Cloud runtime for AI agents that decouples memory, keys, and skills from agent engines
Features
- Run multiple AI agent frameworks in the cloud
- Decouple memory and key assets from runtime
- Reuse skills and tool configurations
- Reduce framework switching and migration cost
- Optimize developer workflows for agents
- Support iterative experimentation environments
Use Cases
- Multi-framework agent development and testing
- Unified runtime management for agents
- Team sharing of skills and tool configs
- Agent project migration and iteration
- Cloud execution of complex automations
- Production engineering for AI agents
FAQ
Clawdi provides a cloud runtime for AI agents, enabling developers to reuse memory, API keys, and skill assets across different agent frameworks and maintain continuous workflows with less setup overhead. Core capabilities include: Run multiple AI agent frameworks in the cloud, Decouple memory and key assets from runtime, Reuse skills and tool configurations.
Common scenarios include: Multi-framework agent development and testing, Unified runtime management for agents, Team sharing of skills and tool configs.
