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LLMStack

trypromptly/LLMStack

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

GraphCanon updated 3d · GitHub synced 3d

2.3k stars347 forksLast push 1y Python Other

Decision brief

LLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise.

Good fit when

  • Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models.
  • Ideal for scenarios where quick development and deployment of generative AI applications are required without requiring significant programming knowledge.

Avoid when

  • Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives.
  • Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures.

Observed Jul 14, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (612d since push)
As of 3d
Provenance
Not a fork · Organization account
As of 3d
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install LLMStack
PyPI

How it fits your stack(4)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Offers a no-code environment for creating AI agents, leveraging large language models to develop complex workflows and applications without coding.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Aug 16, 2026

Languages
python

Source: github.language+pyproject.toml · Aug 16, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 16, 2026)

pip install llmstack
Source link

Tags

README

Getting Started

Check out our Cloud offering at Promptly or follow the instructions below to deploy LLMStack on your own infrastructure.

LLMStack deployment comes with a default admin account whose credentials are admin and promptly. Be sure to change the password from admin panel after logging in.


Installation

Prerequisites

LLMStack depends on a background docker container to run jobs. Make sure you have Docker installed on your machine if want to use jobs. You can follow the instructions here to install Docker.

Install LLMStack using pip

pip install llmstack

If you are on windows, please use WSL2 (Windows Subsystem for Linux) to install LLMStack. You can follow the instructions here to install WSL2. Once you are in a WSL2 terminal, you can install LLMStack using the above command.

Start LLMStack using the following command:

llmstack

Above commands will install and start LLMStack. It will create .llmstack in your home directory and places the database and config files in it when run for the first time. Once LLMStack is up and running, it should automatically open your browser and point it to localhost:3000.

You can add your own keys to providers like OpenAI, Cohere, Stability etc., from Settings page. If you want to provide default keys for all the users of your LLMStack instance, you can add them to the ~/.llmstack/config file.

For agents

This page has a .md twin and JSON over the API.

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