Fetch.ai Innovation Lab Examples

80+ production-ready AI agent examples in Python

Build autonomous AI agents, multi-agent systems and agentic AI workflows with uAgents, ASI:One, Agentverse, MCP, the A2A protocol, LangChain, CrewAI, Gemini, Claude and OpenAI.

Quickstart · Examples · Structure · Docker · Contributing · FAQ

📈 Star history

If these examples save you time, a ⭐ helps other developers find them.

Every folder here is a self-contained, runnable AI agent project with its own README, dependencies and environment template. Whether you are writing your first autonomous agent or architecting a multi-agent system with real payments, there is a working example to start from.

🎯 Who is this for?

• Beginners exploring autonomous agents and Fetch.ai for the first time
• Builders integrating LLMs, payments or Web3 into agent workflows
• Hackathon participants who need a working starter in minutes
• Contributors who want to share their agent examples with the community

⚡ Quickstart

Run your first agent in under two minutes:

# 1. Clone the repo
git clone https://github.com/fetchai/innovation-lab-examples.git
cd innovation-lab-examples

# 2. Pick an example (e.g. the hackathon quickstarter)
cd fetch-hackathon-quickstarter

# 3. Create a virtual environment and install dependencies
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# 4. Set up environment variables
cp .env.example .env
# Edit .env with your API keys

# 5. Run the agent
python agents/alice/agent.py

Or use the automated setup script from the repo root:

./setup.sh fetch-hackathon-quickstarter

Prerequisites: Python 3.10+, pip and git. Some examples require API keys (ASI:One, OpenAI, Stripe, etc.) — check each example's .env.example.

📁 Repository structure

innovation-lab-examples/
│
├── 📄 README.md                 # This file
├── 📄 CONTRIBUTING.md           # How to contribute
├── 📄 SECURITY.md               # Vulnerability reporting
├── 📄 ISSUES_GUIDE.md           # How to file a good issue
├── 📄 LICENSE                   # Apache 2.0
├── 🔧 setup.sh                  # One-command example setup
├── 🐳 Dockerfile                # Run any example in a container
├── 🐳 docker-compose.yml        # Compose support
├── 🔧 ruff.toml                 # Repo-wide lint baseline
│
├── 📂 .github/                  # CI and contributor templates
│   ├── workflows/               #   ci · pull_request_ci · review-required · pr-ai-review
│   ├── scripts/                 #   run-example-tests.sh (per-example test runner)
│   ├── ISSUE_TEMPLATE/
│   ├── pull_request_template.md
│   ├── CODEOWNERS
│   └── BRANCH_PROTECTION.md
│
├── 📂 scripts/                  # Repository tooling
│   └── pr-ai-review.mjs         #   ASI:One code review for pull requests
│
├── 📂 docs/                     # Shared guides and templates
│   └── AGENT_README_TEMPLATE.md
│
├── 📂 contributors/             # 👈 Community agents go here
│   ├── README.md                #   Contributor guide
│   ├── CHANGELOG.md             #   Community changelog
│   ├── community_agent/
│   ├── news-summarizer-agent/
│   └── gemini-task-manager-agent/
│
├── 🟢 Getting started
│   ├── fetch-hackathon-quickstarter/   # 👈 Start here
│   ├── av-script-example/
│   ├── asi-cloud-agent/
│   ├── deploy-agent-on-av/
│   ├── openclaw/
│   └── cursor-rules/
│
├── 🤖 LLM integration
│   ├── asi1-llm-example/
│   ├── dynamic-ui-on-asi1/          # ASI:One interactive cards (TripMate + news)
│   ├── anthropic-quickstart/
│   ├── gemini-quickstart/
│   ├── openai-agent-sdk/
│   ├── Claude Agent SDK/
│   ├── google-genai-parallel-processing/
│   ├── flight-tracker-openai-workflow-agent/
│   ├── langchain-agents/
│   ├── pydantic-agent/
│   └── security-scanner-agent/
│
├── 🔗 Agent-to-agent (A2A)
│   ├── launch-your-a2a-agent/
│   ├── launch-your-a2a-research-team/
│   ├── a2a-cart-store/
│   └── a2a-uAgents-Integration/
│
├── 🧩 MCP
│   └── mcp-agents/
│
├── 💰 Payments
│   ├── fet-example/
│   ├── image-agent-payment-protocol/
│   ├── stripe-horoscope-agent/
│   └── stripe-payment-agents/
│
├── 🧠 RAG and knowledge
│   ├── Rag-agent/
│   ├── llama-index/
│   └── pdf-summariser-example/
│
├── 👥 Multi-agent systems
│   ├── google-adk/
│   ├── Crewai-agents/
│   ├── ag2-agents/
│   └── video-to-map-agent/
│
├── 🌐 Web3
│   ├── web3/
│   └── duffel-agent/
│
└── 🔌 External integrations
    ├── Composio/
    ├── Browser-based-agents/
    └── frontend-integration/

📚 Examples index

🟢 Getting Started

🤖 LLM Integration

🔗 Agent-to-Agent (A2A)