LobeHub is live · free plan, paid from $9.90/mo billed annually · last verified 6 Nov 2026 · viability healthy
LobeHub
LobeHub puts Super-Agents to work in your team chat, picking up tasks and getting more expert every week.
Buy it if repeated, assignable work is piling up and nobody owns it. The proactive-agent model and acceptance checks are the actual product, not the model list. Do the credit math first, though: published rates like 4M credits per 1M Claude Opus 5.5 input tokens make the monthly allowances a leash, not a flat subscription.
Verdict generatedVerified 8d ago · liveness 89/100 · cite: rightaichoice.com/tools/lobehub
- Teams with recurring, assignable requests piling up in Slack or Discord with no owner
- Developers who want a self-hostable, open-source multi-agent platform with a real UI
- Ops and support leads triaging large ticket or issue backlogs in parallel
- Organisations consolidating scattered AI tools under one system with shared memory
- Anyone who wants a single-model chatbot without orchestration setup
- Teams unwilling to configure agent roles, permissions and proactive behaviour
- Budget planners who need a fixed monthly bill instead of credit-metered model spend
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip LobeHub if you want a single chat window with a predictable flat bill — credits are consumed per token, so heavy frontier-model use costs more than the $19.9/mo billed-yearly Premium figure suggests.
The $9.9–$39.9/mo billed-yearly tiers put LobeHub below enterprise agent platforms that require self-hosting or a sales contract, but credit metering means a solo builder burning Claude Opus 5.5 at 4M credits per 1M input tokens lands well above a flat $20/mo chat subscription. Starter fits an individual running a few scheduled agents; Premium and Ultimate fit small teams; Enterprise, with self-hosting and private models, is the only path for regulated data.
Our "biggest gripe" note written Oct 23, 2026 quotes $12.9, $24.9, $49.9, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
In short
LobeHub — LobeHub puts Super-Agents to work in your team chat, picking up tasks and getting more expert every week. Best for Teams with recurring, assignable requests piling up in Slack or Discord with no owner, Developers who want a self-hostable, open-source multi-agent platform with a real UI, Ops and support leads triaging large ticket or issue backlogs in parallel. Free to start; paid plans from $9.90/mo billed annually.
No head-to-head comparison for LobeHub yet — the alternatives below are the closest matches we list.
What is LobeHub?
LobeHub — LobeHub puts Super-Agents to work in your team chat, picking up tasks and getting more expert every week. Best for Teams with recurring, assignable requests piling up in Slack or Discord with no owner, Developers who want a self-hostable, open-source multi-agent platform with a real UI, Ops and support leads triaging large ticket or issue backlogs in parallel. Free to start; paid plans from $9.90/mo billed annually.
LobeHub is an open-source AI agent platform built around a different premise than most chat tools: instead of you prompting an assistant, agents join your team chats and take work on themselves. Add one as a teammate, tell it to read up, and it works through channel history, docs and code before reporting what it absorbed. From there it picks up unassigned requests, opens tasks without being tagged, and reports back in the original thread once something ships. The mechanisms behind that are concrete. Agent Builder turns a one-line brief into configured names, roles, skills and behaviours, and Agent Groups form teams that run tasks in parallel and iterate on feedback. A Self-evolving page tracks each practice an agent runs, whether it got it right, and which lessons you taught that keep breaking. Approvals run through acceptance checks with screenshots or recordings attached, and you accept delivery before a PR merges. Projects, Pages, Schedule and a shared Workspace give output somewhere to live and a context every agent can see. Delivery is where LobeHub diverges from most agent frameworks: an IM Gateway puts agents into Slack, Discord, Telegram, Feishu and more, and Codex, Claude Code, Amp, OpenCode and Pi connect as coding agents. A Home dashboard gives you a daily brief of what finished, what's still running and what needs a decision. Running costs are credit-metered, not flat. Free includes 500,000 credits per month; Starter at $9.9/mo yearly adds 5M credits, Premium $19.9/mo yearly 15M, and Ultimate $39.9/mo yearly 35M, with per-1M-token rates published for every model. Against flat-rate chat subscriptions, LobeHub sells coordination; against single-agent frameworks, it brings a UI, marketplace and chat delivery.
Key features
- Super-agents join team chats and pick up unassigned tasks on their own
- Proactive bots by default since v2.3.0, with an audit view of unprompted calls
- Agent Builder turns one sentence into configured roles, skills and behaviours
- Agent Groups form teams automatically and run tasks in parallel
- Acceptance checks with screenshots or recordings before you approve a delivery
- Self-evolving memory page tracking practices, pass rate and recurring lessons
- IM Gateway delivers agents into Slack, Discord, Telegram, Feishu and more
- Codex, Claude Code, Amp, OpenCode and Pi connect as coding agents
- Projects, Pages, Schedule and shared Workspace with common context
- Daily brief on a Home dashboard: finished, running, needs your decision
- RAG with per-tier vector storage and file upload
- Image and video generation plus Canvas and Editor 7.0 rendering
- Lobe Eval harness scores agent runs on real tasks with a Pass³ metric
- Per-1M-token credit pricing published for every supported model
- MCP marketplace with local connector installs on the desktop app
Behind the verdict
The pitch that lands is the onboarding story, not the feature list. An agent joins #general, reads 2,340 messages and 128 docs, then picks up a feature request six people +1'd without anyone tagging it. That last part is the test of whether you want this. LobeHub v2.3.0 makes bots proactive by default, and proactive agents need governance before they need more models. Where it fits: teams already living in Slack, Discord or Telegram with a backlog of small, well-scoped requests, and enough patience to configure roles and permissions once. Onboarding buddies, release notes, doc drafts, triage. The acceptance loop helps here — criteria set first, evidence attached, a separate judge, human sign-off — so you can send back a delivery that's off instead of hunting for what changed. Where it grates: anyone who wants a faster chatbot. There's nothing to hire, and the setup overhead buys you nothing. Budget planners will also flinch. Free gives 500K credits, which the pricing page itself frames as roughly 10 messages on Sonnet 5.5 and about 100 on Haiku 5.5; Starter's 5M credits gets you about 30 Opus 5.5 messages. Treat the tiers as allowances, not access. The closest alternative depends on what's broken. If you want model access, a flat chat subscription is simpler and cheaper. If you want agent orchestration without a UI layer, single-agent frameworks give you more control for less money and considerably more wiring. LobeHub's bet is that coordination, shared memory and delivery into chat apps are worth the complexity. In practice the self-evolving memory is the piece to watch. The vendor's own example shows an agent at 78% after two months against a 90% line, with one recurring lesson flagged to teach again. That's honest and instructive: you will spend real time
Models under the hood
as of 2026-11-08
Limitations
- LobeHub Cloud is credit-metered, with credits mapping to token usage per 1M tokens rather than to outcomes; usage is capped by plan (Free has limited free usage, Plus/Pro/Max add weekly allowances and 5-hour limits, with agent concurrency rising from 2 to 10 tasks at once).
- Frontier models stay costly at every tier — Claude Fable 5.1 and Fable 5 cost 10M credits per 1M input and 50M per 1M output tokens, versus 0.3M/1.2M for DeepSeek V4.1 Flash.
- Storage and capacity scale with plan: 15 MB file storage on Free up to 50 GB on Max, vector entries from 10,000 (Plus) to 100,000 (Max), and published site size from 20 MB to 100 MB.
- Private deployment, self-hosting and custom models are reserved for the Enterprise Edition.
as of 2026-10-23
Researching LobeHub? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Is LobeHub still active?
LobeHub is live · free plan, paid from $9.90/mo billed annually · last verified 6 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is LobeHub? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in LobeHub
Checked 9 days agoAcross the latest 4 updates: 1 feature update, 1 changelog entry and 2 community discussions.
LobeHub v2.3.0 makes bots proactive by default
LobeHub v2.3.0 makes bots proactive by default; post covers what changes when an agent speaks unprompted and how to audit the calls it gets wrong.
LobeHub post on autonomous agents that verify their own work
LobeHub describes a verification loop for autonomous agents: criteria set first, evidence with provenance, a separate judge, and human sign-off.
LobeHub weekly: Projects, agent channels, goal review loop, Canvas and Editor 7.0
LOL #19: work moves inside Projects, agents collaborate in channels and decide when to speak, goals get a review loop before sign-off, Resources become Docs, Canvas and Editor 7.0 ship.
LobeHub engineering: Lobe Eval tests agents on real-world tasks
Lobe Eval runs agents through LobeHub's product execution path in a stateful, resettable tool environment; Pass³ measures passes across three runs.
What do users say about LobeHub?
What people actually say about LobeHub — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Oct 9, 2026.
Weighted by the 35 posts each of 5 sources contributed.
- +Agent Groups auto-form teams from a one-sentence task and run them in parallel
- +Chief Agent Operator schedules and reports on 24/7 agent work while you're offline
- +IM Gateway deploys agents into Slack, Discord, Telegram, Feishu, WeChat, LINE, and QQ
- +Desktop terminal with multi-session tabs and local MCP connectors lets agents drive local files
- +White-box editable memory is a genuine trust feature — you can read and correct what it remembers
- −Landing page funnels you into sign-up with no browsable home to evaluate first
- −Self-hosting demands real infrastructure work across Windows, macOS, Linux, and Docker
- −Skill and MCP marketplaces have no enforced pre-execution security audit
- −1,069 open GitHub issues point to a busy bug and feature backlog
- −Credit-metered cloud pricing can escalate quickly for 24/7 parallel agent teams
- • Credit consumption scales sharply with parallel 24/7 agent teams, pushing users up tiers
- • Self-hosting shifts cost from subscription to infrastructure, DevOps time, and model API keys
- • Bring-your-own API keys means model provider bills stack on top of LobeHub credits if you self-host
How we verified this
Every listed fact about LobeHub — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 6 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified LobeHub 24 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed pricing page, models, platforms, limitations
- — changed features, who it suits, pricing tiers, our verdict, who should skip it, summary, description
- — changed integrations, who it suits, summary, description, our verdict, pricing tiers, features, who should skip it
- — changed models, pricing page, limitations, platforms
- — changed SSL certificate
Showing the 6 most recent of 24 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does LobeHub cost in 2026?
LobeHub: Free to start; paid plans from $9.90/mo billed annually. Pricing last verified 6 Nov 2026.
Plans compared
Every published LobeHub tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Individual trying LobeHub before paying, or someone who mostly uses GLM-5.3-Flash and unlimited Pages, image and video generation.Adds: Starting tier: 500,000 monthly credits, roughly 70 GLM-5.3-Flash messages, 15 MB file storage, no frontier models without a subscription. |
| Starter | $9.90/mo billed annuallyVendor: “$9.9/mo billed yearly (20% off)” | monthly, billed annually | Solo builder running a handful of scheduled agents who needs Claude Opus 5.5 and Gemini access without a team contract.Adds: Adds 5,000,000 monthly credits, roughly 30 Claude Opus 5.5 messages, 1 GB file storage, 5,000 vector entries, Agent Memory and early access to SOTA models. |
| Premium | $19.90/mo billed annuallyVendor: “$19.9/mo billed yearly (20% off)” | monthly, billed annually | Small team running agent groups daily who want priority support and more vector storage for knowledge-heavy work.Adds: Triples Starter to 15,000,000 credits and 70 Claude Opus 5.5 messages, raises vector storage to 10,000 entries and adds priority email support. |
| Ultimate | $39.90/mo billed annuallyVendor: “$39.9/mo billed yearly (20% off)” | monthly, billed annually | Teams running the CAO continuously across several projects and channels, where 35M credits a month still covers the workload.Adds: Adds 35,000,000 credits, roughly 160 Claude Opus 5.5 messages, 4 GB file storage, 20,000 vector entries and priority chat plus email support. |
| Enterprise Edition | Custom | quote | Organisations with regulated or private data that need LobeHub running on their own infrastructure with their own models.Adds: Moves beyond credits to custom terms: self-hosted deployment, commercial licence, brand theming, user management and private models. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where LobeHub's pricing actually pencils out — and where peers do it cheaper.
The $9.9–$39.9/mo billed-yearly tiers put LobeHub below enterprise agent platforms that require self-hosting or a sales contract, but credit metering means a solo builder burning Claude Opus 5.5 at 4M credits per 1M input tokens lands well above a flat $20/mo chat subscription. Starter fits an individual running a few scheduled agents; Premium and Ultimate fit small teams; Enterprise, with self-hosting and private models, is the only path for regulated data.
Our hidden-costs note written Oct 23, 2026 quotes $12.9, $24.9, $49.9, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
Has LobeHub's pricing changed?
No plan price for LobeHub has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick LobeHub?
Pick LobeHub if you are Teams with recurring, assignable requests piling up in Slack or Discord with no owner, Developers who want a self-hostable, open-source multi-agent platform with a real UI, Ops and support leads triaging large ticket or issue backlogs in parallel, Organisations consolidating scattered AI tools under one system with shared memory.
Look elsewhere if you are Anyone who wants a single-model chatbot without orchestration setup, Teams unwilling to configure agent roles, permissions and proactive behaviour, Budget planners who need a fixed monthly bill instead of credit-metered model spend, Buyers who need local file and terminal access without installing the desktop app.
Skip it if Skip LobeHub if you want a single chat window with a predictable flat bill — credits are consumed per token, so heavy frontier-model use costs more than the $19.9/mo billed-yearly Premium figure suggests.
GeneratedReal-world workflow fit
Concrete scenarios for the personas LobeHub actually fits — and what changes day-one when you adopt it.
You point the CAO at a 500-issue GitHub repository, let it hire 50 parallel agents, and go to bed.
Outcome: The Home dashboard shows which issues were triaged, which fixes are still running and a daily brief of what needs your review.
You connect the IM Gateway to Slack and Discord, then let agents answer repetitive tickets while routing anything unfamiliar to a human.
Outcome: Customers get answers in the channel they already use, and agent-level stats show which agents drive token spend.
You set a Schedule for a weekly multi-source research sweep and use Agent Groups for parallel source review.
Outcome: The report lands in your Workspace each morning, with white-box memory you can edit when an agent misreads your preferences.
Use cases
- Let the CAO sweep a 500-issue GitHub backlog overnight with 50 parallel agents
- Deploy agents in Slack or Discord to answer support tickets around the clock
- Schedule recurring research or meeting summaries and read the brief in the morning
- Compare GPT-6.1 Sol, Claude Sonnet 5.5 and Gemini 3.6 Flash side by side from one interface
- Install community-built skills such as a translator or code reviewer instead of writing prompts
- Run Ollama or vLLM locally and use LobeHub as the front end for a private setup
- Use Agent Groups for stock analysis, paper reviews or multi-source research
- Connect Codex, Claude Code, Amp, OpenCode or Pi as a local coding agent
Setup time & first value
How long it actually takes to get something useful out of LobeHub — broken out by persona, not the marketing-page minute.
Free cloud account to first agent: 10–15 minutes, since the Agent Builder auto-configures roles and skills from one sentence. Slack or Discord delivery via the IM Gateway adds about 15 minutes per channel. Self-hosting and Enterprise private deployment take considerably longer. Local file and terminal access requires the desktop app on macOS, Windows or Linux.
Switching to or from LobeHub
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or Claude subscriptions: start on Free, connect the model providers you already pay for, then move recurring prompts into Pages and Schedule.
- →From CrewAI or similar frameworks: rebuild each crew as an Agent Group, since the CAO handles hiring and scheduling instead of Python orchestration code.
- →From a local Ollama front end: point LobeHub at Ollama or vLLM following the docs provider pages to keep inference on your own hardware.
- ↗To self-hosted LobeHub: an Enterprise licence with user management, private models and brand theming keeps your Pages and agents in place.
- ↗To direct API use: export agent documents and Pages, then re-implement scheduled runs against Anthropic or OpenAI APIs yourself.
Integrations
Resources & guides
- Documentationlobehub.com
Introduction
LobeHub is the next-generation agent harness designed to democratize AI power. Move beyond one-off, task-driven tools and build long-term agent teammates that grow with you in the world’s largest human–agent co-evolving network.
- Resourcelobehub.com
Blog
Updates from the LobeHub team and Community—product, engineering, and ecosystem.
- Resourcelobehub.com
Resources
Docs, guides, and Community resources to help you get the most out of LobeHub.
- Resourcelobehub.com
Changelog
Track new features, fixes, and improvements in LobeHub.
- Resourcegithub.com
GitHub
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. - lobehub/lobehub
Tutorials & Learning
YouTube returned 6 videos for “LobeHub”, and we withheld 5: 5 could not be judged, because “LobeHub” is a single word that other videos use for other things. Showing the 1 we can prove is about LobeHub.
Official links
What are the best LobeHub alternatives?
The closest alternatives to LobeHub we list are CrewAI, A2A and xpander.ai. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| CrewAI | Freemium | Pricing not published | — |
| A2A | Free | Free | — |
| xpander.ai | Paid | Pricing not published | — |
Alternatives to LobeHub
View allCrewAI
CrewAI is an enterprise multi-agent platform: visual builder plus a governed control plane for production agent workflows.
A2A
A2A is an open agent-to-agent interoperability protocol that lets AI agents on different frameworks discover each other and delegate tasks.
xpander.ai
xpander.ai runs Claude Code, Codex, and OpenCode agents inside your own Kubernetes with budgets and every turn logged
Tools that pair well with LobeHub
Common stack mates teams adopt alongside LobeHub, with the specific reason each pairing earns its keep.
CrewAI
CrewAI is an enterprise multi-agent platform: visual builder plus a governed control plane for production agent workflows.
A2A
A2A is an open agent-to-agent interoperability protocol that lets AI agents on different frameworks discover each other and delegate tasks.
xpander.ai
xpander.ai runs Claude Code, Codex, and OpenCode agents inside your own Kubernetes with budgets and every turn logged
Frequently asked questions
Our FAQ answer written Oct 23, 2026 quotes $12.9, which no longer matches the verified price table, so it is being re-reviewed and is not shown.
Best-of guides
For makers of LobeHub
- Get a Verified Listing for LobeHub ($39): a written decision within 1 working day.
- Free listing for another tool: Free reviews are decided in order, within 3 weeks of the review starting.
Used LobeHub? Help shape our editorial sentiment research.