“guardrails”

AI Agent Guardrails MCP server - security layer

Local prompt regression tracker with six fictional cases and evidence for human review.

Merge gates and safety checks for AI coding agents.

Deterministic policy firewall for AI agent tool calls - YAML rules, not a fuzzy risk score.

Advisory detectors for rumination, hyperfocus, and sycophancy.

Action-level governance for AI agents -- control what they DO, not what they SAY

Local-first architecture guardrails and project context for JS/TS AI coding agents.

Pre-action gates that block AI agents from repeating known mistakes.

Guardrailed video editing for AI agents: FFmpeg, captions, effects, Hyperframes, and receipts.

Pre-action gates that block AI agents from repeating known mistakes.

Load-test a URL, ping it by phase, ramp to find the capacity, compare runs: JSON reports, guardrails

Guardrails for LLM answers: exact checks against sources, PASS/REVIEW/FAIL, signed records.

Constitutional guardrails and loop detection for AI agents

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.

Risk guardrails for AI trading agents.

Structured execution for coding agents: contracts, postconditions, gates, guardrails.

Local-first control plane for coding agents: routing, reservations, and guardrails.

Deterministic guardrail your coding agent runs on itself: diff-scoped findings, zero LLM tokens.

Architecture guardrails for AI-written code: dependency graph, impact, dead code, CI gate

CPFS Runner as an MCP server — deterministic AI coding guardrails via a compiled WASM core.

Local secret guardrails: scan code, git changes and MCP configs for API keys; redact text

Local guardrail proxy that blocks destructive MCP tool calls, rug pulls, and tool poisoning

Guardrails for AI coding agents: verified claims, reviews bound to exact commits, gated merges.

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.