LLM Orchestration

LLMFlow

Simple, Explicit and Transparent LLM Apps

Status
UnmaintainedNo commits in 1053 days.
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

LLMFlow is a framework for building explicit and transparent applications using large language models. It simplifies the process of integrating and orchestrating LLMs into your projects.

LLMFlow stands out with its explicit and transparent design, making it easier for developers to understand and integrate LLMs into their applications.

When it fits — and when it doesn’t

A good fit for

  • Developers looking for a simple way to integrate LLMs into their projects

  • Educators and researchers who need transparent AI models for teaching purposes

  • Teams building applications where the logic of LLM usage needs to be clear

Look elsewhere if

  • Projects requiring real-time streaming capabilities (LLMFlow is batch-oriented)

  • Applications that require a managed backend service rather than self-hosting

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development focuses on Python, with minimal official support for other languages

  2. 02

    Small community and limited third-party integrations

    GitHub stars are under 1000, fewer than expected for a framework of this type

What it does well

  • Simplifies LLM integration into applications

  • Transparent and explicit design for better understanding

  • Flexible configuration options for various use cases

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up LLMFlow

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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