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Kortix

Build, manage, and train autonomous AI agents with Kortix

AI Agent Frameworks

Kortix is a comprehensive platform that lets you create, customize, and deploy AI agents capable of browser automation, file management, data analysis, and system operations—all via visual tools and Docker isolation.

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Overview

Overview

Kortix provides a full‑stack environment for developing autonomous AI agents. Developers and AI teams can use its visual agent builder, backend API (Python/FastAPI) and a React dashboard to design agents that perform web browsing, file handling, data processing, and system administration tasks.

Capabilities & Deployment

The platform ships with Suna, a generalist showcase agent, and supports custom agents tailored to customer service, content creation, DevOps, and more. Agents run in isolated Docker containers, integrate with LLM providers through LiteLLM (Anthropic, OpenAI, etc.), and store state in a Supabase‑backed database. Self‑hosting is straightforward: clone the repo, run setup.py, then start.py.

Who Benefits

Ideal for technical users who need scalable, extensible AI automation without vendor lock‑in. The open‑source Apache‑2.0 license ensures freedom to modify and deploy in any environment.

Highlights

Visual agent builder with drag‑and‑drop workflow design
Docker‑isolated runtime for secure, scalable agent execution
Multi‑LLM integration via LiteLLM (Anthropic, OpenAI, etc.)
Comprehensive toolset: browser automation, file management, system ops

Pros

  • Open‑source Apache‑2.0 license
  • End‑to‑end platform covering development to deployment
  • Extensible tool system and API integrations
  • Docker sandbox ensures security and scalability

Considerations

  • Requires technical expertise to set up and maintain
  • Infrastructure needed for Docker and Supabase services
  • Learning curve for visual builder and workflow orchestration
  • Limited out‑of‑the‑box SaaS offering

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When teams consider Kortix, these hosted platforms usually appear on the same shortlist.

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Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.

Fit guide

Great for

  • AI teams building custom automation agents
  • Enterprises needing self‑hosted, secure AI workflows
  • Researchers prototyping multi‑tool AI agents
  • Developers who want a unified platform for agent lifecycle

Not ideal when

  • Non‑technical users without development resources
  • One‑off scripts that don’t require a full platform
  • Organizations preferring fully managed cloud SaaS only
  • Projects needing native mobile agent deployment

How teams use it

Customer Service Automation

Agent handles tickets, answers FAQs, escalates complex issues, and tracks satisfaction metrics.

Web Data Extraction & Reporting

Agent crawls websites, aggregates data, performs analysis, and generates visual reports automatically.

DevOps Workflow Assistant

Agent executes command‑line tasks, manages deployments, monitors system health, and updates configuration files.

Content Creation Assistant

Agent drafts marketing copy, creates presentations, and schedules publishing across channels.

Tech snapshot

TypeScript59%
Python29%
HTML8%
PLpgSQL3%
CSS1%
Dockerfile1%

Tags

aillmai-agents

Frequently asked questions

What programming languages are used in Kortix?

The backend is Python (FastAPI) and the frontend is built with TypeScript/React.

How do I get started with Kortix?

Clone the repository, run `python setup.py` to complete the wizard, then start the platform with `python start.py`.

Can I integrate my own LLM model?

Yes, Kortix uses LiteLLM, allowing you to connect any supported LLM provider, including custom endpoints.

Is Kortix suitable for production environments?

The platform is designed for self‑hosting with Docker isolation and Supabase storage, making it production‑ready for teams with appropriate infrastructure.

What license does Kortix use?

Kortix is released under the Apache License, Version 2.0.

Project at a glance

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Repo age1 year old
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