LLM Orchestration

AdalFlow

AdalFlow: A library to build & auto-optimize LLM applications.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier

What it is

AdalFlow is an open-source Python library designed to facilitate the development and optimization of large language model (LLM) applications. It provides a framework for auto-prompting and information retrieval, leveraging technologies such as BM25 and FAISS for efficient data handling. The library supports a range of functionalities including question-answering, summarization, and retriever capabilities, making it a versatile tool for natural language processing tasks. With a focus on generative AI and machine learning, AdalFlow aims to streamline the process of building sophisticated AI-driven applications.

Combines auto-prompting with advanced information retrieval techniques.

When it fits — and when it doesn’t

A good fit for

  • Developers building NLP applications

    Offers a range of NLP functionalities like summarization and question-answering.

  • Teams needing open-source solutions

    AdalFlow is available under the MIT license, allowing for flexible use and modification.

Look elsewhere if

  • Projects requiring extensive documentation

    Current documentation may not be sufficient for complex implementations.

  • Developers needing immediate bug fixes

    High number of open issues could delay resolution of specific problems.

Known weaknesses

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

  1. 01

    High number of open issues

    68 open issues on GitHub.

  2. 02

    Limited documentation

    User feedback suggests documentation could be more comprehensive.

  3. 03

    Recent last commit

    Last commit was in May 2026.

What it does well

  • Comprehensive NLP capabilities

    Supports question-answering, summarization, and retriever functionalities.

  • Open-source with MIT license

    Available on GitHub under the MIT license.

  • Active development and community

    4211 stars and 388 forks on GitHub.

Pricing

Free tier
Yes
Paid from
—
Model
N/A
Enterprise plan
No

Pricing last confirmed Sep 30, 2026.

Performance benchmarks

How Fast Is It?

Set up AdalFlow

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

Open the setup guide →
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