LobeHub Review 2026: Pricing, Features, Pros & Cons
LobeHub sells itself as a chief agent operator rather than another chat window — you hire agents, schedule them, and they report back while you set strategy. The pricing page is unusually honest about what a credit buys, and reading it carefully is what tells you the tier you actually need.
Quick Verdict
Best for: people who want agents that keep running after the tab closes — scheduled, reachable in Slack or another IM, and carrying memory between sessions — without building the orchestration themselves. Not for: heavy frontier-model users, where the credit allowances run out quickly and bringing your own API keys to a simpler client is cheaper.
What Is LobeHub?
LobeHub positions itself as a chief agent operator rather than another chat interface. The product organises a fleet of agents into continuous operation — hiring them, scheduling them and reporting back — so the human sets strategy while the agents run around the clock. The headline use cases published on the site are long-horizon rather than conversational: dispatching fifty agents across five hundred open GitHub issues overnight, running a Shopify and Amazon storefront, moderating a Discord community. That is a different job from the single-session assistant most chat products sell, and it is the right frame for judging whether the price is reasonable.
The surface area follows the framing. An IM gateway puts agents inside the chat tools people already use, which matters more than it sounds: an agent that only exists in a browser tab is not running around the clock in any meaningful sense. An agent marketplace and an agent builder cover creation, and a community layer shares agents and skills so you are not starting from an empty canvas. A desktop download is available alongside the hosted product, and the project has an open-source lineage.
Model access is broad and metered in credits rather than requests, spanning DeepSeek V4 Pro, Claude Sonnet 5, Claude Opus 5 and Grok 4.6. The pricing page publishes approximate message counts per model at each tier, which is a useful honesty — a credit allowance means very different things depending on which model you point it at, and most vendors leave you to discover that on your first bill. Paid tiers also carry file and vector storage allowances, agent memory and early access to state-of-the-art models.
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LobeHub Pros & Cons
✓ Pros
- •The pricing page publishes approximate message counts per model at each tier — roughly 3,200 DeepSeek V4 Pro, 500 Claude Sonnet 5, 200 Claude Opus 5 or 600 Grok 4.6 messages on Starter. Very few credit-based products tell you what a credit is worth, and this one does
- •The positioning is genuinely different from a chat client: agents are hired, scheduled and report back, so the human sets strategy while the fleet runs continuously. The published use cases are long-horizon — fifty agents across five hundred open GitHub issues overnight, running a Shopify and Amazon storefront, moderating a Discord community
- •The IM gateway puts agents inside the chat tools a team already uses, which is where an always-on agent actually belongs — an agent that only exists in a browser tab you closed is not running around the clock
- •Model access is broad and current: DeepSeek V4 Pro, Claude Sonnet 5, Claude Opus 5 and Grok 4.6, with early access to state-of-the-art models on paid tiers
- •The free tier is unusually usable — 500,000 credits a month, roughly 300 DeepSeek V4 Pro or 100 Grok 4.6 messages, unlimited pages, plus image and video generation
- •Credits are metered rather than requests, so a short exchange with a small model costs a fraction of a long one with a frontier model, which is the fairer way to bill mixed workloads
- •The paid tiers add the infrastructure agents need to be useful over time: file storage, vector entries and agent memory, rather than only a bigger message allowance
- •An agent marketplace, an agent builder and a community layer for sharing agents and skills mean you are not starting from an empty canvas
- •A desktop download exists alongside the hosted product, the project has an open-source lineage, and the free trial of DeepSeek V4 Pro and Claude Sonnet 5 needs no credit card
✗ Cons
- •Claude Sonnet 5 and Claude Opus 5 are not available on the free tier at all, so you cannot evaluate the models most people are choosing this product for without paying
- •The credit numbers are large and the message estimates small: 5,000,000 credits on Starter is only about 200 Claude Opus 5 messages. Anyone planning to run a fleet on a frontier model will exhaust a tier far faster than the headline suggests
- •Storage allowances are tight for a product selling long-running agents — 10 MB of file storage on free, 1 GB on Starter, 2 GB on Premium and 4 GB on the $39.90 Ultimate tier
- •Vector entries are capped too — 5,000 on Starter, 10,000 on Premium — which is a small knowledge base if agents are meant to operate over a real corpus
- •The advertised message counts are approximate by the vendor's own framing, so the number you can actually plan against is discovered in your first month, not read off the page
- •The gap between the marketing — fifty agents on five hundred issues overnight — and the credit allowances is wide. That flagship scenario is not a Starter-tier workload on a frontier model
- •Additional credit packages can be purchased on top, which means the subscription is a floor rather than a cap for heavy use
- •Agent memory is a paid feature, so the free tier cannot demonstrate the continuity that makes an agent fleet different from repeated chat sessions
LobeHub Pricing 2026
Free
- •500,000 credits/month
- •~300 DeepSeek V4 Pro messages
- •~100 Grok 4.6 messages
- •No Claude Sonnet 5 or Opus 5
- •10 MB file storage, unlimited pages
- •Image and video generation
Trying the agent model on cheaper LLMs
Starter
- •5,000,000 credits
- •~3,200 DeepSeek / 500 Sonnet 5
- •~200 Opus 5 / 600 Grok 4.6
- •1 GB files, 5,000 vector entries
- •Agent memory
- •Early access to SOTA models
One person running a few standing agents
Premium
- •15,000,000 credits
- •~9,600 DeepSeek / 1,400 Sonnet 5
- •~500 Opus 5 / 1,900 Grok 4.6
- •2 GB files, 10,000 vector entries
- •Priority email support
Daily frontier-model use — the sensible tier
Ultimate
- •35,000,000 credits
- •~22,500 DeepSeek / 3,200 Sonnet 5
- •~1,300 Opus 5 / 4,400 Grok 4.6
- •4 GB file storage
- •Priority chat and email support
Continuous fleets on frontier models
Prices as published, monthly. Yearly billing is 20% off, message counts are the vendor's own approximations, and extra credit packages can be bought on top of any tier.
What Each Tier Actually Buys
| Plan | Price | What to know |
|---|---|---|
| Free | $0 — 500,000 credits/mo | About 300 DeepSeek V4 Pro or 100 Grok 4.6 messages. Claude Sonnet 5 and Opus 5 are not supported on this tier. 10 MB file storage, unlimited pages, image and video generation, email and community forum support |
| Starter | $9.90/month | 5,000,000 credits — roughly 3,200 DeepSeek V4 Pro, 500 Claude Sonnet 5, 200 Claude Opus 5 or 600 Grok 4.6 messages. 1 GB file storage, 5,000 vector entries, agent memory and early access to SOTA models |
| Premium | $19.90/month | 15,000,000 credits — about 9,600 / 1,400 / 500 / 1,900 messages on the same four models. 2 GB file storage, 10,000 vector entries, priority email support |
| Ultimate | $39.90/month | 35,000,000 credits — about 22,500 / 3,200 / 1,300 / 4,400 messages. 4 GB file storage, priority chat and email support |
| Yearly billing | 20% off | The monthly prices above are the headline; committing annually takes 20% off. Additional credit packages can also be bought on top of any tier |
| Free trial | No credit card | A trial of DeepSeek V4 Pro and Claude Sonnet 5 requires no card, which is the only way to see Sonnet 5 output without subscribing |
The one-line version: your model choice sets your tier. The same 5,000,000 credits are 3,200 DeepSeek messages or 200 Opus 5 messages.
LobeHub vs TypingMind vs OpenRouter
| Feature | LobeHub | TypingMind | OpenRouter |
|---|---|---|---|
| Core framing | Agent fleet operations | Multi-model chat client | Model routing API |
| Scheduled / always-on agents | ✅ Core product | ⚠️ Limited automation | ❌ You build it |
| Agents in Slack / IM | ✅ IM gateway | ❌ No | ❌ No |
| Billing model | Credits, subscription tiers | One-time licence + your keys | Pure pay-per-token |
| Bring your own API key | ⚠️ Hosted credits are the default | ✅ Its whole model | ✅ N/A — it is the key |
| Agent marketplace / builder | ✅ Both, plus community | ⚠️ Plugins and prompts | ❌ No |
| Vector store / memory | ✅ Paid tiers | ⚠️ Basic | ❌ No |
| Free tier | ✅ 500K credits/mo | ❌ Paid licence | ⚠️ Credits you buy |
| Entry paid price | $9.90/mo | One-time licence | Usage only |
Who Should Actually Use LobeHub
Use it if: the work you want done is long-horizon rather than conversational — issue triage, storefront operations, community moderation — and it should continue while you sleep; you want agents reachable from Slack or another IM rather than only in a browser; your workloads run mostly on cheaper models like DeepSeek V4 Pro, where the credit allowances stretch a long way; you want agent memory and a vector store without assembling them yourself; or you would rather start from a marketplace of existing agents than a blank prompt.
Skip it if: your usage is heavy and concentrated on frontier models, where roughly 200 Opus 5 messages a month on Starter will not go far and your own API keys in a simpler client cost less; you need a large knowledge base, since vector entries cap at 10,000 on Premium and file storage at 4 GB on the top tier; you need predictable spend, because credits plus optional top-up packages make the subscription a floor rather than a ceiling; or you only want a nicer way to chat with several models, which is a cheaper problem to solve.
Frequently Asked Questions
How much does LobeHub cost in 2026?
There is a free tier and three paid tiers, all metered in credits rather than requests, with 20% off for yearly billing. Free gives 500,000 credits a month — approximately 300 DeepSeek V4 Pro messages or 100 Grok 4.6 messages, with Claude Sonnet 5 and Claude Opus 5 not supported on this tier — plus 10 MB of file storage, unlimited pages, image and video generation, and email and community forum support. Starter is $9.90 a month for 5,000,000 credits, about 3,200 DeepSeek V4 Pro, 500 Claude Sonnet 5, 200 Claude Opus 5 or 600 Grok 4.6 messages, with 1 GB file storage, 5,000 vector entries, agent memory and early access to SOTA models. Premium is $19.90 a month for 15,000,000 credits, roughly 9,600 / 1,400 / 500 / 1,900 messages on those models, with 2 GB storage, 10,000 vector entries and priority email support. Ultimate is $39.90 a month for 35,000,000 credits, about 22,500 / 3,200 / 1,300 / 4,400 messages, with 4 GB storage and priority chat and email support. Additional credit packages can be purchased on top, and a free trial of DeepSeek V4 Pro and Claude Sonnet 5 requires no credit card.
What do LobeHub credits actually buy?
This is the question the pricing page answers better than most competitors, and the answer should change which tier you pick. Credits are consumed by model usage, so the same allowance stretches very differently depending on which model your agents run on. On Starter's 5,000,000 credits, you get approximately 3,200 DeepSeek V4 Pro messages — or about 200 Claude Opus 5 messages. That is a sixteen-fold difference from the same subscription. The practical consequence is that the tier you need is determined almost entirely by model choice, not by how many agents you run: a fleet of ten agents on DeepSeek is comfortably a Starter workload, while two agents in continuous operation on Opus 5 will burn through Premium. Decide your model first, then read across the row.
How is LobeHub different from a normal AI chat app?
The product is framed as a chief agent operator rather than a chat interface, and the difference is real rather than cosmetic. A chat app is session-based: you open it, you ask, you close it. LobeHub organises a fleet of agents into continuous operation — you hire them, schedule them, and they report back, which means the human sets strategy and the agents work while you are elsewhere. The published use cases reflect that: dispatching fifty agents across five hundred open GitHub issues overnight, running a Shopify and Amazon storefront, moderating a Discord community. Nothing on that list is a single-session request. The surface area follows: the IM gateway puts agents in the chat tools people already use so they are reachable when you are not at a browser, an agent marketplace and builder cover creation, and a community layer shares agents and skills. Agent memory, which makes an agent more than a repeated prompt, is a paid feature.
Is the LobeHub free tier good enough to evaluate it?
Partly, and the limitation is specific. 500,000 credits a month is a genuinely usable allowance — around 300 DeepSeek V4 Pro messages or 100 Grok 4.6 messages, alongside unlimited pages and image and video generation, which is more than most free tiers in this category offer. What you cannot do on free is use Claude Sonnet 5 or Claude Opus 5, and you cannot use agent memory. Those are two of the main reasons to consider the product, so the free tier shows you the interface and the agent model but not the quality or the continuity you would actually be buying. The no-credit-card trial of DeepSeek V4 Pro and Claude Sonnet 5 is the way to close half that gap before subscribing. Budget an evaluation month on Starter if agent memory matters to your use case.
LobeHub vs TypingMind — which should I choose?
They answer different questions. TypingMind is a multi-model chat client you buy once and point at your own API keys, which makes it the cheaper long-run option for heavy usage, since you pay providers directly at cost with no credit markup. LobeHub bundles hosted model access into a subscription and sells orchestration on top: scheduling, agent memory, a vector store, an IM gateway and a marketplace. If what you want is a better interface for talking to several models, TypingMind with your own keys is hard to beat on economics. If what you want is agents that keep working after you close the tab — running on a schedule, reachable in Slack, remembering prior work — that is the thing LobeHub is built for and TypingMind is not. The other axis is predictability: a licence plus metered API keys is transparent, while credits are simpler to start with and harder to forecast.
What are the best LobeHub alternatives?
TypingMind is the closest alternative if you want a polished multi-model client and would rather bring your own keys. OpenRouter is the answer if you do not want an application at all and would prefer to route models yourself at pure usage pricing, building whatever orchestration you need on top. Msty and Jan are the options worth checking if local or offline models matter, since LobeHub's value is concentrated in its hosted fleet. For pure agent orchestration in a development context, a coding-agent platform will go deeper on tool use and repository access than a general agent hub does. The honest framing is that LobeHub sits between a chat client and an agent platform: pick it when you want scheduling, memory and IM reach without building any of it, and pick something else when you only want model access or only want depth in one domain.
Related Reading
The rest of the multi-model and agent platform category, compared on the same terms.
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