sandbase-harness

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. Building with DeepSeek Harness? The independent DeepSeek Harness Handbook provides source-backed runtime guides, multilingual troubleshooting, and a regularly updated Agent-first resource map. Looking for a lightweight bridge instead of a full runtime? SandBase CLI connects 25 AI client targets to 2,000+ models and APIs through a local stdio MCP bridge. If it fits your workflow, star SandBase CLI so other agent users can discover it. Need hosted model and media APIs instead? SandBase provides one interface for LLM, image, and video generation APIs, with the API quickstart covering keys and first calls. Choose SandBase Harness when you need more than a model loop: 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 | If this runtime solves a real agent-infrastructure problem for you, star the repository so other builders can find it. Find SandBase Harness The project is also discoverable through these independent ecosystem directories: Official MCP Registry deepseek-plugin.org DeepseekPlugin DSH Plugin Directory DSH Plugin Hub DSH Direc