KI-Agenten
tons-of-skills-marketplace
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
★ 2,8 Tsd. SterneMIT
Anleitung ansehen →osaurus ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von osaurus-ai (osaurus-ai/osaurus auf GitHub). Es hat 8.027 Sterne auf GitHub und 475 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
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.
Open-source Computer Use as an MCP service: let any agent drive macOS, Linux, and Windows desktops.
Talorys — your personal AI agent in your own Cloudflare account: chat, memory, tasks, notes and scheduled routines, deployed with one command
A minimal harness that lets an LLM fully control a Mac.
Multi-agent platform where every agent gets its own computer and long-term memory.
Agent-native memory infrastructure - structured, persistent memory for production agents
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls osaurus nicht das Richtige ist.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die osaurus bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
NVIDIA Isaac GR00T N1.7 — an open foundation model for generalist robots, ready to fine-tune and deploy.
ZCode — Z.ai's AI coding workspace: desktop app, browser interface and terminal agent in one open-source harness
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.