Agnost AI vs HOL Guard: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Agnost AI and HOL Guard — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Agnost AI

Agnost Tech Inc

Freemium

Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.

Silent Failure Detection: Reads each trace next to the conversation to catch cases where the run reported success but the user got nothing useful, including broken promises and confidently wrong answers.
Automatic Conversation Clustering: Turns thousands of chats into ranked recurring problems, ordered by user impact and ready to investigate rather than left as raw logs.
Frustration and Churn Signals: Pinpoints where users rage-prompt, get stuck or abandon the conversation, so churn drivers are visible before the user leaves.
Policy and Quality Violation Alerts: Flags hallucinations and quality, policy and compliance breaches with the exact conversation and trace behind each one.
Evidence-Backed Fix Recommendations: Hands over the highest-impact fixes with supporting evidence, a recommended change and the evals needed to ship it safely.
Two-Step Skill Install: Connects to an existing agent by installing an agent skill and running one prompt, with no rebuild of the agent and no separate implementation project.
Feature Request Mining: Surfaces what users repeatedly ask for across conversations, turning support volume into a prioritised roadmap signal.
Live Demo Without Signup: Ships a public interactive demo where you can click any insight and inspect the underlying conversations before creating an account.

Diagnosing Agent Churn: Finding the recurring conversation pattern that makes users abandon a support agent, with the specific chats as evidence.
Auditing Production Agents for Compliance: Reviewing conversations for policy violations and unsupported claims across real traffic rather than a hand-picked sample.
Prioritising Agent Improvements: Deciding which prompt or flow to fix next based on how many users hit each failure cluster instead of on anecdote.
Catching Regressions After a Prompt Change: Watching whether a newly shipped change increases silent failures or user frustration in live conversations.
Building Evals from Real Failures: Turning observed production failures into regression evals so the same bug does not ship twice.
Mining Conversations for Roadmap Input: Extracting repeated feature requests from support and sales chats to feed product planning.

HOL

Freemium

HOL Guard sits between AI coding agents and their tools to intercept risky reads, installs, MCP registrations, and config changes before execution.

Pre-execution Interception: Wraps agent launch commands so risky reads, installs, MCP registrations, and config or hook changes are surfaced as a reviewable diff before they run.
Under 50 ms Local Scan: All scanning happens on-device with no outbound network call, keeping agent workflows fast and usable fully offline.
One-keystroke Approval Flow: Each block presents the diff on screen so the developer can allow or deny with a single key, and the decision is written to a local receipt.
Multi-Harness Support: Ships tailored integrations for Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Hermes, and OpenClaw so the same policy engine covers every agent.
Guard Cloud Sync: Optional cloud tier syncs decision receipts, alerts, and audit history across machines while never uploading file contents, prompts, or environment variables.
Team Policy Packs: Team plan deploys shared policy packs, team alerts, and investigation routing so multiple developers operate under the same runtime rules.
Plugin Scanner for Maintainers: Companion CLI and GitHub Action verify plugin manifests, MCP transport posture, and skill-level prompt-injection markers before release.

Blocking secret exfiltration: Stop a coding agent from reading .npmrc, .env, or cloud credential files during an automated task.
Guarding MCP installs: Review new MCP server registrations for insecure HTTP endpoints or wildcard binds before they are added to the harness.
Enforcing config approvals: Require an explicit allow on config or hook edits proposed by an agent so surprise supply-chain changes are caught in place.
Team-wide policy control: Roll out a single Guard policy pack across a team so every developer's Cursor or Claude Code session enforces the same runtime rules.
Cross-device continuity: Sync approval history through Guard Cloud so switching laptops does not force a developer to re-approve safe actions from scratch.
Plugin release gating: Use the plugin-scanner action in CI to fail PRs that publish plugins below a minimum trust score or with high-severity issues.