Tensorlake's Git Repositories feature allows AI agents to mount versioned repos as local directories without cloning, using a FUSE filesystem and write-ahead logging for crash safety. In tests with CL…
OpenCode, an open-source coding agent similar to Claude Code, poses a risk because it autonomously runs shell commands, which can inadvertently execute destructive actions like deleting files via syml…
Tensorlake's memory snapshots let AI experiments resume from a warm state, eliminating the repeated 40-second overhead of reinstalling numpy and reloading datasets that occurs when using filesystem sn…
A new open-source harness from Tensorlake demonstrates that agent evaluations are vulnerable to cheating unless per-task isolation is enforced, showing a 53% lie rate when agents can tamper with test …
A developer built a stateful AI agent that survives session kills by using Tensorlake's MicroVM sandboxes instead of containers. The harness preserves running processes, files, and memory across suspe…
A developer built a five-agent data analysis pipeline on Tensorlake and confirmed that the platform's MicroVM-based sandbox isolation prevents agent crashes, filesystem conflicts, and memory contentio…
A developer lost six hours of agent work after assuming Claude Managed Agents would retain state between sessions, discovering that Anthropic's infrastructure handles reasoning while users must manage…
Engineers often assume multi-agent AI performance is a concurrency problem, but the real bottleneck is agents spending most of their time preparing to work rather than working. The fix is using memory…