Agentes de IA
tons-of-skills-marketplace
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
★ 2,8 mil estrelasMIT
Ver o guia →osaurus é um projeto de agentes de IA de código aberto de osaurus-ai (osaurus-ai/osaurus no GitHub). Tem 8.027 estrelas no GitHub e 475 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.
Osaurus — own your AI: a native macOS agent harness with any model, memory and fully offline execution.
Decide whether you will run local models, Apple Foundation Models, cloud models or a mix, and whether to take the small DMG or the full offline bundle.
Clone osaurus-ai/osaurus from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Install with Homebrew cask, or download a release DMG; the full build bundles a model so you can chat offline on first launch.
Complete onboarding, download or confirm your model, and give the agent a small autonomous task inside its sandbox while you watch its memory form.
A real native harness — not an Electron wrapper — built in Swift for Apple silicon and the Apple Neural Engine ecosystem.
Local models via MLX, Apple Foundation Models / Apple Intelligence, Liquid Foundation Models, and cloud providers such as OpenAI and Anthropic.
Agents keep memory across sessions, so context survives restarts instead of resetting every conversation.
An agent loop with a sandbox, an orchestrator and spawnable subagents for focused parallel work.
Agents have a cryptographic identity, a privacy filter, and relay/secure-channel features for controlled communication.
Ships MCP (including MCP server support) and browser-use capability, plus image generation, as agent tools.
Get the source from the official GitHub repository for osaurus.
git clone https://github.com/osaurus-ai/osaurus.git
cd osaurusInstall the cask exactly as the README's install section shows.
brew install --cask osaurusOpen Osaurus, pick and download a model during onboarding (skipped on the full build), then start your first agent session.
# Launch Osaurus from Applications and complete onboarding — see READMEosaurus-ai, through the osaurus-ai/osaurus repository, with the site at osaurus.ai.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
No key is needed for local or Apple Foundation Models. Cloud models are optional and use your own provider keys; the app itself is free and MIT licensed.
Cloud assistants run on the vendor's servers with the vendor's models and data handling. Osaurus runs natively on your Mac, can work fully offline with local models, and keeps memory and identity on-device — you supply the models instead.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — complete onboarding, download or confirm your model, and give the agent a small autonomous task inside its sandbox while you watch its memory form.
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
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Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se osaurus não for o ideal para você.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.