Daemons by Charlie Labs vs Hacktron: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Daemons by Charlie Labs and Hacktron — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Daemons by Charlie Labs
Charlie Labs
Always-on AI agents defined in markdown that work 24/7 across Slack, Linear, and GitHub without prompts.
Key features
- Markdown-Defined Daemons: Author agent behavior in simple .md files that are easy to read, version, and customize.
- Always-On Operation: Daemons run 24/7 and act proactively without requiring explicit prompts each time.
- Multi-Tool Integration: Works across Slack, Linear, GitHub, and more to coordinate tasks where teams already operate.
- Completed-Work Billing: A credit system charges only for finished work like bugfixes, features, or refactors, with PR reviews always free.
- Engineering Automation: Keeps pull requests, issues, CI, and documentation moving so engineers focus on novel problems.
Best for
- PR Maintenance: Keeping pull requests reviewed and moving without manual chasing.
- Issue Triage: Proactively managing Linear and GitHub issues across the backlog.
- Routine Refactors: Shipping small fixes and refactors automatically so engineers focus on harder work.
- Docs Upkeep: Keeping documentation in sync as code and issues change.
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.