sandbase-harness
通过 stdio MCP 将 dsh 连接到本地 SandBase Harness 运行时，用于管理代理与会话、流式执行任务、检查产物和取消工作。
- 形态
- Plugin 插件
- 安装
- 通过 profile 安装
- 需要密钥
- 是
- 近月下载
- —
- 最近推送
- 2 天前更新
项目说明
From README
SandBase Harness English 中文 AI-readable project metadata: llms.txt · installation guide A local-first runtime for AI agents.Sessions, sandboxed tools, memory, credentials, audit trails, and a built-in Console — all running on your machine or in your own infrastructure.
Why Agent SDKs handle the model loop.Production agents need more: persistent sessions, tool governance, sandbox boundaries, credential handling, memory, auditability, and a UI for humans to inspect what happened.
managed-agents is that runtime layer — not a visual workflow builder and not another model SDK.
Need What Harness provides --- --- Run generated code safely Local, Docker, Kubernetes, and self-hosted worker sandboxes Inspect long-running agents Persistent sessions, resumable event streams, audit, and replay Control tool access MCP toolsets, credential vaults, permission policies, and approvals Operate any model
Original description
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
安装方式
通过 profile 安装 · 需要额外配置密钥
git clone --branch v0.3.8 --depth 1 https://github.com/sandbaseai/sandbase-harness.gitnpm run build为什么是这个分数
近 3 天仍在推送；README 给出了可直接复制的安装命令；运行前需要准备 API Key 或环境变量；640 stars，社区使用面较广。
- 维护活跃
- 100
- 实用度
- 100
- 生态热度
- 62
- 上手便捷
- 74
- 信号质量
- 100
- 数据置信度
- 100%
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