--- title: "suna" type: "tool" slug: "kortix-ai-suna" canonical_url: "https://www.graphcanon.com/tools/kortix-ai-suna" github_url: "https://github.com/kortix-ai/suna" homepage_url: "https://www.kortix.com" stars: 19924 forks: 3422 primary_language: "TypeScript" license: "Other" categories: ["ai-agents", "developer-tools"] tags: ["llm", "typescript", "ai-agents"] updated_at: "2026-07-07T18:26:58.747497+00:00" --- # suna > The AI command center for your company Kortix provides an integrated platform where AI agents, skills, and integrations coexist as code in a git repository. Users can manage and deploy their AI workforce using version-controlled configurations. ## Facts - Repository: https://github.com/kortix-ai/suna - Homepage: https://www.kortix.com - Stars: 19,924 · Forks: 3,422 · Open issues: 12 · Watchers: 152 - Primary language: TypeScript - License: Other - Last pushed: 2026-07-07T17:27:00+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) - [Developer Tools](/categories/developer-tools.md) ## Tags llm, typescript, ai-agents ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) ## README (excerpt) ```text
Kortix # Kortix **The AI command center for your company** **One repo. One config. A workforce of AI agents that does the real work — and everything is code you own.** [Website](https://kortix.com) · [Documentation](https://kortix.com/docs) · [Cloud](https://kortix.com) · [Manifesto](MANIFESTO.md)
The Kortix command center
--- ## Quickstart Three commands. Build your company like a codebase, then bring it live. ```bash # 1 · Install the CLI curl -fsSL https://kortix.com/install | bash # 2 · Scaffold a project — creates kortix.yaml + your agents, skills and runtime config kortix init # 3 · Ship it — pushes your repo and brings the whole thing live in the cloud kortix ship ``` That's the loop. From here: ```bash kortix sessions new --prompt "Summarize this week's commits and open a change request" kortix cr ls # review what an agent proposes — merge to keep it kortix chat # talk to a session's agent from your terminal ``` Prefer zero setup? Sign up at **[kortix.com](https://kortix.com)**, create a project, and start a session — nothing to install. Full command surface: **[CLI reference](https://kortix.com/docs/reference/cli)**. --- ## A company is going to be a git repository Not as a metaphor — literally something you can clone. Inside it: your agents, the skills they've built up, the way the work actually gets done, every fact the company has learned, and the definition of the machines it all runs on. **Versioned. Diffable. Owned outright.** Running on its own around the clock, opening pull requests against itself, getting better at being your company while everyone's asleep. Most AI tools give you a chat box. Kortix gives you a **command center** — one place where your agents, skills, integrations, automations and memory all live, and a workforce of agents that produces real output (decks, reports, code, replies, deployed work), not just chat. It feels as simple as a chat app. Underneath, everything is code you own. ``` project (git repo + kortix.yaml) └─ session ──> isolated cloud sandbox on a branch named after the session └─ agent (OpenCode) works, commits, pushes └─ change request ──> you review & merge ──> main ``` - Every **session** runs in its own disposable Linux sandbox on its own branch — the agent can install, run and break anything; only what it commits survives. - Work reaches `main` only through a **change request** you approve, so the company self-improves one reviewed change at a time. - Run **thousands of agents in parallel** on the same config, each fully isolated, each feeding work back through change requests. --- ## What's in the command center | | | | --- | --- | | **Agents** | Markdown personas with a scoped reach into tools — one per role or task. Installable in a click, able to rewrite themselves. | | **Skills** | Reusable know-how that encodes how your company does a job. Written once, shared into every session. | | **Connectors** | 3,000+ apps in a click — plus MCP, OpenAPI, GraphQL and raw HTTP — brokered server-side through one scoped token. | | **Secrets** | Encrypted, scoped per person and group, injected into sandboxes at runtime, never exposed to the model or logs. | | **Channels** | Slack and chat surfaces — one click stands up a bot that starts sessions where your team already works. | | **Triggers** | Cron and signed webhooks that spawn sessions automatically — every morning, or the instant something happens. | | **Memory** | A living company brain — plain files today, a system that compounds what it learns over time. | Work runs three ways: **on-demand** (ask in chat, get it now), **human-assisted** (the agent works and checks in for the calls that matter), and **automated** (runs on a sc ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/kortix-ai-suna`](/api/graphcanon/tools/kortix-ai-suna) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_