Sandbase Harness

Local-first runtime for AI agents with sessions, sandboxed tools, memory, credentials, and a console.

PlatformWebfreeglobal

Sandbase Harness is a local-first runtime layer for production AI agents, running on the user's own machine or infrastructure with persistent sessions, sandboxed tool execution, memory, credential handling, audit trails, and a built-in console for humans to inspect agent activity. It works with any model over MCP and includes a native DeepSeek Harness bundle, aimed at teams who need more than an agent SDK's model loop alone provides.

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Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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