LibreAI / Agentes de IA / awesome-llm-apps
// agents · Shubhamsaboo/awesome-llm-apps

awesome-llm-apps

awesome-llm-apps é um projeto de agentes de IA de código aberto de Shubhamsaboo (Shubhamsaboo/awesome-llm-apps no GitHub). Tem 140.633 estrelas no GitHub e 20.663 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 30 de setembro de 2026.

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

★ 140,6 mil estrelas⑂ 20,7 mil forksApache-2.0atualizado set 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Estrelas no GitHub
140.633
Forks
20.663
Licença
Apache-2.0
Última atualização no GitHub
30 de setembro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como funciona

  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.

// recursos

Por que as pessoas gostam tanto

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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// execute você mesmo

Execute você mesmo

  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
// casos de uso

O que você pode criar

Readers working through the AI Agents shelf also stop at MMLU-Pro, the tougher, more robust successor to the MMLU benchmark. Readers working through the AI Agents shelf also stop at RAMPART, Safety testing for agents, right in pytest. The AI Agents shelf also holds AgentArk — a personal AI assistant that puts security first.

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// perguntas frequentes

Perguntas frequentes

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.

// continue explorando

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// alternativas

Alternativas em Agentes de IA

Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se awesome-llm-apps não for o ideal para você.

// mais em agents

Mais em Agentes de IA

Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de awesome-llm-apps: continue explorando dos dois lados dele.

Baixe o awesome-llm-apps

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.