AgentFence provides a unified security layer for AI agents, covering policy enforcement, access control, and anomaly detection. It offers SDKs for Python, Node.js, and REST APIs to easily integrate with your LLM applications. With real-time monitoring dashboards and detailed audit trails, compliance teams gain full visibility into agent behavior. Customizable policies let you define allowed actions, data use rules, and user roles. Automated alerts notify stakeholders of policy violations, while historical logs support forensic analysis and regulatory reporting.

Maux is a SaaS AI agent platform that lets teams design, configure, and launch intelligent autonomous agents without deep infrastructure management. Users can choose from modular templates, customize prompt chains, and integrate with APIs like Slack, CRM systems, or databases. Maux supports multi-agent orchestration, letting agents communicate and coordinate on complex tasks. Built-in monitoring dashboards and logs provide insight into performance, usage metrics, and error handling. The platform also offers version control, role-based access, and webhook triggers, enabling seamless deployment of production-grade AI agents for customer support, research automation, data processing, and workflow automation.

VectorAdmin provides a comprehensive interface to handle all aspects of vector database management. Users can integrate multiple vector store providers through API keys, view and filter vector collections, track ingestion statuses, and monitor query latencies. The platform supports bulk import of vector data via CSV or JSON, customizable similarity search parameters, and visual embeddings distribution. Administrators gain insights into index performance with dashboards showing CPU, memory, and storage metrics. Additionally, VectorAdmin features user roles with granular permissions, alerting on threshold breaches, and audit logs for compliance, simplifying deployment of AI-driven search and recommendation systems.