agent sandbox
a local environment for building, testing, and iterating on agents.
agent sandbox is the working room we wanted before handing an agent a real repo, account, database, or workflow.
why it exists
most agent evaluation happens too late. you wire tools into a real project, ask the agent to do something useful, and only then discover the hidden failure modes: bad assumptions, brittle commands, missing rollback paths, unclear permissions, and silent partial success.
agent sandbox makes that feedback loop smaller. it gives teams a controlled place to test agent behavior against realistic tasks before trusting it with production work.
what it does
- creates isolated workspaces for agent runs
- records commands, file edits, logs, and final diffs
- supports repeatable task fixtures
- makes failure cases easy to replay
- keeps secrets and destructive actions out of early experiments
what we are learning
agents get better when their environment is explicit. the biggest improvements often do not come from a larger model, but from clearer tools, narrower permissions, better task framing, and visible recovery paths.
sandboxing turns agent development from vibes into iteration.