A bring-your-own-key AI chat workspace with model switching, saved prompts, project folders, and document conversations.
Best for: TypingMind suits people who want one interface for several model-provider accounts.
Chatbots & Assistants
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Free plan + paidInformation reviewed 2026-10-15
LobeHub
About this listing
Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.
Official sourceBuild a shared AI workspace with model conversations, reusable agents, project context, and scheduled tasks.
Best suited to
LobeHub suits people organizing several AI tasks around a project rather than keeping isolated chats.
Meet LobeHub
LobeHub suits people organizing several AI tasks around a project rather than keeping isolated chats. The product, formerly LobeChat, now emphasizes agents, shared context and coordination. Model choice remains part of the workflow. Start with a bounded reading task before connecting tools that can change files or act on accounts.
A practical workflow
- Create a project with a clear purpose and permitted source material.
- Choose an agent and model appropriate to one small task.
- Give the agent explicit scope and review points.
- Check its answer against the sources before scheduling repeated work.
Illustrative input
This example describes a task, not a tested output. Adjust the source material and settings to your own situation.
Read the attached project notes and list unresolved decisions with supporting passages. Do not contact anyone or change the source files.
Result check: Confirm each cited decision exists and inspect any requested tool permissions.
Access and alternatives
The hosted Free plan renews a limited monthly credit allowance. Storage and model eligibility are restricted, and advanced agent or team features depend on the plan. Provider-key and self-hosted arrangements have separate model, infrastructure and licensing considerations.
Choose another workflow when its emphasis fits better: TypingMind for a different multi-model workspace; Letta for a developer-oriented stateful agent platform.
What you can do
Multi-model conversations
Agent builder
Agent groups
Project workspaces
Scheduled tasks
Where it helps
- Project context can connect related tasks
- Reusable agents keep recurring instructions together
- Scheduled work can follow a defined review routine
What to consider
- Free credits and storage are limited
- Connected agent actions require careful permission choices
Pricing & free access
Official pricingFree plan + paid
The hosted Free plan renews a limited monthly credit allowance. Storage and model eligibility are restricted, and advanced agent or team features depend on the plan. Provider-key and self-hosted arrangements have separate model, infrastructure and licensing considerations.
Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.
Source for access detailsWeekly AI tool changes in Chatbots & Assistants
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Questions about LobeHub
Who is LobeHub useful for?
LobeHub suits people organizing several AI tasks around a project rather than keeping isolated chats. The product, formerly LobeChat, now emphasizes agents, shared context and coordination. Model choice remains part of the workflow. Start with a bounded reading task before connecting tools that can change files or act on accounts.
Does LobeHub have continuing free access?
The hosted Free plan renews a limited monthly credit allowance. Storage and model eligibility are restricted, and advanced agent or team features depend on the plan. Provider-key and self-hosted arrangements have separate model, infrastructure and licensing considerations.
How should I start a small evaluation?
Create a project with a clear purpose and permitted source material. Choose an agent and model appropriate to one small task.
What should I check in the result?
Confirm each cited decision exists and inspect any requested tool permissions.
When should I choose a different workflow?
TypingMind for a different multi-model workspace; Letta for a developer-oriented stateful agent platform.
Did this help you complete your task?
Tell us what needs improving. No account or private output required.
Report incorrect information or a broken linkReview evidence
Documentation-based review · 2026-10-15
Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.
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