- Build secure execution environments for agent-generated code.
- Develop identity, authentication, and trust boundaries for agents.
- Build model routing and orchestration across different model types and environments.
- Implement rate limiting, quotas, and resource management for agent workflows.
- Develop state management, memory, and filesystem abstractions for agents.
- Turn emerging ML research ideas into production-ready infrastructure.
- Build core platform capabilities for execution, storage, and state management.
- Prototype and evaluate technologies, and help decide what should move into production.
- Partner with research teams to shape infrastructure for future agent systems.