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LobeHub
PROMISING
#4509 Radar 39

Manages and schedules AI agents for teams, centralizing multi-agent workflows.

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Product memo

Teams and individuals building AI agent operations use LobeHub to centralize management and collaboration. It acts as a Chief Agent Operator, allowing users to schedule, manage, and report on AI teams. This approach enables long-horizon tasks and parallel collaboration, moving beyond fragmented single-agent tools.

For who

Teams and individuals building AI agent operations

Solves what

Centralized management and collaboration for AI agent teams

  • Agent hiring and scheduling
  • Skill marketplace integration
  • Multimodal workflow collaboration
"

In their own words

Your Chief Agent Operator

LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online.

The ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you.

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Credit-based usage and storage limits scale with higher-priced plans.
  • Free tier lowers testing friction.

Operator context

Founded

Jan 2026

Platform

Web app

Audience

Developers

Tech stack

EmotionRxJSAnt Design

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Complex Stack
About LobeHub Expand

LobeHub offers a centralized platform for managing and collaborating with AI agent teams. It serves individuals and teams who need to orchestrate complex AI operations, moving beyond single-agent tools to enable multi-agent workflows.

The platform provides agent management, scheduling, and a skill marketplace, allowing users to customize agent capabilities. This focus on aggregating diverse AI skills and models simplifies deployment, making it easier for users to use AI without managing individual components.

LobeHub's tiered pricing, based on credits and storage, supports adoption from free users to enterprise-level operations.