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@@ -147,6 +147,7 @@ These benchmarks are especially useful when you want to compare harness quality,
 - [Bring Your AI MCP](https://github.com/unitedideas/bringyour-mcp) - Public harness-migration reference for Claude Code to Codex moves, with installable auditor artifacts and explicit validation notes for hooks, MCP config, and instruction-file differences.
 - [Harbor](https://github.com/harbor-framework/harbor) - A generalized harness for evaluating and improving agents at scale, released alongside Terminal-Bench 2.0.
 - [Harness Evolver](https://github.com/raphaelchristi/harness-evolver) - Claude Code plugin that autonomously evolves LLM agent harnesses using multi-agent proposers, LangSmith-backed evaluation, and git worktree isolation. Based on Meta-Harness (Lee et al., 2026).
+- [LoopTroop](https://github.com/looptroop-ai/LoopTroop) - Local-first GUI harness for long-running AI coding featuring LLM-Council planning, atomic Beads in isolated git worktrees, and fresh-context Ralph-Loop recovery.
 - [Ralph Wiggum as a Software Engineer](https://ghuntley.com/ralph/) - Geoffrey Huntley's write-up of "Ralph," a minimalist `while :; do cat PROMPT.md | claude-code; done` harness pattern that uses single-task loops, deterministic prompt stacking, and bounded subagent parallelism to drive long-running autonomous coding.
 - [skills.sh](https://skills.sh) - A community marketplace for discovering, sharing, and installing reusable AI agent skills across runtimes like Claude Code and OpenClaw, making harness capabilities portable and composable.
 - [Uni-CLI](https://github.com/olo-dot-io/Uni-CLI) - Universal CLI hub connecting agents to 134 sites and desktop apps via 711 declarative YAML pipelines. Ships an 8-phase Karpathy-style self-repair loop, eval harness with a starter catalog, per-call cost ledger, hardcoded sensitive-path deny list, and `unicli mcp serve` that auto-registers one MCP tool per adapter. ~80 tokens per invocation.