TaskingAI Hosting Live In 5 Minutes

Deploy TaskingAI on xCloud and get TaskingAI hosting for an LLM agent platform on your own domain. xCloud runs the full pinned stack, with the console, two backend instances, inference and plugin services, PostgreSQL with pgvector and a password-protected Redis cache behind an nginx router, generates the admin password and encryption keys, and publishes it over HTTPS with persistent volumes.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

What is TaskingAI?

TaskingAI is a Backend-as-a-Service platform for LLM-based agent development and deployment, and a self-hosted TaskingAI gives you a web console and a REST API for it. Upstream lists unified access to hundreds of models, tools and plugins, a retrieval-augmented generation system, local models through Ollama and LM Studio, and a workflow that separates AI logic on the server from the product on the client. It is an alternative to a hosted service such as the OpenAI Assistants API.

On xCloud the install runs the TaskingAI v0.3.0 stack: console, two instances of the backend server, inference and plugin services, PostgreSQL with pgvector and a Redis cache, all pinned by digest, behind an nginx router. Three volumes hold taskingai_db, taskingai_data and the Redis cache. xCloud generates the admin password and an AES key that encrypts stored provider keys, so upstream's public defaults are never used.

From Sign-Up to a Live Agent Console In Just 3 Easy Steps

A TaskingAI stack normally means a console, several backend services, a vector-capable database, a cache, a router, generated secrets, a domain and a certificate before the first assistant. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account and pick TaskingAI from the OneClick catalog. Choose your domain and target server — there are no extra fields to fill in.

  2. Step 02

    We Deploy It For You

    One click. We bring up the official TaskingAI console, two backend instances, inference and plugin services, a private PostgreSQL database with pgvector and a password-protected Redis cache behind an nginx router, mount the taskingai_db, taskingai_data and taskingai_redis volumes, generate the admin password and keys, and publish it over HTTPS on your domain.

  3. Step 03

    Add A Model And Build

    Allow two to three minutes for the first start, then sign in as admin with the password on the credentials card. Add a model provider and its API key under Models, create an assistant, and create API keys to call the REST API at /v1 on your domain.

Everything TaskingAI Does, On Your Own Server

TaskingAI runs in full here: the console, the REST API and the services behind them, on a server and database you own.

  • A Console For Assistants

    Configure model providers, assistants, retrieval collections and tools from one web console.

  • A REST API At /v1

    Use your assistants from your own applications through the public REST API, authenticated with API keys you create in the console.

  • Retrieval Collections

    Store records for retrieval in PostgreSQL with pgvector, which holds the data and the retrieval embeddings.

  • Tool Plugins

    A dedicated plugin service runs the tools your assistants can call.

  • Provider Keys Stored Encrypted

    Model provider keys are encrypted in the database with a generated AES key, so upstream's public default keys are never used.

  • Streaming Kept Unbuffered

    The nginx router sends streaming responses through unbuffered, so assistant replies arrive as they are generated.

Everything You Need To Run Your LLM Agent Platform 24/7

Managed hosting for TaskingAI, so the parts that keep it online are not your problem.

  • TaskingAI v0.3.0 deployed instantly
  • Official images pinned by digest
  • Admin password and keys generated for you
  • Private PostgreSQL and Redis
  • Free SSL certificate
  • Server backups and snapshots
  • Server security updates included
  • Choose your server region
  • Unused balance refunded

What You Can Do With TaskingAI

  • Build assistants on your own retrieval data

    Create assistants backed by retrieval collections stored in your own PostgreSQL database instead of a hosted service.

  • Keep provider keys on your own server

    Store model provider API keys encrypted on a server you control and let your applications call assistants through your own REST API.

  • Give assistants tools

    Attach tools through the plugin service and try them in the console before wiring them into a product.

  • Prototype before committing

    Stand up a console and an API on your own domain to test assistants and retrieval before settling on a design.

TaskingAI vs Alternatives

OpenAI Assistants API
The OpenAI Assistants API is a hosted assistants service from a single provider. TaskingAI runs on your own server and uses whichever model providers you configure, with data in your own PostgreSQL.
AnythingLLM
In a TaskingAI vs AnythingLLM comparison, AnythingLLM has its own OneClick page. It is a self-hosted workspace for chatting with your documents, where TaskingAI is aimed at building assistants and exposing them through an API.
n8n
n8n has its own OneClick page. It is a workflow automation tool with AI nodes, where TaskingAI focuses on assistants, retrieval collections and tools behind a REST API.
LangChain
LangChain is a code library for composing LLM applications. TaskingAI is a running platform with a console and a REST API, so you configure assistants instead of writing the orchestration code.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for TaskingAI hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Most popular

A private agent console and API for one team.

$24.99per month

  • 6 GB RAM
  • 4 vCPU cores
  • 100 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 16 GB

More headroom if TaskingAI sits alongside other AI and automation tools.

$59.99per month

  • 16 GB RAM
  • 6 vCPU cores
  • 200 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. TaskingAI itself is licensed by its maintainers under Apache-2.0.

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy TaskingAI on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

Free

Start your journey without cost.

$0forever

  • 1 server
  • 10 sites
Start free

Starter

Most popular

Your rate with 2–5 servers connected.

$5per server / month

  • 2–5 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Professional

The same platform, discounted at 6–10 servers.

$4per server / month

  • 6–10 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Agency

The same platform, discounted at 11+ servers.

$3per server / month

  • 11+ servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Ready To Run Your Own Agent Platform?

TaskingAI on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Hear what people are saying about us

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can you self-host TaskingAI with Docker?

Yes, and this template is TaskingAI Docker hosting without the setup. Upstream is built to deploy in containers; here xCloud runs the pinned console, two backend servers, inference and plugin services, pgvector and Redis, with generated keys and one HTTPS router.

How much RAM does TaskingAI need?

The template asks for 2 CPU cores, 1024 MB of RAM and 10 GB of disk, but the idle stack measured about 670 MB across eight containers, four of them Python services. The 6 GB plan is the entry rung, with headroom for embeddings and tool calls.

How do I sign in to TaskingAI?

Open your HTTPS domain and sign in as admin with the password on the credentials card. There is no signup page, and the admin account is the only login. First start takes two to three minutes while migrations run and the catalogues sync.

Do I need my own model provider account for TaskingAI?

Yes. Add a provider and its API key under Models in the console. Upstream lists OpenAI, Anthropic and local hosts through Ollama and LM Studio. Usage is billed by that provider to your account, not by xCloud.

Who can use my stored provider keys in TaskingAI?

Anyone who signs in as admin can use them and read your assistants and data, so keep the admin password private. The REST API requires an API key you create in the console. For an extra gate, configure Basic Auth at your reverse proxy.

Can I change the TaskingAI admin password in the environment?

No. The admin username and password are read only on the first start, when the account is created, so editing DEFAULT_ADMIN_PASSWORD later does not change the login. Never change AES_ENCRYPTION_KEY after install, or stored provider keys become unreadable.

What should I back up on a TaskingAI server?

Back up the taskingai_db volume, which holds PostgreSQL data, and the taskingai_data volume, which holds uploaded files and images, together. Keep the AES_ENCRYPTION_KEY value with the backup, because without it the stored provider credentials cannot be decrypted.

How do I upgrade TaskingAI?

The v0.3.0 images stay pinned until you adopt a newer template version. Take a coordinated backup of both volumes first and read the upstream release notes. Existing sites are not upgraded automatically, and the encryption key must stay unchanged.

Is TaskingAI free?

Yes. TaskingAI is open source under the Apache-2.0 licence, per the LICENSE file at the v0.3.0 tag, so the software has no licence fee. Your costs are the dedicated Cloud VPS and your own model provider usage, which xCloud does not bill.

How large can uploads be in TaskingAI?

The app accepts files up to 15 MB for retrieval records and 5 MB for message images, and the router allows request bodies up to 20 MB. Split larger documents before adding them to a retrieval collection.

Is there a TaskingAI cloud service?

This template runs the self-hosted TaskingAI community edition from the open-source repository. Your stack runs on a Cloud VPS that xCloud prepares, with assistants, embeddings and encrypted provider keys on volumes you own, and model usage billed by the providers you configure.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

Ready to Run Your Own Agent Platform?

Connect your first server in minutes. No plan you have to grow into.