Casibase is an open-source platform that orchestrates multi-turn conversations with large language models and manages retrieval-augmented knowledge bases from a single interface. It provides a unified system for connecting to over 30 AI model providers, ingesting documents into vector embeddings for semantic search, and running autonomous agent loops that can drive a browser, search the web, execute commands, and integrate with external tools.
The platform distinguishes itself by combining AI conversation management with infrastructure and application orchestration capabilities. It includes a visual workflow designer for composing multi-step pipelines, a Kubernetes blueprint orchestrator for deploying containerized applications with environment-specific customization, and a browser-based remote server gateway for managing SSH, RDP, and VNC connections. Role-based access control is enforced across routers, controllers, and UI layers, with single sign-on authentication and user-to-store data isolation.
Beyond its core AI and automation features, Casibase offers infrastructure security scanning, token-aware billing with per-message cost tracking, and integration with enterprise messaging platforms for real-time AI responses. It provides an OpenAI-compatible API endpoint, client SDKs, and Swagger-generated documentation for programmatic access. The system supports multi-store knowledge isolation, cross-store vector sharing, and a centralized dashboard for monitoring system resources, deployment states, and usage activity across providers and users.