Bolna AI Platform provides a comprehensive suite for building AI-driven conversational agents. It features a visual builder for designing dialogue flows, a robust document ingestion pipeline with semantic vector search for knowledge retrieval, and support for multiple languages. Integrations with Slack, Microsoft Teams, and website widgets are available out of the box, while APIs allow deep embedding into custom applications. Analytics dashboards offer insights on usage and performance. Bolna’s modular architecture enables rapid prototyping, iterative refinement, and scalable deployment across enterprise environments.

Mina provides a lightweight yet powerful foundation for constructing AI agents in Python. You can define custom tools (such as web scrapers, calculators, or database connectors), attach memory buffers to maintain conversational context, and orchestrate sequences of calls to language models for multi-step reasoning. Built on top of common LLM APIs, Mina handles asynchronous execution, error handling, and logging out of the box. Its modular design makes it easy to extend with new capabilities, while the CLI interface enables quick prototyping and deployment of agent-driven applications.