ИИ-агенты
Upsonic
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
★ 8,0 тыс. звёздMIT
Смотреть руководство →kuberna-labs — проект с открытым исходным кодом из категории «ИИ-агенты» от kawacukennedy (kawacukennedy/kuberna-labs на GitHub). У него 51 звезда на GitHub и 9 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 1 октября 2026.
Build, deploy, and monetize autonomous agents across Web3.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Built for decentralized networks.
Trusted hardware for agent computation.
Operate across blockchains.
Agents that earn, not just spend.
Build, deploy, monetize in one place.
Open for experimentation.
Download the source and move into the project folder.
git clone https://github.com/kawacukennedy/kuberna-labs.git
cd kuberna-labsPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at kawacukennedy/kuberna-labs with 9 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — it's MIT licensed: free to use, modify, and ship commercially. Just keep the license notice in copies.
Operate across decentralized networks — with TEEs and cross-chain intents — and earn. It's early, so expect rough edges.
With 51 stars it's clearly early-stage — treat it as experimental.
Clone the repo and follow the README quickstart — the docs at https://kuberna-labs.onrender.com walk through setup.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
NVIDIA's object-oriented, Pythonic approach to building AI agents.
Build customer-facing AI agents that actually follow your rules
Decentralized P2P mesh for autonomous AI agents — your identity, your devices, no central server
Build, run, and scale AI agents like APIs and microservices.
Uber's ADR: discover, observe, benchmark, and detect threats across enterprise AI agents, deployed at Uber.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kuberna-labs вам не подходит.
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.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к kuberna-labs — продолжайте изучать полку по обе стороны от него.
The official Python SDK for building on Vapi's voice AI platform.
Beam — Reflection's open 501B MoE model built for agentic coding: 23B active parameters, a 1M-token context, Apache-2.0 weights, and Mirror, its open-source terminal harness
Autonomous research loops, from topic to experiments.
A personal AI that really does things — on any OS, with your data staying yours.
WebArena-Verified: the audited, deterministically scored release of the WebArena web-agent benchmark.
An agentic skills framework & software development methodology that works.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.