Are there discounts for students or education institutions?

Yes. Write to us at hello@lobehub.com and we will get back to you as soon as possible. We will provide a 50% discount code for eligible applicants. You must sent with your school or education institution email address, and you have to provide a valid proof of your student or education institution status.

LobeHubOpen-source platform for building and managing custom AI assistants and agents

4.6 (5)

Reviewed by Daniel Nikulshyn·Updated May 2026

Open Source Self-Hosted AI Agents Developer Tools Multi-Model Plugins Marketplace

Overview

LobeHub is an open-source framework that lets developers and power users create, customize, and orchestrate AI assistants across multiple use cases. It provides a flexible interface for connecting to various large language models and configuring agents tailored to specific workflows. The platform emphasizes extensibility, allowing users to install plugins, share assistant configurations, and adapt the system to personal or team needs. Its community-driven ecosystem includes a marketplace of pre-built agents that can be deployed or modified. Because it is self-hostable and open-source, LobeHub appeals to users who want control over their data, model choices, and deployment environment without being locked into a single vendor.

Key features

Custom AI agent creation
Multi-model provider support
Plugin and extension ecosystem
Shareable assistant marketplace
Self-hosted deployment option
Conversation and prompt management

Pricing

Model: Freemium
Category: AI Agents
Rating: 4.6 / 5 (5)

Use cases

Build Custom AI Assistants for Team Workflows

Developers can create and configure specialized AI agents tailored to internal workflows, connecting them to preferred LLM providers and extending capabilities with plugins.

Self-Host AI for Data Privacy Control

Organizations concerned about data sovereignty can deploy LobeHub on their own infrastructure, maintaining full control over conversations, model choices, and deployment environment.

Discover and Share Pre-Built Agents

Users can browse the community marketplace to deploy ready-made assistants for various tasks, or publish their own configurations to share with others.

Experiment Across Multiple LLM Providers

Power users can test and compare responses from different large language models within a single interface, switching providers based on cost, quality, or use case.

Pros & Cons

Pros

Open-source and self-hostable
Supports multiple LLM providers
Active community and agent marketplace
Highly customizable assistants
Plugin system for extended functionality

Cons

Requires technical setup for self-hosting
Quality of community agents varies
Learning curve for advanced configuration

Reviews

4.6

Average from 5 ratings.

Carlos Mendoza

Sep 22, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: self-hosted deployment option and open-source and self-hostable. Where it lags: learning curve for advanced configuration. On balance the feature set — especially conversation and prompt management — justifies the 4 stars for our use case.

Kwame Mensah

Sep 15, 2025

Solid for our team

We rolled this out across the team last quarter and supports multiple LLM providers. Multi-model provider support fits neatly into how we already work, and multi-model provider support removed a step we used to do by hand. Requires technical setup for self-hosting, which is the main caveat, but it has held up under daily use.

Priya Nair

Aug 14, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on custom AI agent creation, and plugin system for extended functionality caught me off guard. still, I'd recommend giving it a real trial.

Rina Desai

Jul 23, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: self-hosted deployment option and plugin system for extended functionality. Where it lags: quality of community agents varies. On balance the feature set — especially multi-model provider support — justifies the 5 stars for our use case.

Wei Chen

Jun 6, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is multi-model provider support — handled better than most — and open-source and self-hostable. Requires technical setup for self-hosting is my one real gripe. Worth the time if this is your use case.

Q&A

Can LobeHub be used for free?

LobeHub always adheres to the open-source concept. For professional developers, you can use all open-source capabilities through self-deploying the community edition. In the LobeHub Cloud version, we provide 500,000 free calculating credits for all registered users every month, ready to use without complex configurations. If you need more usage, you can subscribe to Starter, Premium, or Ultimate.

Asked by Jovana Petrovic · Jun 24, 2026

What are calculating credits?

Calculating credits is a metric used to measure the usage of AI models when LobeHub Cloud. The credit consumption varies for different AI models.

Asked by Fatima Zahra · Jun 8, 2026

What to do if calculating credits are insufficient?

The LobeHub Cloud subscription plans are divided into Starter, Premium, and Ultimate, each providing different amounts of calculating credits. If the current plan's calculating credits are insufficient, we recommend considering upgrading the plan. Additionally, you can set up custom model API keys to use API usage purchased from other channels.

Asked by Boris Yankov · Jun 6, 2026

How to change or cancel a subscription plan?

On the Subscribe page, you can 'upgrade/downgrade' the current subscription plan and switch between annual or monthly billing. By clicking 'Usage Statistics-Manage Subscription', you can go to Stripe for subscription management and cancel the current subscription at any time. After unsubscribing, it will automatically downgrade to the free version when the current plan expires.

Asked by Mireille Dupont · Apr 5, 2026

Will the points be reset monthly?

Yes, the points will be reset monthly. After purchasing a subscription, points will be added immediately upon upgrade and will increase monthly. The points will reset at the end of each billing cycle.

Asked by Wolfgang Krause · Mar 30, 2026