — it walks you through the fundamentals, with each cookbook building on the last.

Want to see something real? Jump to 01_demo — advanced use cases. Run the examples, break them, learn from them.

Want to explore a particular topic? Find your use case below.

Build by Use Case

I want to build a single agent

02_agents — The atomic unit of Agno. Start here for tools, RAG, structured outputs, multimodal, guardrails, and more.

I want agents working together

03_teams — Coordinate multiple agents. Async flows, shared memory, distributed RAG, reasoning patterns.

I want to orchestrate complex processes

04_workflows — Chain agents, teams, and functions into automated pipelines.

I want to deploy and manage agents

05_agent_os — Deploy to web APIs, Slack, WhatsApp, and more. The control plane for your agent systems.

Deep Dives

Storage

06_storage — Give your agents persistent storage. Postgres and SQLite recommended. Also supports DynamoDB, Firestore, MongoDB, Redis, SingleStore, SurrealDB, and more.

Knowledge & RAG

07_knowledge — Give your agents information to search at runtime. Covers chunking strategies (semantic, recursive, agentic), embedders, vector databases, hybrid search, and loading from URLs, S3, GCS, YouTube, PDFs, and more.

Learning

08_learning — Unified learning system for agents. Decision logging, preference tracking, and continuous improvement.

Evals

09_evals — Measure what matters: accuracy (LLM-as-judge), performance (latency, memory), reliability (expected tool calls), and agent-as-judge patterns.

Reasoning

10_reasoning — Make agents think before they act. Three approaches:

Reasoning models — Use models pre-trained for reasoning (o1, o3, etc.)
Reasoning tools — Give the agent tools that enable reasoning (think, analyze)
Reasoning harness — Set reasoning=True for chain-of-thought with tool use

Memory

11_memory — Agents that remember. Store insights and facts about users across conversations for personalized responses.

Models

90_models — 40+ model providers. Gemini, Claude, GPT, Llama, Mistral, DeepSeek, Groq, Ollama, vLLM — if it exists, we probably support it.

Tools

91_tools — Extend what agents can do. Web search, SQL, email, APIs, MCP, Discord, Slack, Docker, and custom tools with the @tool decorator.

Integrations

92_integrations — Connect to Discord, observability tools (Langfuse, Arize Phoenix, AgentOps, LangSmith), memory providers, and A2A protocol.

Quality Standard

For every cookbook folder that contains runnable Python examples, include:

README.md explaining intent, prerequisites, and run commands
TEST_LOG.md recording run status and observations

Use cookbook/STYLE_GUIDE.md

Enforce in checks (fails on missing metadata):

bash

python3 cookbook/scripts/audit_cookbook_metadata.py --scope direct --fail-on-missing

Check cookbook Python structure pattern:

bash

python3 cookbook/scripts/check_cookbook_pattern.py --base-dir cookbook/00_quickstart

Run cookbooks in non-interactive batch mode with demo environment defaults:

bash

python3 cookbook/scripts/cookbook_runner.py cookbook/00_quickstart --batch --python-bin .venvs/demo/bin/python

Write machine-readable run report:

bash

python3 cookbook/scripts/cookbook_runner.py cookbook/00_quickstart --batch --json-report .context/cookbook-run.json

Contributing

We're always adding new cookbooks. Want to contribute? See CONTRIBUTING.md.