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

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

HOL Guard

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.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.