Open-source Manus alternatives: the agent platform your team can own

Manus is a hosted, general-purpose AI agent that runs tasks in Manus's own cloud, and it is not open source. A team that searches for a Manus alternative is really asking what it will own after the trial. That question separates a hosted product from the open-source platforms weighed here, and it is where Kortix, the open-source AI Operating System, fits.

What Manus is

Manus is a hosted AI agent from Manus AI that takes a goal in natural language and executes it, planning the steps, navigating, clicking and returning a finished artifact. The product spans a browser operator that drives the tabs you are already logged into, Wide Research that splits one request across many sub-agents, and generation for slides, websites, video, design, images and music (Manus).

Everything runs in Manus's cloud, on a model Manus selects. You sign in, spend credits and collect the output in the app. The browser operator installs as a Chrome extension, and the work still runs through Manus. No self-host path is published (Manus browser operator).

Manus sells on credits. Individual plans differ by monthly credit allowance and concurrency, and the Team tier adds a shared credit pool, an admin dashboard, SSO and audit logs, billed per seat (Manus pricing, Manus team). Manus states it does not train on Team and Enterprise data (Manus team).

What it does well:

• It executes instead of answering. A multi-step goal is planned and completed across sites, and the browser operator reuses your existing logins (Manus browser operator).
• Wide Research scales one prompt. The main agent breaks a task into hundreds of sub-tasks, each on its own VM with fresh context, then synthesizes the report (Wide Research).
• It ships finished output. Slides, websites, video, images and charts come out of the same product (Manus).
• It is wired for a team. Credits pool across members, an admin dashboard tracks usage, and SSO and audit logs are listed (Manus team).
• There is nothing to run. Hosted and ready on day one, with desktop and mobile apps and a Slack integration.

The trade-off is ownership. Your prompts, the tasks, the credit pool and the model choice sit on Manus's side, and there is no repo you clone and no self-host option; the model is not yours to swap. For one person that is a reasonable deal; for a company that wants its agents, memory and connectors to be assets it owns, it is the decision to weigh.

The open-source field side by side

The alternatives teams weigh against Manus are several kinds of product: a coding-agent harness, a desktop app, a personal agent, a chat platform and a workflow engine. These platforms separate on the licence, whether you can run them yourself, and how a change gets reviewed before it counts. Kortix comes first because it is the one built to be owned end to end.

When Manus is the right call

Manus is the right pick when you want a capable hosted agent and no setup. If you are one person or a small team delegating research, a slide deck, a website or a browsing task, and you do not need to run or audit the agent yourself, the credit model and the polish are worth the price (Manus pricing). The browser operator reaches sites behind a login without an integration, and nothing asks you to run a server. For finished output and no infrastructure to run, Manus is a strong product.

When a team outgrows Manus

What a team cannot keep is where Manus stops fitting. Four parts of the system stay on Manus's side of the wall.

• Your configuration is not a file. How the agent works lives in Manus's product, not in a repo your team reads, diffs and rolls back.
• The model is not yours to swap. Manus selects the model, so the day a better one lands you wait for Manus to adopt it.
• There is no review gate. Work arrives as output in the app, and nothing proposes a change for a second person to approve before it counts.
• The infrastructure is theirs. There is no version of Manus you run in your own VPC or on-prem network.

These are the boundaries of a hosted product, and they surface the moment the work belongs to a team instead of one person.

What Kortix gives a team instead

Kortix keeps those four parts on your side. Your agents, their skills, your company memory and every connector live as files in one git repo you own, and every session gets its own isolated sandbox and branch. A slice of the configuration:

# kortix.yaml
agents:
  research-brief:
    file: agents/research-brief.md
    connectors: [slack, notion]
triggers:
  - slug: weekly-scan
    type: cron
    cron: '0 8 * * 1'
    prompt: Run the weekly competitor scan and open a change request.

• 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 (Kortix docs).
• A sandbox and a branch per session. One isolated sandbox per session. Each session has its own isolated machine and branch, and thousands run in parallel on one config.
• A gate every time. Session work reaches main through a change request. Merge is default-deny for agents, so a person reads the diff before it lands.
• Any model, your keys. Any model provider with your own keys, or the ChatGPT plan you already pay for, chosen per agent, per session or per message.
• 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. Kortix connects 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP, with per-resource permissions for people and agents, roles, groups and an audit trail.
• What it costs. Free includes 200 credits each month for sandbox compute 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).

Which platform to pick by what you need to own

Start with the thing your team cannot give up, then pick the platform that keeps it on your side.

• Kortix when you want the whole system in a repo your team owns: shared agents, skills, memory and connector rules, a sandbox per session, and every change reviewed before it reaches main. It is the pick for a company that treats its agents as infrastructure it owns.
• OpenHands when the work is code. It is an MIT-licensed harness for coding agents that runs on a laptop, in Docker, on a VM or in your cloud, and an automation resolves an issue by opening a pull request (OpenHands on GitHub, issue to pull request).
• OpenWork when you want a free desktop agent on your own files, and the team control plane can wait. The desktop app and core are MIT, while the OpenWork Den control plane is under the OpenWork EE License (OpenWork on GitHub).
• Hermes when you want one self-improving agent on your own server, reached from the chat apps you already use. It is MIT-licensed and remembers across sessions (Hermes on GitHub).
• Open WebUI when the work lives in conversation with your own models. It runs offline against Ollama or any OpenAI-compatible API under the Open WebUI License (Open WebUI on GitHub).
• n8n when the job is a fixed workflow on a schedule and a node already exists for each system. It is fair-code under the Sustainable Use License and the n8n Enterprise License (n8n on GitHub).

The review gate is the line that settles most of these choices. A hosted agent and a chat platform hand back an answer. A coding harness and Kortix both put a change in front of a reviewer, but Kortix reviews work from every department, not only code, and every change reaches main through one change request a person approves. When your work needs that review, the open-source platform you pick has to be able to run it.

For the wider choice, read how to pick an open-source AI agent platform and personal agents versus a company system.

Own the whole agent workforce instead of renting one. Kortix is free to start and free to self-host. Get started with Kortix.