Deterministic safety solutions for probabilistic AI agents

Agent-native LLM router that optimizes your agent with every run. Zero harness changes — every model call reliable, traceable, secure, and cost-effective.

MCP middleware that blocks dangerous AI agent actions using a simple YAML config

Merge gates and safety checks for AI coding agents. Works with Claude Code, Cursor, Windsurf, Codex via MCP. Detect scope violations, missing tests, and risks before merge.

Secure every action your AI agents take (Claude Code, Codex, MCP). Blocks secret access, gates risky commands, and enforces allow/deny/approval before actions run.

Deterministic tool-call guardrails for pi — enforce rules with before-tool hooks instead of prompts

Semantic mistake-memory and guardrail for AI agents. Stops agents from repeating the same failures using causal graphs and semantic matching. Supports MCP, LangGraph, and in-process Python.

Portable runtime policy and audit layer for AI agents - HTTP/HTTPS proxy enforcing egress policies, inspecting content, materializing secrets, and recording every decision.

Runtime guardrails for AI agents that enforce token budgets, loop limits, and tool rate limits locally.

Deterministic governance engine for AI agents. Enforce rules defined in .md governance files across AI systems.

On-chain guardrails for AI agents — EIP-7702 spend limits, cryptographic execution receipts, automated dispute resolution. No agent should hold unguarded keys.

Teams and Solo Devs Claude Code hooks setup for observability and guardrails. Understand how skill, subagents, prompts are working and where is claude struggling to improve systematically

Discipline hooks for Claude Code. Stops the agent from claiming 'done' without proof, blocks accidental writes to ~/.claude config, and routes prompts to skills via local pgvector with zero Anthropic tokens.

Who watches the agents?

Hermes Agent plugin that vetoes tool calls against environments you shouldn't touch — typically production. Declarative YAML policy with glob-based host allow/blocklists, cwd matching, IDN/homograph defenses, and a warn mode for dry-runs.

Guardians for autonomous AI agents. Detect loops, crashes, prompt injection, validator failures, drift, and runaway costs in production. Python + TypeScript SDKs, Go backend, drop-in adopt.

Pi Steering Hooks 2026: Deterministic Tool-Call Guardrails for Reliable AI Automation

How to build an always-on, autonomous AI operations assistant, and the doctrine + hooks pattern that keeps an auto-approved agent diligent unattended.