mens
Agent framework with built-in tools, MCP integration, and CLI.
Install
pip install mens[all]
Quick Start
from flexllm import LLMClient
from mens import AgentClient
llm = LLMClient(model="gpt-4o")
agent = AgentClient(llm)
result = await agent.run("读取 main.py 并分析")
CLI
mens run "查一下 cpu 使用率" # 非交互执行（支持 stdin 管道）
mens run --tools code "读取 main.py"
mens chat # 交互式全屏 TUI
mens chat -c # 恢复最近会话
mens sessions list # 会话管理
程序 / AI Agent 调用
mens run 是给自动化用的入口：stdout 是结果、stderr 是过程，退出码表达成败。
mens info # 自描述：工具/skill/退出码（JSON）
mens run "任务" --format json # 完整执行记录
mens run "任务" --format json || echo "失败: $?" # 0 成功 / 2 参数错 / 5 未完成
跨调用多轮：--session <id> 新建会话、--resume <id> 续接（分开是为了让"撞上同名旧会话"
报错而不是静默接上陌生上下文）。
退出码与 JSON 字段的完整契约见 docs/agent-cli.md。
给 Claude Code 等 AI agent 用时，先装 skill 让它一次拿到心智模型，不必逐层 --help 摸索：
mens install-skill # → 软链到 ~/.claude/skills/mens/（重开会话后生效）
软链而非复制：升级 mens 后 skill 自动跟着更新，不必记得重装。
交互式 TUI（mens chat）
全屏终端界面：流式输出、工具调用卡片、斜杠命令（/help /clear /compact /model /resume …）、
Esc 中断当前任务、↑/↓ 输入历史、Tab @路径 补全。
- 权限：默认
default模式（只读放行，写操作弹窗审批），"总是允许"会把规则持久化到.mens/settings.json（如bash(git commit:*)）。详见 docs/permissions.md - 会话：每轮自动持久化（flaxkv2），
-c/--resume或 TUI 内/resume恢复。详见 docs/sessions.md
完整文档见 docs/。
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