AgentBase provides a secure, scalable, and easy-to-use storage solution for AI agents. Build, deploy, and manage your AI agents with confidence.
Built to handle thousands of AI agents with horizontal scaling capabilities. Grow your agent ecosystem without worrying about performance bottlenecks.
Advanced security features including encryption at rest, role-based access control, and audit logging to keep your AI agents safe and compliant.
Simple APIs and SDKs for popular programming languages. Get your agents connected in minutes, not hours.
Monitor your agents' performance, usage patterns, and system health with built-in analytics and dashboards.
Deploy on any cloud provider or on-premises infrastructure. AgentBase is designed to be platform-agnostic.
Fully open source with an active community. Contribute, customize, and extend AgentBase to meet your specific needs.
Get AgentBase up and running in minutes with our simple installation process.
# Install from PyPI (recommended) pip install agentbase # Or clone from source git clone https://github.com/bestagents/agentbase.git cd agentbase pip install -e .
from agentbase import AgentBase
# Initialize AgentBase
ab = AgentBase()
# Create a new agent
agent = ab.create_agent(
name="MyAgent",
config={
"model": "gpt-4",
"temperature": 0.7,
"max_tokens": 1000
}
)
# Store agent data
ab.store_agent(agent)
# Retrieve agent
retrieved_agent = ab.get_agent("MyAgent")
print(f"Agent loaded: {retrieved_agent.name}")