LRA - AI Agent长任务超稳定执行框架 轻量 | pip一键安装｜突破上下文限制 7种状态管理 | Long-Running AI Agent Framework • One-click pip instal...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if long-run-agent belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/hotjp/long-run-agent ~/.claude/agents/long-run-agentRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/long-run-agentNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ long-run-agent/ ← installs here └─ settings.json
LRA - AI Agent长任务超稳定执行框架 轻量 | pip一键安装｜突破上下文限制 7种状态管理 | Long-Running AI Agent Framework • One-click pip install｜Break context barriers • 7-status management. 5.0全面支持CLAUDE/OPEN CLAW/OPEN CODE/CUSOR/TREA 等全部Agent编程工具，仅需运行 lra init命令，就会生成Agent.md/CLAUDE.md/lra.md. 你的agent会自动学会如何使用
Source: GitHub repository
Source check: November 3, 2026
Upstream commit: November 3, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.