MemoryOS
A memory operating system for long-term, personalized AI agents.
suna — проект с открытым исходным кодом из категории «ИИ-агенты» от kortix-ai (kortix-ai/suna на GitHub). У него 20 260 звёзд на GitHub и 3 439 форков, он распространяется по лицензии NOASSERTION и последний раз обновлялся на GitHub 8 октября 2026.
Kortix - the open-source AI operating system: agents, skills and memory as files in a repo
Decide which agents, skills and connectors your team needs - the project will hold them as files.
Install the CLI with the official install command.
Run kortix init to create kortix.yaml plus your agents, skills and runtime config.
Run kortix ship to push the repo and bring the stack live, then review the agent's change requests.
Agents, skills, memory, connectors and triggers live as versioned files reviewed like code.
Every session gets an isolated cloud computer on a branch named after the session; work returns as change requests.
One config can run many agents in parallel across the team.
Per-resource permissions, roles and groups, an audit trail, SAML 2.0 SSO and SCIM 2.0; secrets encrypted at rest per project.
Run the same stack on your own box with one Docker Compose command, or use Kortix Cloud.
The README shows team coworking, Slack/Teams agents, background coding agents and Zapier-style automations.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/kortix-ai/suna.git
cd sunaThe README quickstart installs the CLI and scaffolds a project with kortix.yaml.
kortix init # after installing the CLI per the README quickstartShip to Kortix Cloud, or start the self-hosted Docker Compose stack on your own machine.
kortix ship
# self-host instead: kortix self-host startIt is maintained by Kortix AI (kortix-ai) on GitHub; the project was previously known as Suna.
The project is open source (check the LICENSE file in the repo for exact terms; GitHub lists it as NOASSERTION). Kortix Cloud hosting is a separate managed service.
You connect your own model and integration credentials during setup; agent runs consume your providers' usage.
Compared with single-agent frameworks, Kortix is an organizational layer - many agents, shared memory and governance as a git repo - closer to an AI OS than a library.
Install the CLI, run kortix init in a new repo, then kortix ship (or kortix self-host start) and open your first session.
A memory operating system for long-term, personalized AI agents.
A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
See what your AI agents do — at the system level.
Skills and plugins that teach coding agents to write less, better code.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если suna 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 suna — продолжайте изучать полку по обе стороны от него.
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
Tongyi Deep Research - Alibaba's open-source deep research agent and 30B model
The veteran open-source framework for conversational AI that you host.
NVIDIA's security scanner for AI agent skills - check before you install
A self-improving agent for coding workflows and long-running autonomous tasks
Devika - the open-source agentic software engineer that plans, browses and writes code
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.