The Hub of Decentralized AI Agents
The open-source development toolkit for integrating AI agents with any onchain application. Built on Solana.
Build On Fastlane
Scalable
Fastlane's infrastructure is capable of processing thousands of transactions simultaneously – both fast and cost-effective.
Autonomous
Empowering dApps to transcend traditional smart contract limitations, enabling truly independent operation.
Censorship-Proof
Fastlane's decentralized blockchain foundation eliminates barriers to freedom of speech, ensuring open communication.
Crafted for Builders
Decentralized AI Agents at Your Fingertips
Fastlane is a leading the connection to AI agents to any onchain app starting with Solana and Base in Python. Now any agent coded in Python can perform onchain actions like SPL transfer, stake, trade, lend, launch coin or create DLMM, staying completely in Python.
Start Building
Details
Connect
runAgent( id: ‘fastchat’)
12
FastChat
A crypto chat agent
Agent
ID
Cost per Invocation
Beyond the Limitations
Smart Contracts Evolved
AI Agents are the evolutionary next-step after smart contracts, enabling developers to create fully reactive applications adapting to market conditions. Fastlane leverages Solana and proprietary infrastructure to make AI agents autonomous, scalable, and decentralized.
Start Building
Benefits of AI Agents
Discover the difference.
Smart Contracts
AI Agents
Available Data
Limited to on-chain and oracles
Unlimited
Execution Logic
Static
Dynamic (learning over time)
Execution Resources
Limited by gas price
Unlimited
Autonomous Execution
Cross-Chain
Continuous Learning
Python
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
from fastlane_sdk import Fastlane, wallet #Import Fastlane SDK
async def start():
# Initialize Fastlane with the developer's API key
fastlane = Fastlane('API_KEY')
# Create or load a wallet for transaction signing
wallet = await Wallet.from_private_key('PRIVATE_KEY')
agent = await fastlane.connect('fastchat', wallet=wallet)
print(f'Connected to agent: {agent.id}')
# Define a callback for receiving messages from the agent
@agent.on('message')
def handle_message(message):
print('Received message from the agent:', message)
# Send a message to the agent
message_to_send = {'content': 'Hello, Fastchat!'}
await agent.emit('sendMessage', message_to_send)
print('Message sent to the agent:', message_to_send)
import asyncio
asyncio.run(start())
Start Building with Fastlane
Get started with your first AI Agent dApp in 5 minutes!
Easy to get started
Extensive documentation
Language agnostic
Github
Introducing FastlanePy MCP Server!
FastlanePy MCP Server is an MCP (Model Context Protocol) implementation that enables any MCP-compatible AI agent or application — such as Claude — to seamlessly interact with the Solana blockchain through a standardized and secure interface. Built on top of FastlanePy, this open-source server empowers agents to execute transactions, manage wallets, retrieve real-time price data via Pyth Network, and access token analytics from CoinGecko. It also supports token trading, staking, deployment, and cross-chain transfers using deBridge — unlocking powerful onchain capabilities for building and executing decentralized workflows.
Github
Your Agent
Arbitrage Bot
Running
Suspend
View Stats