Harbor is a framework for running agent evaluations and creating and using RL environments.

Official Implementation of "CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion"

Spoox CLI - Terminal Agent - SPlit lOOp eXand agent

Trajectories for running OpenHands on Terminal Bench

Fast, Multi-Cloud Sandboxes for AI Agents.

Codex-style REPL for terminal-agent models trained with camel-ai TerminalToolkit / terminal-bench terminus-2 protocols. Built to drive HansBug/OpenClaw-RL checkpoints.

reproducible Terminal-Bench task that evaluates a Bash script for parsing log files.

Autonomous coding agent for Terminal-Bench 2.0 — 61.6% ± 1.9 on the official leaderboard with GPT-5.1 Codex Mini.

⚓ Harbor benchmark adapter for running AgentPlane as a reproducible coding-agent harness with evidence artifacts.

Multi-layer audit framework for agent benchmark integrity

Central repository for Project Terminus task submissions. These environments and Oracle solutions are designed to evaluate state-of-the-art AI agents (like GPT-5.2 and Claude Opus 4.6) on complex, multi-step engineering challenges within a sandboxed terminal.

Transparent benchmark results for Vorflux — SWE-bench Verified (91%) & Terminal Bench 2 (86%)

Multi-agent reasoning MCP server for Claude Code. Spawns parallel research agents to find knowledge LLMs don't have. +23.1% on Terminal Bench 2.0 SWE tasks.