Agentes de IA
page-agent
Alibaba's in-page GUI agent: control any web interface with natural language, from one script tag
★ 29,4 mil estrelasMIT
Ver o guia →atmosphere é um projeto de agentes de IA de código aberto de Atmosphere (Atmosphere/atmosphere no GitHub). Tem 3.818 estrelas no GitHub e 764 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 6 de outubro de 2026.
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
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.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Write an @Agent once and swap the runtime adapter — built-in, Spring AI, LangChain4j and more — without rewriting the agent.
Long-term memory, a maintained plan (write_todos), a bounded virtual filesystem and sub-agent delegation on @Coordinator.
MCP, A2A and AG-UI support, streamed over WebSocket, SSE, gRPC or WebTransport/HTTP3.
Human approvals, policy engines (OPA Rego, AWS Cedar), audit sinks to Kafka/Postgres and an admin control plane.
Durable sessions (SQLite/Redis), checkpoints and a sandbox module for long-running agents.
atmosphere new creates apps from templates, atmosphere run launches samples, and atmosphere import turns a SKILL.md into a project.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/Atmosphere/atmosphere.git
cd atmosphereInstall 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 | shScaffold 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:runIt is maintained by Atmosphere on GitHub (Atmosphere/atmosphere), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Yes — agents call an LLM through the runtime you choose, so you supply that provider's API key (the samples read LLM_API_KEY).
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.
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.
Alibaba's in-page GUI agent: control any web interface with natural language, from one script tag
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.