LibreAI / AI Agents / awesome-llm-apps
// agents · Shubhamsaboo/awesome-llm-apps

awesome-llm-apps

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

★ 140.6k stars⑂ 20.7k forksApache-2.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

awesome-llm-apps is an open-source ai agents project by Shubhamsaboo (Shubhamsaboo/awesome-llm-apps on GitHub). It has 140,633 GitHub stars and 20,663 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 30 September 2026.

GitHub stars
140,633
Forks
20,663
License
Apache-2.0
Last updated on GitHub
30 September 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

Python ecosystem

Built on Python, so it plugs into the wider data and ML tooling ecosystem.

Self-hosted

Run agents on your infra with your keys.

Model agnostic

Swap frontier models as better ones appear.

Observability

Traces show exactly what the agent did and why.

Human in the loop

Approval gates for actions that matter.

Memory

Long-term memory across sessions, not goldfish chat.

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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/Shubhamsaboo/awesome-llm-apps.git
    cd awesome-llm-apps
  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 awesome-llm-apps?

It is an open-source project at Shubhamsaboo/awesome-llm-apps with 20,663 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is awesome-llm-apps free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

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 awesome-llm-apps is not the right fit.

Get awesome-llm-apps

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