LLMStack is a no-code platform designed for building generative AI agents, workflows, and chatbots. It targets users who want to integrate their data and business processes with LLMs without writing code, enabling the creation of custom AI applications.

How It Works

LLMStack utilizes a no-code builder to chain multiple LLMs and connect them to user data and external tools. It handles data preprocessing and vectorization, storing it in an integrated vector database. This approach allows for the creation of complex AI applications by visually assembling components, abstracting away the complexities of LLM orchestration and data management.

Quick Start & Requirements

• Install via pip: pip install llmstack
• Requires Docker for job execution.
• Windows users must use WSL2.
• Starts automatically at localhost:3000.
• Documentation: docs.trypromptly.com/llmstack
• Quickstart video available.

Highlighted Details

• Builds agents (e.g., AI SDRs, Research Analysts) and chains multiple LLMs.
• Supports data import from various formats (CSV, PDF, etc.) and sources (Gdrive, Notion, web).
• Deployable on cloud or on-premise, with API access and Slack/Discord integration.
• Features multi-tenancy for organizations and users.

Maintenance & Community

• Cloud offering available at Promptly.
• Development guide and contribution guidelines provided.
• Discord server link available for community interaction.

Licensing & Compatibility

• License details are not explicitly stated in the README.

Limitations & Caveats

• Windows users are required to use WSL2 for installation and operation.
• The specific license type and its implications for commercial use or closed-source linking are not detailed.