autonomous-agent-harness

仓库创建 2026年4月15日最近提交 20 天前SkillHot 收录 20 天前
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适合需要无人工干预的自治循环,具备重试与持久决策记录能力。

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完全自治运行风险高,务必配置人工止损与审计机制

这个 Skill 做什么

为完全自治的多 agent 工作流提供任务队列、调度与持久化记忆系统。

为完全自治的多 agent 工作流提供任务队列、调度器和持久化记忆,能跟踪任务状态、监控 agent 进度、失败重试并在会话间保存决策。适用于 Orchestrator 在无人值守的并行路径上按产品需求自动闭环运行的场景。它把队列管理、优先级调度和故障恢复当成一等功能,方便长期且可恢复的自动化执行。

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Provide a task queue, scheduler, and persistent memory system for autonomous multi-agent loops. Track task state, monitor agent progress, retry on failure, and persist decisions across sessions. Use this in the Orchestrator parallel path when running an autonomous PRD-driven loop without human gates.

自动化集成任务队列调度器持久记忆故障恢复通用
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# Autonomous Agent Harness — task queue + scheduler + memory

A runtime framework for fully autonomous agent workflows (no human gates). Manages task queues, agent scheduling, persistent decision logs, and failure recovery.

## When to use

- **Parallel path:** Orchestrator is running autonomously against a PRD (no human `/agent squad` gate).
- You need **task queue management** (prioritize, retry, skip on failure).
- Agent decisions must **persist across sessions** (in case of restart/recovery).
- You want **monitoring dashboards** (task status, agent health, completion %).

## Components

### 1. Task queue

Initial state (from PRD):

```
Queue:
  [pending] Task 1: Implement Provider X (a
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