LibreAI / Agents IA / osaurus
// agents · osaurus-ai/osaurus

osaurus

osaurus est un projet de agents IA open source, créé par osaurus-ai (osaurus-ai/osaurus sur GitHub). Il compte 8 027 étoiles sur GitHub et 475 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.

Osaurus — own your AI: a native macOS agent harness with any model, memory and fully offline execution.

★ 8,0 k étoiles⑂ 475 forksMITmis à jour oct. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
8 027
Forks
475
Licence
MIT
Dernière mise à jour sur GitHub
8 octobre 2026
Catégorie
Agents IA
Type de fiche
Guide d'installation complet
Site officiel
Official site
// fonctionnement

Comment ça marche

  1. Clarify your goal

    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.

  2. Get the project

    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.

  3. Install and configure

    Install with Homebrew cask, or download a release DMG; the full build bundles a model so you can chat offline on first launch.

  4. Run your first task

    Complete onboarding, download or confirm your model, and give the agent a small autonomous task inside its sandbox while you watch its memory form.

// fonctionnalités

Pourquoi on l'adore

Native Swift macOS app

A real native harness — not an Electron wrapper — built in Swift for Apple silicon and the Apple Neural Engine ecosystem.

Any model

Local models via MLX, Apple Foundation Models / Apple Intelligence, Liquid Foundation Models, and cloud providers such as OpenAI and Anthropic.

Persistent memory

Agents keep memory across sessions, so context survives restarts instead of resetting every conversation.

Sandboxed autonomous execution

An agent loop with a sandbox, an orchestrator and spawnable subagents for focused parallel work.

Cryptographic identity and privacy

Agents have a cryptographic identity, a privacy filter, and relay/secure-channel features for controlled communication.

MCP and browser use

Ships MCP (including MCP server support) and browser-use capability, plus image generation, as agent tools.

Advertisement
// lancez-le

Lancez-le vous-même

  1. Clone the repository

    Get the source from the official GitHub repository for osaurus.

    git clone https://github.com/osaurus-ai/osaurus.git
    cd osaurus
  2. Install with Homebrew

    Install the cask exactly as the README's install section shows.

    brew install --cask osaurus
  3. Launch and onboard

    Open 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 README
// cas d'usage

Ce que vous pouvez créer

Advertisement
// faq

Questions fréquentes

Who maintains osaurus?

osaurus-ai, through the osaurus-ai/osaurus repository, with the site at osaurus.ai.

Is osaurus free to use?

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.

Does osaurus need a paid API key?

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.

How does Osaurus compare to a cloud AI assistant app?

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.

How do I get started with osaurus?

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.

// continuez l'exploration

Outils similaires

Agents IA

tons-of-skills-marketplace

Model-agnostic marketplace of agent skills with a harness-free canonical layer.

★ 2,8 k étoilesMIT
Voir le guide →
Agents IA

open-codex-computer-use

Open-source Computer Use as an MCP service: let any agent drive macOS, Linux, and Windows desktops.

★ 2,4 k étoilesMIT
Voir le guide →
Agents IA

Talorys

Talorys — your personal AI agent in your own Cloudflare account: chat, memory, tasks, notes and scheduled routines, deployed with one command

★ 1,1 k étoilesMIT
Voir le guide →
Agents IA

macos-harness

A minimal harness that lets an LLM fully control a Mac.

★ 902 étoilesMIT
Voir le guide →
Agents IA

Memoh

Multi-agent platform where every agent gets its own computer and long-term memory.

★ 2,6 k étoilesAGPL-3.0
Voir le guide →
Agents IA

Memori

Agent-native memory infrastructure - structured, persistent memory for production agents

★ 17,1 k étoilesNOASSERTION
Voir le guide →
// alternatives

Alternatives en Agents IA

Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si osaurus ne vous convient pas.

// plus en agents

Plus en Agents IA

Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de osaurus — continuez à explorer de part et d'autre.

Obtenir osaurus

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.