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.