Mogoj AI
A comprehensive AI platform offering tools for building scalable conversational agents, AI-ready applications, and a unified knowledge base.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Mogoj AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Mogoj AI is developing a unified and robust conversational agent platform designed to seamlessly integrate with users' workflows. The platform comprises several key components: 'Mitra,' a workspace facilitating collaboration between teams and agents for efficient task completion; 'Chetan,' an intuitive and composable framework for building scalable agents with customizable and decoupled architecture; 'Kriya,' a unified SDK and runtime for developing AI-ready applications, providing bundled functions and interfaces for real-world interactions; and 'Gyankosh,' a unified knowledge base with built-in retrieval-augmented generation (RAG) and vector store capabilities, allowing storage and querying of various documents, media, files, spreadsheets, and presentations. Mogoj AI aims to release the first stable build of this ecosystem in early 2026.
Key features
- conversational AI
- agent development
- AI platform
- knowledge base
- AI-ready applications
Use cases
- Developing scalable and customizable conversational AI agents.
- Creating AI-ready applications with integrated agent and user interaction capabilities.
- Storing and querying diverse knowledge assets in a unified knowledge base.
- Facilitating collaboration between teams and AI agents for efficient task management.
- Building AI solutions with a composable framework and unopinionated architecture.