Tilde.run — Agent sandbox with a transactional, versioned filesystem. It was shared on Show HN in 2026 and received 205 upvotes on Hacker News. Tilde started from a simple observation: AI agents are only as useful as the environment they can work in. Giving an agent a prompt is easy. Giving it the right files, credentials, tools, context, and execution environment, safely and repeatably, is much harder. Over the past year, we learned a lot from teams trying to […]. Rather than continue tilde.run as a separate product, we decided to focus our efforts on lakeFS and fold everything we learned into lakeFS Mount: an efficient, agent-native, composable filesystem for production AI workloads. Mount is designed for the way agents actually run: many short-lived environments, large data surfaces, repeated reads, changing working state, and a need to move between experimentation and production without losing reproducibility or control. It combines the ergonomics of a filesystem with the guarantees lakeFS is built for: versioning, branching, commits, reproducibility, and governance over data at scale. Shutting down tilde.run was not a step away from agent infrastructure. It was a decision to build it where we believe it belongs: directly into the data control plane. Those lessons are now shaping the next phase of lakeFS. If you came here looking for tilde.run, we’d love to hear what you were trying to build. lakeFS’ Mount is where we’re putting this work now, and we’re actively working with teams that are pushing agents into production The Control Plane for AI-Ready Data Versioned.