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LLMStack
Open-source, no-code platform to build AI agents and workflows by chaining multiple LLMs with your own data via a drag-and-drop builder.
About LLMStack
What the tool does and who it's for
LLMStack is an open-source, no-code platform designed for building sophisticated AI agents, multi-step workflows, and chatbots integrated with private data. It allows users to chain multiple large language models (LLMs) from providers like OpenAI, Anthropic, Cohere, and Hugging Face into a single application. The platform features a drag-and-drop builder, a built-in vector database for RAG (Retrieval-Augmented Generation), and connectors for various data sources including Google Drive, Notion, Slack, and local PDFs. It supports both cloud-hosted and on-premise deployment, catering to enterprises that require strict data privacy and granular access control.
Key capabilities
Pricing
Freemium — plans below
Community / Open Source
Free
- Self-hosted via Docker
- Community support
- All basic integrations
- Core no-code builder
Cloud Offering
Contact sales
- Fully managed hosting
- Granular access controls
- Priority support
- Team collaboration tools
Enterprise
Contact sales
- On-premise deployment
- SSO & SAML integration
- Custom data connectors
- Dedicated account manager
- White-labeling options
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