BoxLite is a compute substrate for AI agents that is lightweight enough to run on a laptop yet elastic enough to scale into the cloud. It provides an embeddable runtime and containerized sandbox to isolate, debug, and deploy agent workloads in controlled environments. Implemented in Rust, the project focuses on minimal runtime dependencies and strong security boundaries.
Sandboxed Execution
- Container-based and process isolation to reduce runtime risk in agent workloads
- Controlled environments for safe execution of untrusted or experimental agent code
- Strong security boundaries between agent tasks and host systems
Embeddable Runtime
- Integrate agent capabilities directly into existing applications as lightweight components
- Minimal runtime footprint suitable for constrained and edge environments
- Run agent inference or automation tasks as small OCI-compatible images
Container Workflow Integration
- OCI image compatibility for seamless CI/CD pipeline integration
- Image-based delivery for reproducible builds and consistent deployments
- Supports local testing and CI environments to reproduce and debug issues before production
Technical Foundation
- Developed in Rust for minimal runtime overhead and high execution efficiency
- Released under the Apache-2.0 license with focus on containerized sandboxing
- Targets serverless, edge, and lightweight deployment scenarios requiring isolation