# Kortix vs AgenticSeek: an open-source team system or a local personal agent?

> AgenticSeek runs a personal agent entirely on one machine. Kortix is the open-source AI Operating System a team owns as one git repo, and it puts a review gate before anything lands. One is built for a single operator; the other is built for a team.

URL: https://agenticseekalternative.com/kortix-vs-agenticseek

_Head to head_

## Kortix and AgenticSeek, side by side

AgenticSeek's column comes from its own repository; the Kortix column quotes Kortix.

| | Kortix (recommended) | AgenticSeek |
| --- | --- | --- |
| Open source | Yes. Read it, fork it, audit it. | Yes. A community project you can run and change. |
| Designed for | Teams that want agents that do finished work, reviewed by people. | One person on one machine: a private personal assistant. |
| Run it yourself | Self-host is free. Cloud, your VPC, or on-prem. | Yes. It runs entirely on your hardware. |
| Where your setup lives | Files in a git repo you own. | A local config.ini and a working directory on one machine. |
| Choose your models | Any model provider with your own keys. | Local models with Ollama, LM Studio, or llama.cpp; cloud keys optional. |
| How work is reviewed | Work reaches main through a change request a person approves. | No review gate. It writes straight into your working directory. |
| Isolated sandbox per task | One isolated sandbox per session on its own machine and branch. | No. Tasks share your machine and its files. |
| Reach a logged-in site | 3,000+ apps in a click, plus MCP, OpenAPI, GraphQL and raw HTTP. | It drives a local Selenium browser; form filling is experimental. |
| What it costs | Free is $0 with 200 credits per month and 1 project. | Free. You pay for hardware and electricity. |

## What AgenticSeek is good at

AgenticSeek is a voice-enabled personal AI assistant that runs entirely on your own hardware. Its [repository](https://github.com/Fosowl/agenticSeek) describes it as a 100% local alternative to Manus AI: it browses the web, writes and runs code, and plans multi-step tasks while every file, conversation, and search result stays on your machine. There is no cloud dependency and no API bill to plan for. You pay for the electricity.

The project is tuned for local reasoning models. Point it at Ollama, LM Studio, or an OpenAI-compatible server such as llama.cpp, choose a model in `config.ini`, and it routes each request to the agent that fits. The whole setup is one local file such as this:

```ini
[MAIN]
provider_name = ollama
provider_model = deepseek-r1:14b
provider_server_address = 127.0.0.1:11434
[BROWSER]
stealth_mode = True
```

For one person who wants privacy and no recurring cost, that is a strong fit. A 14B model is the practical floor, around 12 GB of VRAM, and the project's own FAQ recommends 70B or larger for advanced work. It is also an early prototype, kept by a small group of contributors, and the README is candid that agent routing and form filling can miss.

## Where a single-operator local agent stops for a team

AgenticSeek answers "which agent should run this task on my machine?" It does not answer "how does a team govern the agents it shares?"

- **Configuration is a local file, not a reviewed repo.** The provider, model, and working directory live in a `config.ini` on one machine. There is no version history, no diff, and no review when a person changes how the agent is set up.
- **There is no review gate.** The agent writes straight into your working directory, "without supervision," as the README puts it. Nothing stages a change for a person to approve before it lands.
- **There are no shared roles or policy.** It is a single-operator tool: one local configuration, no seats, no per-person permissions, no roles or groups, and no audit trail of who let an agent do what.
- **There is no cloud or VPC choice.** Running it locally is the whole point. A team that needs the same agents reachable from Slack, on a schedule, or from a colleague's laptop has no managed path, because everything is tied to the one machine that runs the models.

None of that is a flaw in AgenticSeek. It is built for one person on one computer, and it does that job well.

## What Kortix gives a team instead

Kortix is the open-source AI Operating System. Your agents, their skills, your company memory, and every connector live as files in one git repo you own, and each session runs on its own cloud computer.

Where AgenticSeek keeps one config file on one machine, a Kortix project is a git repo the whole team reads and reviews. Every change to an agent reaches `main` through a change request a person approves, so the configuration has a history and a gate. Work runs in one isolated sandbox per session, on its own branch, so an agent can install and break things and only what it commits survives. Connectors reach 3,000+ apps in a click, plus MCP, OpenAPI, GraphQL and raw HTTP, with credentials brokered server-side. Connector policies and approval gates let a team set allow, ask, or block for each action. You choose where it runs. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free. Any model provider with your own keys.

AgenticSeek is a personal agent for one operator. Kortix is the layer a team runs its agents on: one owned system that gets reviewed as it changes.

## When each is the right pick

Choose AgenticSeek when one person wants a private assistant on their own hardware and can supply the GPU. It is the right tool for local coding, research, and personal automation where data must never leave the machine and there is no recurring bill to justify.

Choose Kortix when more than one person or more than one machine is involved, when a change to an agent needs review before it ships, or when the same agents have to run in Slack, on a schedule, or across a team's tools. Those are the cases a single-operator local tool leaves uncovered.

You can run both. Kortix is open source and self-host is free, so a security-minded team can stand it up on its own network and widen its use from there.

_FAQ_

## Questions about Kortix and AgenticSeek

### Is AgenticSeek a good alternative to Kortix?

They solve different problems. AgenticSeek is a private personal agent that runs on your own hardware. Kortix is the open-source AI Operating System a team owns, with a review gate before work lands. For one person on one machine, AgenticSeek is a strong choice. For a team that shares the work, Kortix is built for that.

### Can a team run AgenticSeek?

You can put it on a shared server and point people at it, but it is built for a single operator: one local configuration, no seats or roles, and no review gate. It also has no managed cloud or VPC option, so everything stays tied to the machine that runs the models.

### Can Kortix use local models the way AgenticSeek does?

Kortix is model-agnostic: any model provider with your own keys. Or the ChatGPT plan you already pay for. Or sign in with your OpenCode Console account for OpenCode Zen and Go.

### What does Kortix cost to start?

Free is $0 with 200 credits per month and 1 project. The team plan is $40 per seat per month with 2,500 credits per month per seat, pooled. Self-host is free.

## Give the team agents it owns and reviews.

One git repo, one sandbox per session, a person approving what lands.

[Try Kortix](https://kortix.com) · [Read the docs](https://kortix.com/docs)

Open source · Any model, your keys · Self-host, VPC, or on-prem