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LLMStack

An open-source framework for building no-code/low-code multi-agent LLM workflows and data-driven applications.

A data-oriented no-code/low-code multi-agent platform that helps teams ship LLM capabilities faster.

Detailed Introduction

LLMStack, developed by TryPromptly, is an open-source framework designed to accelerate the construction, orchestration, and deployment of LLM (Large Language Model) applications using no-code and low-code approaches. It packages common agent patterns, workflow primitives, and data connectors into modular components that can be composed through a visual interface or configuration files. This reduces friction for teams that want to integrate large language models into products while supporting engineering-grade SDKs and deployment options.

Main Features

  • Visual multi-agent workflow editor with task routing and result aggregation.
  • Rich data connectors and RAG support to use documents, databases, and external APIs as context sources.
  • Coexists with SDKs and CLI for engineers while providing no-code panels for rapid prototyping.
  • Multiple backend adaptors and deployment modes (local or cloud).

Use Cases

  • Knowledge assistants and enterprise QA systems by connecting company documents.
  • Automated workflows that split multi-step jobs into cooperating agents.
  • Rapid prototyping and POC by product teams using the visual editor.

Technical Features

  • Modular architecture: agents, tools, and retrieval components are decoupled for reuse and replacement.
  • Adapter layer: plugin system to connect different LLM providers and vector databases.
  • Engineering-focused: SDKs, CLI, and configuration-driven deployment for CI/CD integration.
LLMStack
Resource Info
🤖 Agent Framework 🦾 Agents 🧬 LLM 🌱 Open Source