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suna

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Basic Information

Kortix is an open source platform designed to build, manage, and train autonomous AI agents. The repository provides a complete stack that demonstrates how to create generalist and specialized agents, with Suna included as the flagship generalist AI worker. Kortix targets developers and teams who want a self-hostable solution for agent orchestration, runtime isolation, and lifecycle management. It bundles an automated setup wizard to install and configure the platform, and offers tools for deploying agents that can perform research, browser automation, file handling, data processing, and system operations. The project includes frontend and backend components, a Docker-based agent runtime, and a Supabase data layer to persist configurations, conversations, and files. The README emphasizes extensibility, integrations with multiple LLM providers, and a visual agent builder for customizing agent behavior.

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17436
App URL
https://github.com/kortix-ai/suna
Github Repository
https://github.com/kortix-ai/suna/blob/main/README.md

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App Details

Features
The README lists a comprehensive set of platform capabilities implemented across multiple components. Core features include browser automation to navigate and scrape websites, file and document creation and conversion, web intelligence for crawling and search, and system operations such as safe command execution and DevOps automation. The backend is a Python FastAPI service with agent orchestration, thread management, and LLM integrations including Anthropic, OpenAI, OpenRouter and LiteLLM. The frontend is a Next.js/React dashboard for chat interfaces, agent configuration, workflow builders and monitoring. The agent runtime uses isolated Docker environments with sandboxing and integrated tools. Storage and auth rely on Supabase for conversation history, file storage and real-time subscriptions. Additional pieces include workflow management, API integrations, background job processing, and an automated setup wizard.
Use Cases
Kortix helps teams and developers accelerate building production-ready AI agents by providing an integrated, self-hostable platform with UX and infrastructure already wired together. It reduces setup friction via an automated 14-step setup wizard and provides a guided quick start to run the platform locally or on private infrastructure. The platform centralizes agent configuration, tool integration, and monitoring so agents can be customized for customer support, content generation, sales workflows, research, industry-specific tasks, data analysis, and system administration. Docker-based runtimes and Supabase storage enable scalable and auditable deployments while FastAPI endpoints and a visual agent builder make it easier to extend agents or integrate external services. The project also documents self-hosting, contribution guidelines, and an Apache 2.0 license to support adoption and collaboration.

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