Sigmashake Desktop – AI Coding Agent Guardrails
Local rule engine blocks AI agents from nuking prod when prompts fail.
OPA policies plus signed tokens beat prompt engineering for agent safety.
Backend engineers building LLM agents, Enterprise security teams
Guardrails AI · Lakera Guard · Open Policy Agent
Local rule engine blocks AI agents from nuking prod when prompts fail.
Kernel interception stops runaway agents where LangGraph and AutoGen only advise.
Wire-protocol interception means zero code changes; solves LLM control drift in production.
Locked self-protection rules prevent agents from disabling their own guardrails.
Every tool call is caught by middleware, scored against built-in rulesets like destructive-commands, secrets/* and exfiltration/* in under 5ms, then enforced as block/confirm/allow via a clawsec.yaml — neat, pragmatic attack surface reduction. The demo and auto-generated config make onboarding trivial, but it currently reads as an OpenClaw-first solution; broader agent-framework integrations or stronger isolation guarantees would make this a must-install.
Deterministic <1ms policy kill switch for AI agent tool calls, zero ML.