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docs: add SandBase Harness sandbox runtime #8

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -39,6 +39,7 @@ OS-level isolation uses Linux namespaces, cgroups, or kernel-enforced policies;
- [SandboxAI](https://github.com/substratusai/sandboxai) - Docker-containerized runtime for safely executing AI-generated Python and shell commands
- [llm-sandbox](https://github.com/vndee/llm-sandbox) - Python library executing LLM-generated code in Docker/Kubernetes/Podman with customizable security
- [MCP Runner](https://github.com/abir-taheer/mcp-runner) - MCP server platform using Docker with gVisor runtime for multi-tenant isolation
- [SandBase Harness](https://github.com/sandbaseai/sandbase-harness) - Local-first self-hosted agent runtime with persistent sessions, MCP and permission boundaries, audit/replay, and optional Docker/Kubernetes/self-hosted-worker execution backends; the isolation boundary depends on the selected backend and deployment configuration
- [PythonSafeEval](https://github.com/s3131212/PythonSafeEval) - Python execution using nsjail process jail inside Docker containers

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