OPEN LINK ↗
// 1h agoOPENSOURCE RELEASE
Harbor is an open-source framework for evaluating and optimizing sandboxed agents in container environments.
Harbor is a framework for running agent evaluations and optimization workflows inside containerized sandboxes. Built by the creators of Terminal-Bench, it helps teams define tasks, manage datasets, run popular CLI agents, scale experiments across cloud sandbox providers, and generate rollouts for RL or other optimization pipelines. The project positions itself as a practical harness for benchmarking and improving agents and language models rather than just a standalone eval suite.
// ANALYSIS
This reads like infrastructure for serious agent R&D, not a polished end-user app.
- –Strong fit for teams that need reproducible agent evals, benchmark sharing, and large-scale parallel runs.
- –The pre-integration with agents and sandbox providers lowers setup friction versus assembling a custom harness.
- –The RL/rollout angle makes it more valuable for optimization loops than for one-off benchmarking.
- –Biggest downside is audience specificity: it is clearly aimed at builders already operating in agent and container workflows.
// TAGS
aiagentsevaluationbenchmarkingsandboxopen-sourcerlterminal-bench
DISCOVERED
1h ago
2026-05-26
PUBLISHED
1h ago
2026-05-26
RELEVANCE
9/ 10