sandbase-harness
Eliminates third-party AI runtime risk by keeping agent execution, credentials, and audit trails local.
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
- Ask Claude to run security audits locally without data leaving your infrastructure.
- Generate compliance reports with full audit trails of every AI decision made.
- Automate credential rotation and access reviews with sandboxed, replayed sessions.
Eliminates third-party AI runtime risk by keeping agent execution, credentials, and audit trails local. Enables compliance-sensitive teams to deploy AI automation without external API dependency or data exposure.
Security-conscious enterprises and regulated industries requiring self-hosted AI agents with full audit trails and credential isolation.
https://github.com/sandbaseai/sandbase-harness
By sandbaseai
How to Get It
claude plugins install sandbaseai/sandbase-harness
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Run security audits locally without data leaving my infrastructure
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 641 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 641 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.