GAINERS King On BASE
GAINERS King On BASE
That Work For You
That Work For You
Create, configure, and deploy custom Token that can do everything. Define their abilities with natural language, set their goals, and deploy
Embedded Files
Everything You Need to Build Custom AI Agents
Everything You Need to Build Custom AI Agents
$GAINERS provides all the tools needed to create sophisticated AI agents
$GAINERS is not just another cryptocurrency; it’s a token built with a vision to empower individuals to grow their wealth and seize new opportunities in the digital economy. With a focus on innovation, community-driven success, and continuous development, $GAINERS is here to make a lasting impact in the world of decentralized finance.
Whether you’re an experienced crypto enthusiast or just starting out, $GAINERS offers a platform to unlock your financial potential. Our mission is to create a thriving ecosystem where investors and users can benefit from the rise of blockchain technology and the future of digital assets.
Why Choose $GAINERS?
Growth-Driven: Like its name suggests, $GAINERS is all about growth—growing your portfolio, your knowledge, and your community.
Community Focused: We're building a strong, transparent, and inclusive community where everyone has the chance to succeed.
Innovation at Core: With advanced features and continuous improvements, $GAINERS is designed to stay ahead of the curve in the fast-paced world of crypto.
Security First: Your investments are protected with the latest in blockchain technology, ensuring safe transactions and peace of mind.
Join the $GAINERS revolution today – together, we can create new opportunities, unlock potential, and rise to new heights in the crypto space!
Powerful Agent Architectures
Powerful Agent Architectures
Choose from multiple swarm architectures to build your AI applications
SequentialRearrangeMixture
from swarms import Agent, SequentialWorkflow
from swarm_models import Anthropic
# Initialize agents
agent1 = Agent(
agent_name="Blog generator",
system_prompt="Generate a blog post",
llm=Anthropic(),
max_loops=1
)
agent2 = Agent(
agent_name="Summarizer",
system_prompt="Summarize the blog post",
llm=Anthropic(),
max_loops=1
)
# Create Sequential workflow
workflow = SequentialWorkflow(
agents=[agent1, agent2],
max_loops=1
)
# Run workflow
output = workflow.run(
"Generate a blog post on AI agents."
)
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