LibreAI / Agentes de IA / atmosphere
// agents · Atmosphere/atmosphere

atmosphere

atmosphere es un proyecto de agentes de IA de código abierto de Atmosphere (Atmosphere/atmosphere en GitHub). Tiene 3.818 estrellas en GitHub y 764 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 6 de octubre de 2026.

A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.

★ 3,8k estrellas⑂ 764 bifurcacionesApache-2.0actualizado oct 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
3.818
Bifurcaciones
764
Licencia
Apache-2.0
Última actualización en GitHub
6 de octubre de 2026
Categoría
Agentes de IA
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// características

Por qué gusta tanto

One agent, many runtimes

Write an @Agent once and swap the runtime adapter — built-in, Spring AI, LangChain4j and more — without rewriting the agent.

Deep agents, batteries included

Long-term memory, a maintained plan (write_todos), a bounded virtual filesystem and sub-agent delegation on @Coordinator.

Every modern protocol

MCP, A2A and AG-UI support, streamed over WebSocket, SSE, gRPC or WebTransport/HTTP3.

Enterprise controls

Human approvals, policy engines (OPA Rego, AWS Cedar), audit sinks to Kafka/Postgres and an admin control plane.

Durable by design

Durable sessions (SQLite/Redis), checkpoints and a sandbox module for long-running agents.

CLI scaffolding

atmosphere new creates apps from templates, atmosphere run launches samples, and atmosphere import turns a SKILL.md into a project.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/Atmosphere/atmosphere.git
    cd atmosphere
  2. Install the CLI

    Install Atmosphere via Homebrew or the install script.

    brew install Atmosphere/tap/atmosphere
    # Or: curl -fsSL https://raw.githubusercontent.com/Atmosphere/atmosphere/main/cli/install.sh | sh
  3. Create and run an agent

    Scaffold a chat agent, set your model key, and run it — swap --runtime to target Spring AI or LangChain4j.

    atmosphere new my-agent --template ai-chat
    cd my-agent
    LLM_API_KEY=your-key ./mvnw spring-boot:run
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains atmosphere?

It is maintained by Atmosphere on GitHub (Atmosphere/atmosphere), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.

Does it need a paid API key?

Yes — agents call an LLM through the runtime you choose, so you supply that provider's API key (the samples read LLM_API_KEY).

How does it compare to building directly on Spring AI or LangChain4j alone?

Compared with building directly on Spring AI or LangChain4j alone, atmosphere's distinguishing focus is: a portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/Atmosphere/atmosphere (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// sigue explorando

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// alternativas

Alternativas en Agentes de IA

Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si atmosphere no es lo que buscas.

// más en agents

Más en Agentes de IA

Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a atmosphere: sigue explorando a ambos lados.

Consigue atmosphere

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.