Agents IA
osaurus
Osaurus — own your AI: a native macOS agent harness with any model, memory and fully offline execution.
★ 8,0 k étoilesMIT
Voir le guide →harness-sdk est un projet de agents IA open source, créé par strands-agents (strands-agents/harness-sdk sur GitHub). Il compte 8 732 étoiles sur GitHub et 1 338 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 7 octobre 2026.
An open-source SDK for production agents on any model, any cloud.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Own the whole harness, not just the model call.
Both major agent stacks covered.
Any model provider plugs in.
No lock-in to one platform.
Built for real deployments.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/strands-agents/harness-sdk.git
cd harness-sdkCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at strands-agents/harness-sdk and has attracted 1338 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
Frameworks bundle opinions about loops and tools; this SDK gives you harness structure with freedom on the rest. Choose it when you want control without starting from zero.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Osaurus — own your AI: a native macOS agent harness with any model, memory and fully offline execution.
Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Qwen-AgentWorld: a language world model simulating MCP, terminal, web, and OS environments for agents.
The SDK for extracting data and interacting with any site on the web.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si harness-sdk ne vous convient pas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de harness-sdk — continuez à explorer de part et d'autre.
iFLYTEK's enterprise agentic workflow platform — SuperAgents with workflows, RPA and one-click deploy.
A blazing-fast enterprise AI gateway: 1000+ models, sub-100µs overhead.
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute t…
Local-first microVMs for fast, programmable sandboxes.
A GEP-powered self-evolving engine for AI agents — auditable evolution with Genes, Capsules and Events.
Simple workflow patterns for building effective agents on MCP.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.