插件介绍
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
项目详情摘要
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 | OpenAI, Anthropic, MiniMax, and OpenAI-compatible providers, including DeepSeek V4 | Keep infrastructure yours | Local-first SQLite and file storage with no required hosted control plane | Features Claude Managed Agents-style `/v1` API and local Console SQLite metadata by default for agents, sessions, environments, credential vaults, memory stores, files, skills, and API keys — local file/skill bytes in the workspace state directory Resumable Server-Sent Events for session replay and debugging One active model provider boundary configured through Settings V2 Sandbox backends: local process, Docker (per-session containers), Kubernetes (kubectl exec/cp), self-hosted worker queue MCP toolsets, permission policies, built-in tools, and skill packages TypeScript SDK at `managed-agents/sdk` Release gate: `npm run release:check` Quick Start Requirements: Node.js 22+, np
摘自项目公开 README，可能随上游仓库更新。安装方法
建议先在测试 Profile 中安装，并检查权限、安装脚本和依赖。
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sandbaseai/sandbase-harness
使用前检查
- 确认项目符合 DSH bundle 规范，而不只是相关仓库。
- 阅读许可证和安装脚本，检查网络、文件及执行权限。
- 备份配置，并确保插件能够安全卸载或回滚。