Eigent keeps work on your machine and binds secrets locally. Kortix is the open-source AI Operating System, running each session on its own isolated cloud computer with secrets encrypted per project. The two answers differ in where the data, the files and the model keys actually live.
The five questions a security reviewer asks, answered for both.
Is Eigent private? On its own pages, yes in the narrow sense that Eigent runs on your machine, and its product page says your files, credentials and context stay under your control. Eigent is a local-first desktop Cowork app whose page lists local execution and self-hosted deployment, with secrets bound locally (eigent.ai). Its repository goes further, describing a local deployment with "complete isolation from cloud services" and a local backend server (eigent-ai/eigent). For one person on one desktop, the privacy story is simple.
A privacy review for a team is a different exercise. The review does not stop at the machine in front of you. It asks where every run happens, where the credentials sit, where the files and the memory accumulate, who can inspect a run after it finishes, and which deployment the team controls. Those five questions apply to any agent tool, so it is worth answering them for Eigent and for Kortix side by side.
Eigent is built on local-first execution, and its own pages say so. The product page describes local execution and self-hosted deployment, and it says each setup keeps secrets bound locally (eigent.ai). The repository documents a local deployment with a local backend server and local model integration through vLLM, Ollama or LM Studio, and calls it "complete isolation from cloud services" (eigent-ai/eigent).
On compliance, Eigent states its own status plainly: "SOC 2 readiness and GDPR compliance work remain in progress" (checked October 2026, eigent.ai). For a reviewer, that is the current state rather than a finished certification.
The shape of the Eigent answer is local by default. The agent runs on a machine the team already owns, the keys stay with that machine, the files stay local, and the review happens on that desktop. A self-hosted or enterprise deployment moves the same pieces behind the team's own infrastructure.
Kortix keeps the pieces in places a reviewer can name. Each session runs on its own isolated cloud computer, and each session has its own isolated machine and branch. A secret is encrypted at rest with a key per project. Connector credentials are brokered server-side and never enter the machine. Every action is recorded. Reading, exporting and streaming the audit log depend on the plan.
The mechanism behind those lines is documented. Environment is the default exposure for a secret, and egress-enforced is experimental: the sandbox holds a handle, and Kortix substitutes the real value outside the sandbox only on approved HTTPS hosts. Connector credentials are brokered server-side and never enter the machine.
On compliance, Kortix states its own status. SOC 2 Type I is held, SOC 2 Type II is in progress, and GDPR is a posture the company runs rather than a certificate. Deployment can be Kortix Cloud, the customer's own VPC, or an on-prem network, and self-host is free.
Eigent gives privacy by staying on one machine. Kortix gives the same control across a team by keeping the configuration in a repo the team owns and each run on its own isolated computer. A desktop setup suits one person, and an operating system you own answers the review when it has to cover everybody.
For the head-to-head, read Kortix vs Eigent. For the deployment question, see self-hosting an Eigent alternative, and for the wider field, Eigent alternatives. To put the two side by side on your own terms, Try Kortix.
1$ kortix secrets set STRIPE_API_KEY=sk_live_...2kortix secrets set PAYROLL_TOKEN=... --only-me3kortix secrets set ACME_API_KEY=... --scope connectorEach secret carries an audience and an exposure, and a connector credential stays server-side.