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GO-GATE: Database-Grade Safety for AI Agents

2 starsPython

Go-GATE – Database-grade safety for AI agents

by billyxp74·Feb 25, 2026·2 points·1 comment
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AI Analysis

●●●BangerSolve My ProblemBig Brain

2PC for AI agents—genuine architectural insight applying database safety to agentic decisions.

Strengths
  • •Two-Phase Commit (PREPARE→PENDING→COMMIT) is borrowed from databases but correctly applied to agent control flow
  • •Risk-based policies (LOW/MEDIUM/HIGH with human-in-the-loop) solve real agentic safety without neutering autonomy
  • •Immutable append-only audit trail + fail-closed default means safety is non-negotiable by design
Weaknesses
  • •Windows support explicitly experimental; enterprise deployments will hit platform limits
  • •Lacks public case studies or evidence of production usage—safety claims unvalidated at scale
Category
AI/ML
Target Audience

Teams deploying autonomous AI agents, platform engineers building agent orchestration

Similar To

Anthropic's Constitutional AI (governance concept) · Zed Industries' agent control model

Post Description

After building autonomous AI agents, I realized they needed database-grade transaction safety. So I built GO-GATE.

What it does: • 2PC (Two-Phase Commit) for AI agent operations • Risk-based approval: LOW (auto) / MEDIUM (verify) / HIGH (human) • Sandboxed execution (no shell injection) • Fail-closed: when in doubt, ask a human

100% on-premise, Apache 2.0, Python 3.10+

Would love feedback from the HN community on the architecture and security model.

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