Today’s agents are one-off, task-driven tools — isolated, slow, costly, and hard to build — failing to unlock the full potential of AI models.LobeHub changes that. We build long-term agent teammates that grow with you. Anyone can easily create and collaborate with agent teams to deliver complex, end-to-end work. With multi-model support, LobeHub is faster, more cost-effective, and goes beyond single-agent systems.
What about integrating third-party services via API in these agents? Is that possible? For example, for my travel project, I need an agent that connects via API to a weather service and then performs a search in a vector database after receiving that data. Can your service help me build something like this?
The latest version has a pretty large installation footprint, which might discourage users from installing it.
Excellent product—congrats on the launch.
A few notes: the 50% off code doesn’t work on all plans (it’s not accepted on the Ultimate plan), and when I try to install it on my PC, Microsoft Defender blocks it due to an unknown publisher.
Importing my own datasets into LobeHub agents was straightforward, enabling custom solutions quickly.
Congrats on the launch. I've been using LobeChat since very early, and the interface is fantastic. Really excited to see you expanding into agent teams, if the implementation is as clean as the chat interface, this is going to be huge for workflow automation.
Also please create a template on dokploy with server version, so we can deploy everything with one click.
From chat assistants to agents, this is awesome and can do a lot of everyday tasks.
I’m impressed with how quick LobeHub iterates; new features roll out at an exciting pace.
The memory editing tool helps fix misunderstandings quickly; I wish more AI apps had this.
Creating and collaborating with an entire team of agents instead of just one sounds like it could handle way more complex work. I wonder how well the agents actually communicate with each other is it seamless enough to finish an entire project without me having to micromanage every step?
This feels like something you integrate into how you work, not something you try once. That’s rare.
What impresses me most is the multi-model orchestration that balances cost and performance while staying accessible to non-engineers. Everyone can benefits from such a complex agent team! LobeHub could be a practical asset for everyday systematic work.
I’ve always felt that most AI tools are just one-off task bots, so the idea of 'long-term agent teammates' that actually grow with you sounds like a massive upgrade. I’m really curious if these agents actually learn from past interactions to get smarter over time, or if they just follow fixed rules.
LobeHub's white-box memory is what makes this different from the usual agent chat wrappers. Being able to inspect and edit what the agent remembers turns the context window from a black box into something you can actually curate. Curious how persistence works across sessions.
I'm pretty excited about this launch. Excited to have a place to bring everything in one hub to build and have the memory and ability to shift from model to model. I just signed up and I'm ready to start learning how to get Lobe working for me! Congratulations on the launch here at Product Hunt!
love the "teammate" framing vs just "bot". since they are teammates, can multiple agents collaborate on a single complex task (like one researching, one coding), or do I have to manage the handoffs myself?
In practice, multi-agent setups can add complexity: how do you decide when a task should be handled by one agent vs a team, and what debugging/auditability features did you prioritize so users can trust and reproduce outcomes?
congrats on the launch @arvinx love the "agents that grow with you" framing. The persistent memory piece is exactly what's missing from most agent tools today/ curious how you're handling state persistence across conversations? Building something adjacent at mio.xyz. Congrats on the launch!
Congrats on the launch! How does LobeHub address data security, especially for enterprise deployments?