PySage lets you manage AI agents with precision, leveraging a modular system and CLI tools
Finally, an AI framework that adapts to your needs as effortlessly as updating a command line.
Repeatable processes.
PySage ensures consistent agent workflows, allowing easy reruns and adjustments without complex reconfiguration.
Dynamic AI Validation
Automatically validates agent configurations and tasks with LLM integrations, ensuring seamless operation before execution.
Modular Connections
Connect agents to multiple systems effortlessly, from Twitter integration to blockchain tasks, all within a flexible modular framework.
Secure by default.
PySage operates with minimal permissions, ensuring your data and systems are secure by default while handling sensitive configurations.
In-Memory Task Processing
Tasks are executed in a highly efficient in-memory environment, leveraging Python's strengths without external server dependencies.
Agent State Tracking
Track and compare your agent configurations across environments (Dev/Prod) and adapt to evolving system requirements with ease.