LibreAI / AI Agents / AdalFlow
// agents · SylphAI-Inc/AdalFlow

AdalFlow

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

★ 4.2k stars⑂ 388 forksMITupdated 2026-05
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

AdalFlow is an open-source ai agents project by SylphAI-Inc (SylphAI-Inc/AdalFlow on GitHub). It has 4,223 GitHub stars and 388 forks, is released under the MIT license, and was last updated on GitHub on 29 May 2026.

GitHub stars
4,223
Forks
388
License
MIT
Last updated on GitHub
29 May 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Define the job

    Research, coding, browsing, or ops — agents work best with a clear goal.

  2. Pick a framework

    From no-code builders to code-first SDKs, match complexity to the task.

  3. Give it tools

    Web search, code execution, and APIs are what make agents useful.

  4. Run and supervise

    Watch the trace, approve consequential actions, iterate.

// features

Why people love it

LLM-powered

Large language models drive its smartest features, locally or via API.

ML-powered

Machine learning is baked into the core workflow, not bolted on.

Human in the loop

Approval gates for actions that matter.

Memory

Long-term memory across sessions, not goldfish chat.

Multi-agent teams

Specialized agents collaborate on bigger jobs.

Tool use

Agents call real tools: browsers, terminals, APIs.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/SylphAI-Inc/AdalFlow.git
    cd AdalFlow
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains AdalFlow?

It is an open-source project at SylphAI-Inc/AdalFlow with 388 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is AdalFlow free for commercial use?

MIT licensed — use it commercially, no strings attached.

Are agents reliable enough?

For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.

How do I keep them safe?

Sandboxing, approval gates, and least-privilege credentials.

Do I need to code?

Builders exist, but code-first frameworks go further.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if AdalFlow is not the right fit.

Get AdalFlow

Free and open — grab the source, star the repo, and start creating.