Innovation Lab Examples

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.

[](LICENSE) [](CONTRIBUTING.md) [](https://github.com/fetchai/innovation-lab-examples/stargazers) [](https://github.com/fetchai/innovation-lab-examples/network/members) [](https://www.python.org/) [](https://innovationlab.fetch.ai/resources/docs/intro)

[Quickstart](#-quickstart) · [Examples](#-examples-index) · [Structure](#-repository-structure) · [Docker](#-docker-support) · [Contributing](#-contributing) · [FAQ](#-faq)

📈 Star history

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

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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

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⚡ 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.

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📁 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/
│   ├── news-card-agent/
│   ├── 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

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [fetch-hackathon-quickstarter](fetch-hackathon-quickstarter/) | Hackathon-ready template with orchestrator + worker agents | Python, uAgents | 🟢 Beginner | | [openclaw/](openclaw/) | OpenClaw — connector + orchestrator (fetchai-openclaw-orchestrator) and Agentverse caller skill (agentverse-caller) | Python, Shell, OpenClaw, Agentverse, uAgents | 🟢–🟡 | | [av-script-example](av-script-example/) | Agentverse script deployment example | Python, uAgents | 🟢 Beginner | | [asi-cloud-agent](asi-cloud-agent/) | Basic ASI Cloud agent deployment | Python, uAgents | 🟢 Beginner | | [deploy-agent-on-av](deploy-agent-on-av/) | Deploy agents on Agentverse via Render | Python, uAgents, Render | 🟢 Beginner | | [cursor-rules](cursor-rules/) | Cursor IDE rules for Fetch.ai development | MDC rules | 🟢 Beginner |

🤖 LLM Integration

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [asi1-llm-example](asi1-llm-example/) | ASI:One LLM with LangChain integration | Python, LangChain, ASI:One | 🟢 Beginner | | [news-card-agent](news-card-agent/) | Live news rendered as ASI:One interactive cards (custom element-tree) with Tavily + ASI1 polish | Python, uAgents, ASI:One, Tavily, Cards | 🟡 Intermediate | | [anthropic-quickstart](anthropic-quickstart/) | Claude integration series — basic, vision, functions, MCP, multi-agent | Python, Anthropic SDK, uAgents | 🟢–🔴 Series | | [gemini-quickstart](gemini-quickstart/) | Google Gemini series — text, Imagen, Veo, Lyria, TTS, research, film | Python, Google Gemini, uAgents | 🟢–🔴 Series | | [openai-agent-sdk](openai-agent-sdk/) | OpenAI Agents SDK examples (scholarship finder) | Python, OpenAI SDK, uAgents | 🟡 Intermediate | | [Claude Agent SDK](Claude%20Agent%20SDK/) | Real estate search agent with Claude SDK | Python, Claude SDK, uAgents | 🟡 Intermediate | | [google-genai-parallel-processing](google-genai-parallel-processing/) | Parallel processing with Google GenAI | Python, Google GenAI, uAgents | 🟡 Intermediate | | [flight-tracker-openai-workflow-agent](flight-tracker-openai-workflow-agent/) | Flight tracking with OpenAI workflow agents | Python, OpenAI SDK, uAgents | 🟡 Intermediate | | [langchain-agents](langchain-agents/) | Hackflow — hackathon competitive-intelligence agent built on LangChain Deep Agents with Stripe payments | Python, LangChain, uAgents, Stripe | 🔴 Advanced | | [pydantic-agent](pydantic-agent/) | Shipping label booking agent using Pydantic AI and ASI:One interactive cards | Python, Pydantic AI, uAgents, Shippo | 🔴 Advanced | | [security-scanner-agent](security-scanner-agent/) | LLM-powered code security scanner returning structured vulnerability reports | Python, uAgents, ASI:One | 🟡 Intermediate |

🔗 Agent-to-Agent (A2A)

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [launch-your-a2a-agent](launch-your-a2a-agent/) | Quick A2A agent launcher | Python, uAgents, A2A | 🟢 Beginner | | [launch-your-a2a-research-team](launch-your-a2a-research-team/) | Multi-agent A2A research team | Python, uAgents, A2A | 🟡 Intermediate | | [a2a-cart-store](a2a-cart-store/) | A2A shopping cart with Skyfire payments | Python, uAgents, Skyfire | 🟡 Intermediate | | [a2a-uAgents-Integration](a2a-uAgents-Integration/) | A2A communication examples (YouTube, shopping, currency, competitor analysis) | Python, uAgents, LangGraph | 🟡–🔴 Collection |

🧩 MCP (Model Context Protocol)

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [mcp-agents](mcp-agents/) | MCP server agents — Gmail, Calendar, Events, Airbnb, Perplexity, GitHub, Context7 | Python, MCP, uAgents | 🟡 Intermediate |

💰 Payments

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [fet-example](fet-example/) | FET payment + ASI:One image generation agent | Python, uAgents, ASI:One, FET | 🟡 Intermediate | | [image-agent-payment-protocol](image-agent-payment-protocol/) | Image generation with payment protocol | Python, uAgents, Skyfire | 🟡 Intermediate | | [stripe-horoscope-agent](stripe-horoscope-agent/) | Horoscope agent with Stripe payments | Python, uAgents, Stripe | 🟡 Intermediate | | [stripe-payment-agents](stripe-payment-agents/) | Stripe payment examples (property finder, expense calculator) | Python, uAgents, Stripe | 🔴 Advanced |

🧠 RAG & Knowledge

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [Rag-agent](Rag-agent/) | RAG agent with vector search | Python, uAgents, RAG | 🟡 Intermediate | | [llama-index](llama-index/) | LlamaIndex RAG agent with Stripe payments | Python, LlamaIndex, uAgents, Stripe | 🔴 Advanced | | [pdf-summariser-example](pdf-summariser-example/) | PDF summarization agent | Python, uAgents, ASI:One | 🟢 Beginner |

👥 Multi-Agent Systems

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [google-adk](google-adk/) | Google ADK patterns — sub-agents, search, policy, security, SEO audit, due diligence, trends | Python, uAgents, Google ADK | 🟡–🔴 Collection | | [Crewai-agents](Crewai-agents/) | CrewAI agents — trip planner, code analyzer, meeting prep, blood report | Python, CrewAI, uAgents | 🟡–🔴 Collection | | [ag2-agents](ag2-agents/) | AG2 framework — research synthesis, payment approval | Python, AG2, uAgents | 🔴 Advanced | | [video-to-map-agent](video-to-map-agent/) | Turns YouTube travel vlogs into a day-by-day itinerary with route map, PDF and Excel output | Python, uAgents, ASI:One, Google Maps, Stripe | 🔴 Advanced |

🌍 Community Contributors

New community agents belong in [contributors/](contributors/) — see [contributors/README.md](contributors/README.md).

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [contributors/communityagent](contributors/communityagent/) | AI community growth agent for events and hackathons | Python, uAgents, ASI:One, Tavily | 🟡 Intermediate | | [contributors/news-summarizer-agent](contributors/news-summarizer-agent/) | Fetches top headlines for a topic via NewsAPI and summarizes them with ASI:One, via Chat Protocol | Python, uAgents, NewsAPI, ASI:One | 🟡 Intermediate | | [contributors/gemini-task-manager-agent](contributors/gemini-task-manager-agent/) | Natural-language task manager backed by Gemini | Python, uAgents, Gemini | 🟡 Intermediate |

🌐 Web3 & Blockchain

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [web3](web3/) | Web3 integrations — SingularityNET MeTTa, Internet Computer | Python, MeTTa, ICP, uAgents | 🔴 Advanced | | [duffel-agent](duffel-agent/) | Flight booking agent with Duffel API and payments | Python, uAgents, Duffel, OpenAI | 🔴 Advanced |

🔌 External Integrations

| Example | Description | Tech Stack | Difficulty | |---------|-------------|------------|------------| | [Composio](Composio/) | Composio agents — Gmail and LinkedIn automation | Python, Composio, uAgents | 🟡 Intermediate | | [Browser-based-agents](Browser-based-agents/) | Browser automation agents (Nike product scraper, job-application agent) | Python, Notte, Playwright, uAgents | 🟡 Intermediate | | [frontend-integration](frontend-integration/) | Next.js + uAgents frontend integration | Python, Next.js, uAgents | 🟡 Intermediate |

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🐳 Docker support

Run any example in a container without installing Python locally:

# Build and run a specific example
docker build --build-arg EXAMPLE=fetch-hackathon-quickstarter -t fetch-example .

# Run with your environment variables
docker run --env-file fetch-hackathon-quickstarter/.env fetch-example

Or use Docker Compose:

EXAMPLE=fetch-hackathon-quickstarter docker compose up

> Several examples also include their own Dockerfile and docker-compose.yml for custom setups.

---

🤝 Contributing

We welcome contributions from everyone — a new agent example, a bug fix or a documentation improvement.

1. Star this repository (required before opening a PR)
2. Fork and create a feature branch from main
3. New agents go in contributors// — see [contributors/README.md](contributors/README.md)
4. Pick an issue — good first issues or feature challenges (real-time booking, payments, etc.)
5. Run linting — ruff check . && ruff format .
6. Run the tests — bash .github/scripts/run-example-tests.sh
7. Open a PR using the [PR template](.github/pullrequesttemplate.md) — PRs require maintainer review before merge

Every example should include: README.md, requirements.txt, .env.example (if env vars are needed), and a demo screenshot.

Use the [Agent README Template](docs/AGENTREADMETEMPLATE.md) for new examples.

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📖 Resources

| Resource | Link | |----------|------| | Innovation Lab Docs | innovationlab.fetch.ai/resources/docs/intro | | Agentverse | agentverse.ai | | ASI:One API | asi1.ai | | uAgents Framework | github.com/fetchai/uAgents | | Contributing Guide | [CONTRIBUTING.md](CONTRIBUTING.md) | | Community Agents Folder | [contributors/README.md](contributors/README.md) | | Security Policy | [SECURITY.md](SECURITY.md) | | Community Changelog | [contributors/CHANGELOG.md](contributors/CHANGELOG.md) | | Issues Guide | [ISSUESGUIDE.md](ISSUESGUIDE.md) |

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❓ FAQ

What is an AI agent?

An AI agent is a program that perceives its environment, decides what to do and acts on its own to reach a goal — rather than waiting for step-by-step instructions. The agents in this repo use an LLM for reasoning and the uAgents framework for messaging, discovery and payments.

Which example should I start with?

[fetch-hackathon-quickstarter](fetch-hackathon-quickstarter/) — it shows the orchestrator + worker pattern that most other examples build on. From there, pick the category matching your use case in the [examples index](#-examples-index).

Do I need API keys?

Most examples need at least one. Each example ships a .env.example listing exactly what it reads. An ASI:One key covers the majority; individual examples may also need OpenAI, Anthropic, Google, Stripe or a vendor key.

Are these examples free to use commercially?

Yes. Everything here is [Apache 2.0](LICENSE) licensed. Third-party APIs each example calls have their own terms and pricing.

How do I

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: fetchai
• Source: fetchai/innovation-lab-examples
• License: MIT
• Homepage: https://innovationlab.fetch.ai/resources/docs/intro

Install and usage instructions live in the source repository linked above.