ClawSecure vs Proto-Mind: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ClawSecure and Proto-Mind — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ClawSecure
ClawSecure
Free OpenClaw security scanner and runtime monitoring platform auditing agent skills with a 3-layer protocol and OWASP ASI Top 10 coverage.
Key features
- 3-Layer Audit Protocol: Multi-stage analysis that inspects code, behavioral patterns, and prompt interactions to detect malicious code, prompt injection, and behavioral threats across skills.
- OWASP ASI Top 10 Coverage: Automated checks mapped to the OWASP ASI Top 10 to identify common agent-specific vulnerabilities and provide standardized findings.
- Pre-install Security Scanner: Scan OpenClaw skills by pasting ClawHub URLs, GitHub links, or package locations to get a security audit before installing or integrating a skill.
- OpenClaw Security Registry: Public registry of audited skills where scanned agents can be published and discovered, enabling trust and provenance for third-party skills.
- AI-Powered Runtime Monitoring: Continuous runtime surveillance of deployed agents with behavioral detection and real-time alerts to catch live threats and anomalous activity.
- AI CISO Security Agent: Autonomous security agent that provides ongoing oversight, automated response suggestions, and policy enforcement for OpenClaw deployments.
- Threat Research & Intelligence: Ongoing vulnerability research and threat analysis derived from thousands of audits, feeding blog reports and security intelligence for teams.
- 3-Layer Audit Protocol for pre-install scanning
- Detection of malicious code and behavioral threats
- Prompt injection detection and mitigation analysis
- Supply chain vulnerability checks
- Full OWASP ASI Top 10 coverage
- Real-time runtime monitoring of deployed agents
- AI-powered monitoring (described as antivirus for agents)
- Public registry of audited OpenClaw skills
- Supports scanning via ClawHub URL or GitHub link
- Threat research and vulnerability intelligence from audits
Best for
- Pre-install Vetting: Scan a third-party OpenClaw skill (via ClawHub URL or GitHub) before installing it into workflows to prevent introducing malicious agents.
- Supply-Chain Risk Assessment: Identify supply-chain and dependency vulnerabilities in agent skills by running OWASP ASI Top 10 checks and code analysis pre-deployment.
- Runtime Threat Detection: Monitor deployed agents in production to detect behavioral anomalies, prompt injection attempts, or malicious runtime actions and trigger alerts.
- Curated Marketplace Building: Maintain a trusted catalog of audited OpenClaw skills for internal teams or public marketplaces using the audited registry.
- Security Research & Incident Response: Leverage ClawSecure's audit corpus and blog intelligence to investigate incidents, produce disclosure reports, and prioritize mitigations.
- CI/CD Integration for Agents: Integrate pre-install scans into development pipelines by scanning GitHub repositories or packages prior to release and deployment.
- Pre-install security auditing of OpenClaw agent skills to prevent installing malicious or vulnerable skills
- Runtime monitoring and protection of deployed AI agents to detect behavioral threats and anomalous activity
- Maintaining a registry of audited skills for secure discovery and distribution within the OpenClaw ecosystem
- Supply chain security assessments for agent dependencies and repositories
- Security research and intelligence generation based on aggregated audit data
Proto-Mind
VIRENCORE
A native macOS floating workspace that keeps AI conversations, project memory, files and live voice together on your Mac.
Key features
- Floating Cube Workspace: Hover the cube to reveal the workspace and click to pin it, or move away to hide it while tasks keep running in the background.
- Per-Conversation Model Routing: Each chat picks its own model and account — ChatGPT with Codex access, supported model APIs, or a local Ollama model.
- Editable Project Memory: Notes, decisions and preferences stay attached to a project and carry into later conversations, and you can review, change or remove any of them.
- Live Voice Control: Speak to open a project, steer a running task or send new work, and add a correction while the task is still going.
- Detachable Companion Windows: Pull out and resize a browser, a file or a second conversation so reference material sits beside the work.
- Explicit Mac Access: Codex can work with files and run commands only after you turn Mac access on; screen control additionally requires Codex Desktop's signed Computer Use helper.
- Local Data Storage: Conversation history and saved memory live on your Mac, and cloud processing happens only when you choose a cloud model or voice.
- Open Source Beta: The macOS installer and the Apache 2.0 source are both published, so the workspace can be inspected and built from source.
Best for
- Long-Running Project Work: Keep a website or client project's decisions in project memory so each session resumes instead of re-explaining the brief.
- Brief to Deliverable: Have the agent read a client brief and save a proposal document, then open it in a companion window next to the conversation.
- Parallel Task Execution: Start several tasks across different models at once and check back on them without blocking the conversation you are in.
- Hands-Free Steering: Dictate a correction or open a project by voice while your hands are busy elsewhere on the Mac.
- Privacy-Sensitive Drafting: Run a local Ollama model so conversation content never leaves the machine.
- Model Comparison: Put the same question to a Codex route and a local model in adjacent windows to compare the answers side by side.