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LongHorizon-Harness

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The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.

Subagents1.4k estrellas150 forksPythonMITActualizado 13d ago
ClaudeWave Trust Score
97/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
Last scanned: 9/3/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/AMAP-ML/LongHorizon-Harness && cp LongHorizon-Harness/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

5 items en este repositorio

Check OSWorld tasks. Validate the evaluation function, verify that the instruction is feasible given the task setup and agent-visible files, inspect setup artifacts when needed, and produce both markdown and structured JSON reports.

Instalar

Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights. Use this skill whenever the user wants to understand agent performance on OSWorld tasks — including analyzing trajectories, reviewing task results, finding error patterns, comparing code vs GUI strategies, identifying which tools/commands the agent used, or deciding which task types to scale up in the benchmark.

Instalar

Migrate an agent from upstream OSWorld into this OSWorld-V2 repository, add matching evaluation entrypoints, and verify the integration.

Instalar

Provision and verify an OSWorld-V2 checkout after clone. Use when the user asks for OSWorld-V2 setup, installation, onboarding, AWS provider setup, Docker provider setup, mocked website server setup, GitLab server setup, gated task download, CUA-Harness hybrid experiment setup, or a final runnable export block. The skill should install/configure the selected supported infrastructure where possible, ask for user confirmation or credentials when required, and report what is fully configured versus still blocked.

Instalar

Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout. Use when the user wants an AI coding agent to set up dependencies, download WeaveBench assets, prepare the 120G VM, configure Qwen/Anthropic-compatible APIs, run smoke tests, launch full or subset evaluations, inspect logs, or summarize scores for this repository.

Instalar
Casos de uso

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
agentclaudeclaude-codeclaude-pluginclicodexcodex-desktopcodex-plugincuadeepseek-harnessguiharnesslong-horizonlong-horizon-agentslonghorizon-harnesslooploop-engineering

Lo que la gente pregunta sobre LongHorizon-Harness

¿Qué es AMAP-ML/LongHorizon-Harness?

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AMAP-ML/LongHorizon-Harness es subagents para el ecosistema de Claude AI. The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration. Tiene 1.4k estrellas en GitHub y su última actualización registrada es del 2026-08-20.

¿Cómo se instala LongHorizon-Harness?

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Puedes instalar LongHorizon-Harness clonando el repositorio (https://github.com/AMAP-ML/LongHorizon-Harness) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar AMAP-ML/LongHorizon-Harness?

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Nuestro agente de seguridad ha analizado AMAP-ML/LongHorizon-Harness y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene AMAP-ML/LongHorizon-Harness?

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AMAP-ML/LongHorizon-Harness es mantenido por AMAP-ML. La última actividad registrada en GitHub es del 2026-08-20, con 41 issues abiertos.

¿Hay alternativas a LongHorizon-Harness?

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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

Despliega LongHorizon-Harness en tu cloud

Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.

¿Mantienes este repo? Añade un badge a tu README

Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.

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