Best persistent sandbox platforms for AI agents (2026)

In 2026, persistent sandbox platforms for AI agents have become crucial for production teams, transitioning from a niche to a widely evaluated necessity due to their need to maintain state between executions, handle long-horizon tasks, and manage working environments incrementally. These platforms vary in their persistence models, such as filesystem-only, memory/process pause-resume, and snapshot-based approaches, with different tradeoffs for each. Northflank stands out by supporting both persistent and ephemeral environments with full workload orchestration, GPU access, and bring-your-own-cloud (BYOC) deployment across various infrastructures, making it suitable for diverse use cases. Other platforms like Fly Sprites, e2b, and Modal offer unique features such as microVM-based isolation, pause/resume models, and snapshot-based persistence, each catering to specific requirements like CPU-only environments, memory retention, and Python-first workloads. With no single platform best for every situation, teams must consider factors like persistence needs, GPU support, and deployment flexibility when selecting a sandbox platform.