Aye vs Hacktron: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Aye and Hacktron — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Aye
Nanjing Oumi Software Development Co., Ltd.
Chromium-based AI agent that delegates repetitive browser work — video downloads, support email replies, and social ops — with human-in-the-loop approvals.
Key features
- Delegated Browser Tasks: Plans, acts, and verifies multi-step work on real websites so users can offload repetitive chores.
- Media Downloader: Saves videos and files you can access on X, Telegram, and Reddit, with progress and queue in one place.
- Inbox Assistant: Reads context of visible Gmail support messages and drafts natural English or Chinese replies.
- Social Operator: Handles replies, notifications, spam filtering, and content drafts across Reddit, X, Xiaohongshu, Zhihu, WeChat, and Tieba.
- Skills & Scheduling: Save any successful task as a Skill and run it once, at intervals, daily, or weekly.
- Human-in-the-loop Approval: Aye pauses for user confirmation at sign-in, CAPTCHA, form submission, and payment steps.
- Chromium Runtime with Adblock: Full Chromium browser with built-in ad blocking and video download helpers.
- Cross-platform Desktop App: Native builds distributed through the Mac App Store and Microsoft Store.
Best for
- Competitor research: Ask Aye to compare pricing, features, and integrations across a set of SaaS products and produce a recommendation.
- Community maintenance: Reply to comments, clear notifications, and filter spam across multiple social platforms on a daily schedule.
- Support inbox triage: Draft or send bounded English/Chinese replies to routine Gmail support tickets.
- Bulk media collection: Queue and download videos you can access on X, Telegram, and Reddit for offline use.
- Content ops: Prepare platform-native drafts for X, Xiaohongshu, Zhihu, and WeChat for review before publishing.
- Recurring browser jobs: Save any workflow as a Skill and let it run weekly without re-explaining the task.
Hacktron
Hacktron AI
An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.
Key features
- Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact.
- Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax.
- Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is.
- Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email.
- Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks.
- Versioned Project Rules: A .hacktron/rules.md file lives and versions with your code, encoding which paths are high risk and which findings to suppress, cutting false positives without going blind to real bugs.
- Threat Models from Your Documents: Upload architecture notes, security policies or past pentest reports and Hacktron builds and updates a versioned threat model for the application.
- Triage as Training: Every finding you accept, dismiss or downgrade teaches the system that codebase's threat model, so reviews sharpen the longer it stays embedded.
- MCP and REST API Access: Pull findings into Cursor, Claude Code or Codex over MCP to analyse and fix, or build custom workflows on the REST API, plus Jira and Linear ticket creation.
Best for
- Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity.
- Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between.
- SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review.
- Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues.
- Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests.
- Dependency Supply-Chain Checks: Scanning a lock file for malicious packages before they land in the build.
- Fixing Findings from Your Editor: Pulling confirmed vulnerabilities into Claude Code or Cursor over MCP and remediating them without leaving the IDE.