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

AgenticSeek is a strong local personal agent for one operator; Kortix is the open-source system a team runs instead, with your agents, skills, memory and connectors in one git repo you own. Both put an agent to work on a real machine. The difference shows up the moment more than one person has to share it or review what it produces.

What AgenticSeek is good at

AgenticSeek is a voice-enabled personal assistant that runs entirely on your own hardware, and its repository 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 (AgenticSeek).

• Nothing leaves the machine. Speech-to-text, the reasoning model and text-to-speech all run locally, so no request crosses a network the operator does not control.
• It browses and codes on its own. The agent searches, reads pages, extracts information, and writes, debugs and runs programs in Python, C, Go, Java and more.
• It is tuned for local reasoning models. Point it at Ollama, LM Studio, or an OpenAI-compatible server such as llama.cpp, and it routes each request to the agent that fits.
• One local file configures it. Provider, model, working directory and browser behavior are keys in a single config.ini:

[MAIN]
provider_name = ollama
provider_model = deepseek-r1:14b
[BROWSER]
stealth_mode = True

• It costs only the electricity. With a local provider there is no API bill and no seat to buy.

The project is candid about the floor. Its own hardware guidance puts a 14B model at around 12 GB of VRAM and calls it usable for simple tasks, then recommends 70B or larger for advanced work (AgenticSeek). It is an early prototype with no roadmap and no funding, kept by a small group of maintainers. The browser drives a local Selenium Chrome session and form filling is still experimental.

Where a local agent stops for a team

AgenticSeek answers which agent should run this task on my machine. It does not answer how a team governs the agents it shares. Four parts of a shared system stay out of reach.

• Configuration is a local file. The provider, model and working directory live in one config.ini on one machine. There is no version history, no diff, and no review when someone changes how the agent is set up.
• There is no review gate. The agent writes into your working directory "without supervision," as the repository puts it, and nothing stages a change for a person to approve before it counts (AgenticSeek).
• 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 team-scale hosting choice. Running locally is the whole point. There is no managed cloud or VPC path, so the agents stay tied to the one machine that runs the models.

None of those are flaws 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 every session runs on its own cloud computer (Kortix docs). The four parts AgenticSeek leaves open are the parts Kortix is built around.

Where AgenticSeek keeps one file on one machine, a Kortix project is a git repo the whole team reads and reviews. A slice of the configuration:

# kortix.yaml
agents:
  competitor-scan:
    file: agents/competitor-scan.md
    connectors: [slack, notion]

• One repo is the company. Agents and skills are Markdown, memory is files, and connectors and triggers are declared in kortix.yaml, so the whole system is text a person reads and an agent edits.
• A gate every time. Session work reaches main through a change request. Merge is default-deny for agents, so a person reviews the diff before it lands.
• Isolation per session. One isolated sandbox per session. Each session has its own isolated machine and branch, so an agent can install and break things and only what it commits survives.
• Roles, policy and audit. Per-resource permissions for people and agents. Roles, groups, and an audit trail. Approval gates you set, off until you set them.
• Any model, your keys. 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.
• Choose where it runs. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free.
• Reach and governance. Connect 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP. Connector credentials are brokered server-side and never enter the machine.

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 (Kortix pricing, checked October 2026).

Where AgenticSeek is the better pick

AgenticSeek wins on privacy and on the bill. When data must never leave one machine, a fully local agent is the stronger answer: speech, reasoning and output run on the operator's hardware, and no session reaches a network the company does not control (AgenticSeek). For one person who already has the GPU, the recurring cost is electricity, with no seat and no credit pool to manage. That is a real advantage over a cloud system, and it is the reason to choose AgenticSeek for a single operator.

Side by side

When to pick which

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.

A security-minded team can run both: Kortix is open source and self-host is free, so you can stand it up on your own network and widen its use from there (Kortix on GitHub).

For the wider field, read personal agents versus a company system and the open-source Manus alternatives roundup. To see the same question against a hosted agent, read Kortix vs Manus.

Kortix is free to start and free to self-host, so a team can keep its agents, skills and memory in one repo it owns. Get started with Kortix.