Darkmoon vs LoopX: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Darkmoon and LoopX — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Darkmoon
Darkmoon Project
Open-source autonomous penetration testing platform with 18 AI agents, 80+ integrated tools, live dashboard and publication-ready reports.
Key features
- Multi-Agent Orchestration: Coordinates 18 specialized AI agents that perform distinct pentesting tasks (reconnaissance, exploitation, post-exploitation) to run distributed, autonomous assessments.
- Extensive Tool Integration: Integrates 80+ security tools into a unified workflow, allowing automatic use of scanners, exploitation frameworks, and enumeration utilities without manual tool chaining.
- Live Dashboard Monitoring: Provides a real-time dashboard to observe agent activities, progress, findings, and task status, enabling live oversight and interaction during engagements.
- Evidence Collection & Reproducibility: Captures verifiable evidence (logs, screenshots, commands) for each finding and produces reproducible artifacts that support validation and remediation.
- Publication-Ready Reporting: Automatically generates structured, professional reports summarizing vulnerabilities, impact, steps to reproduce, and remediation guidance suitable for stakeholders.
- Extensibility & Open Source: Distributed under GPLv3 with modular architecture to add custom agents, integrate additional tools, or adapt workflows for specific environments.
- Autonomous Workflow Automation: Chains reconnaissance, exploitation, and validation steps without continuous human intervention to scale routine testing and free analysts for higher-value tasks.
- Autonomous attack orchestration across multiple stages
- 18 specialized agents for different testing tasks
- 80+ integrated security tools
- Live dashboard for monitoring runs
- Publication-ready, evidentiary reports
- Open-source codebase (GPLv3)
- Autonomous multi-agent penetration testing with 18 specialized AI agents
- Integration with 80+ security tools for scanning, exploitation, and analysis
- Live dashboard for real-time monitoring of test progress and agent activity
- Publication-ready, evidence-backed reports for findings and remediation
- Open-source distribution under GPLv3 enabling self-hosting and auditability
- Automated evidence collection and validation of exploits
- Extensible workflows and tool integrations for customizable testing
Best for
- Automated Red Teaming: Run continuous or scheduled autonomous red-team style assessments across an environment to uncover attack paths and validate defenses with minimal human supervision.
- Vulnerability Discovery at Scale: Perform large-scale reconnaissance and automated scanning across many targets using integrated tools to surface emerging vulnerabilities quickly.
- Compliance & Audit Reporting: Generate detailed, reproducible reports for compliance audits that include evidence and remediation steps to demonstrate security posture improvements.
- Security Research & Tooling Integration: Rapidly prototype and evaluate new exploitation techniques by integrating custom tools and agents into Darkmoon’s orchestration framework.
- Continuous Security Testing: Integrate into CI/CD or periodic security workflows to automatically re-assess applications and infrastructure after changes or deployments.
- Incident Reproduction & Forensics: Reproduce exploitation steps and collect verifiable evidence to support incident investigations and post-incident analysis.
- Automated red team / penetration testing
- Continuous security assessments in CI/CD
- Security research and tool evaluation
- Generating evidence-backed reports for compliance
- Integrating multiple pentest tools into automated workflows
- Automated internal and external vulnerability assessments
- Autonomous red-team style engagements and continuous security testing
- Evidence-backed reporting for compliance and remediation tracking
- Proof-of-concept exploit validation and penetration test automation
- Self-hosted security testing pipelines for DevSecOps teams
L
LoopX
huangruiteng
Provider-neutral state kernel and local-first control plane for governing long-running AI agent loops across Codex, Claude Code, Cursor, and peer teams.
Key features
- Loop-Engineering State Kernel: A compact durable-state layer that keeps objectives, gates, todos, evidence, quotas, and handoffs consistent across many bounded turns.
- Runtime-Agnostic: Governs work executed by any coding-agent runtime — Codex, Claude Code, Cursor, or your own — without replacing them.
- Peer-Agent Model: Registered agents are peers; claims, leases, capabilities, and typed continuation decide who acts next, with no durable leader identity.
- Kanban-Style Control Plane: Cards carry identity, authority, evidence, and continuation; moves are validated operators (claim, gate, monitor, writeback).
- Local-First: The control plane runs locally by default — the public/private boundary is explicit, so private data and code stay on your machine.
- Auto-Wake and Quotas: Quota-aware auto-wake keeps agents progressing on long-running goals without a runaway scheduler.
- Evidence & Continuation: 200+ hour example loops preserve decision lineage, evidence branches, and invalid experiments across turns.
- Human-In-Command: Dangerous permissions, publishing, and production writes remain gated to the human owner — not autonomous.
Best for
- Multi-Day SWE Loops: Drive week-long engineering objectives across many bounded agent turns while keeping scope and review state intact.
- PR/Issue Automation: Preserve review state, evidence, and reviewer preferences across a PR that touches multiple turns and agents.
- Auto-ML Experiments: Keep hypotheses, matched evidence, invalid lineages, and promote/stop gates visible in a single graph over hundreds of hours.
- Multi-Agent Coordination: Coordinate a peer team of Codex + Claude Code + Cursor agents on the same objective with typed handoffs.
- Recurring Monitors: Run heartbeat or monitoring loops with owner-visible gates and evidence trails.
- Creator/Research Workflows: Give non-engineering owners a legible board of long-running work with human sign-off at each gate.