Sys-Agent provides a secure, self-hosted environment where users issue natural language instructions to perform system-level tasks. It connects with AI backends like OpenAI, local LLMs or other model services, translating prompts into shell commands, file operations, and infrastructure checks. Users can customize prompts, define task templates, scale through Docker or Kubernetes, and extend functionality via plugins. Sys-Agent logs all actions and offers audit trails to ensure transparency and security.

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.

Nuzon-AI provides a Python-based agent framework that lets you define tasks, manage conversational memory, and extend capabilities via plugins. It supports integration with major LLMs (OpenAI, local models), enabling agents to perform web interactions, data analysis, and automated workflows. The architecture includes a skill registry, tool invocation system, and multi-agent orchestration layer, allowing you to compose agents for customer support, research assistance, and personal productivity. With configuration files, you can tailor each agent’s behavior, memory retention policy, and logging for debugging or audit purposes.

Catalyst by Raga is a SaaS platform designed to simplify the creation and operation of AI-powered agents across enterprises. Users can ingest data from databases, CRMs, and cloud storage into vector stores, configure memory policies, and orchestrate multiple LLMs to answer complex queries. The visual builder allows drag-and-drop workflow design, tool and API integration, and real-time analytics. Once configured, agents can be deployed as chat interfaces, APIs, or embedded widgets, with role-based access, audit logs, and scalability for production.