Open-source Lindy alternative: rent a hosted worker, or own the system?

Most teams searching for an open-source Lindy alternative already like Lindy. The hosted worker is quick to start, and the real question arrives once the free credits run out: what does a team own if it stops paying? Kortix is the open-source AI Operating System, and this is the rent-versus-own choice for an AI worker, worked through on what Lindy is, what the hosted credit model gives you, and where an owned system fits.

What Lindy is

Lindy is a hosted AI worker that runs in Lindy's cloud and connects to the apps a team already uses, so a request in Slack or an email comes back as finished work (Lindy). Lindy is not a system you install. The product lives entirely on Lindy's side, with no self-host, no source to read and nothing that runs on your own infrastructure. For a team that wants an assistant reachable where people already work, that is the whole point.

The hosted model is convenient, and its strengths are worth stating plainly.

• A free start with no card. New workspaces get $50 in credits that last 7 days, so a team can put the worker on a real job before paying anything (Lindy pricing).
• One pooled balance. Paid team plans start at $29.99 per user per month for 3,000 credits, and every seat adds its credits to a shared pool the whole workspace draws on (Lindy pricing, checked October 2026).
• Top-ups when you need them. Admins add credits at $10 per 1,000, and Lindy pauses credit-using work instead of running up a surprise bill (Lindy pricing).
• Approval on outside actions. Sending email, updating a ticket, posting to another channel or publishing a doc waits for approval, and read-only lookups do not (Lindy pricing).
• Managed models and a security posture. Most major models are available per task, data is encrypted and never used to train models, and Lindy is SOC 2 and GDPR compliant, with SSO, audit logs and HIPAA added on Enterprise (Lindy pricing).

Fast setup and pooled credits are the appeal of a hosted worker, and they are also what makes it a rental.

What a team does not keep

Everything that makes Lindy work is something a team rents rather than owns, and the gap shows the moment the billing changes.

• Your configuration lives in their product. Skills, connected accounts and the memory the worker builds up sit inside Lindy. Lindy does expose a memory folder you can read and edit, and it still lives on Lindy's side, not in a repo your team versions and rolls back.
• The model is Lindy's to choose. You pick a model for a task where one is offered, and Lindy decides which models are available (Lindy pricing).
• Stop paying, and the worker stops. The workspace stays active through the cycle you paid for, and then credit-using actions stop (Lindy pricing).
• There is nothing to self-host or fork. Lindy runs only in Lindy's cloud, so there is no version a team runs in its own VPC or on its own network, and no source to audit.

None of this is a flaw in the product Lindy set out to build. It is what a hosted worker is.

Side by side

What an owned system gives instead

Kortix is open source: your agents, their skills, your company memory and every connector live in one git repo you own, and every session runs on its own cloud computer (Kortix docs). You can read the code, fork it and audit it, and you can run it on Kortix Cloud, in your own VPC or on your own network, with self-hosting free.

The parts a team keeps are the parts it writes down. Agents and skills are Markdown, memory is files, and the connectors, triggers and rules sit beside them in kortix.yaml. Each session gets its own isolated sandbox and branch, and thousands run in parallel on one config. Session work reaches main only through a change request a person reviews, because merge is default-deny for agents.

# kortix.yaml
agents:
  support-triage:
    file: agents/support-triage.md
    connectors: [slack, zendesk]
triggers:
  - slug: morning-triage
    type: cron
    cron: '0 8 * * 1-5'
    prompt: Triage the overnight support queue and open a change request with the digest.

Kortix reaches 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP, and connector credentials are brokered server-side so they never enter the machine. Per-resource permissions cover people and agents, and every action is recorded. Any model provider works with your own keys, or the ChatGPT plan you already pay for, chosen per agent, per session or per message.

On cost, Kortix Free is $0 with 200 credits a month and one project, and the team plan is $40 per seat per month with 2,500 pooled credits per seat, on a system the team already owns (Kortix pricing, checked October 2026). The full capability list is at Kortix on GitHub.

Other open-source options

Kortix is the recommendation when a team wants the whole system in one place it owns, and it is not the only open-source answer to a hosted worker. Activepieces is an open-source automation and agent platform whose pieces are MIT-licensed and which runs on your own servers as well as its cloud (Activepieces). Activepieces fits work that is a set of defined flows with approval steps, reaching the apps those flows touch. Where the job is open-ended work whose steps you cannot list in advance, and the setup, the memory and the review gate need to stay in a repo you own, Kortix is the one built for that.

When to rent and when to own

Rent a hosted worker like Lindy when you want zero setup and you are comfortable renting the system. If a small team needs work finished this week, the free week and the pooled credits remove most of the friction, and approvals cover the actions that touch the outside world. That trade is fair when the worker is a convenience rather than company infrastructure.

Own a system when the setup, the data and the operations have to stay yours. A team that needs its agents, skills, memory and connector rules in one repo it can version and audit, its own models and keys, and infrastructure it controls on its own network is not looking for a better rental. Kortix is that system, and it is open source.

More from the blog: open-source Manus alternatives and Kortix vs Perplexity Computer.

Kortix is free to start and free to self-host, and it keeps the whole system in a repo your team owns. Read the code, run the first session on your own machine or in the cloud, and see where an owned system fits: Get started with Kortix.