LLMStackOpen-source platform for building AI agents and applications with custom data, supporting diverse LLM providers.

LLMStack is an open-source platform designed to facilitate the creation of AI agents, workflows, and applications. Its primary function is to enable users to integrate their proprietary data with large language models to build customized generative AI solutions. The platform addresses the challenge of securely and efficiently connecting enterprise or personal data to powerful AI models. It is built for developers and teams looking to leverage generative AI without starting from scratch, offering a structured environment to develop and deploy AI-powered tools. At its core, LLMStack supports a wide array of major LLM providers, including OpenAI, Cohere, Stability AI, and Hugging Face models, allowing users flexibility in choosing their underlying AI engine. A key capability is "Model Chaining," which suggests the ability to orchestrate multiple models or steps within an AI application. For data integration, LLMStack provides extensive support for importing and connecting various data sources. This includes common formats like Web URLs, Sitemaps, PDFs, Audio files, and PPTs, as well as integrations with services like Google Drive and Notion. This broad data ingestion capability is crucial for building Retrieval Augmented Generation (RAG) applications that can provide contextually relevant responses based on specific user data. Beyond building, LLMStack also emphasizes collaborative development and deployment. It allows multiple users to modify and build applications together through viewer and collaborator roles. Finished applications can be shared publicly or restricted to specific individuals using a granular permission model. While primarily offered as an open-source solution for self-deployment, the platform also indicates a "Cloud Offering" for those preferring a managed service.