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LobeHub vs Loma (2026)

A side-by-side comparison of LobeHub and Loma on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 8, 2026

Quick answer

LobeHub and Loma are both strong choices, but they fit different needs. Choose LobeHub if you mainly need building and deploying a personal ai assistant with custom tools and plugins — its edge is open-source codebase gives developers full transparency and customization control. Choose Loma if you need coordinating multiple llm-based agents that need shared knowledge to avoid conflicting outputs — its edge is completely free and open-source with no subscription or saas fees. LobeHub starts at Cloud plans available, pricing varies by usage tier; Loma starts at Free.

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LobeHub logo
LobeHub

Orchestrate multi-agent AI workflows with one unified platform.

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Loma logo
Loma

Give every AI agent and teammate shared memory instantly.

PricingFreemium
PricingFree
Starts atCloud plans available, pricing varies by usage tier
Starts atFree
Free tierFree self-hosted version available via open-source repository
Free tierFully free and open-source with no usage limits or paywalls
RatingNot yet rated
RatingNot yet rated
Best forBuilding and deploying a personal AI assistant with custom tools and plugins
Best forCoordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs
Key strengthOpen-source codebase gives developers full transparency and customization control
Key strengthCompletely free and open-source with no subscription or SaaS fees
Main drawbackSelf-hosting requires technical knowledge and server setup which can be a barrier for beginners
Main drawbackRequires technical expertise to self-host and maintain the infrastructure

Features compared

LobeHub

  • Multi-agent orchestration for coordinating specialized AI agents on complex tasks
  • Built-in plugin marketplace to extend agent capabilities with third-party integrations
  • Customizable AI personas and system prompts for tailored assistant behavior
  • Support for multiple LLM providers including OpenAI, Anthropic, and local models

Loma

  • Self-hosted shared memory layer deployable on your own infrastructure
  • Company-wide knowledge store accessible by multiple AI agents simultaneously
  • Recallable context that persists across agent sessions and team interactions
  • Open-source codebase with full customization and integration flexibility

Pros & cons

LobeHub

Pros

  • Open-source codebase gives developers full transparency and customization control
  • Supports multiple LLM backends so users are not locked into a single AI provider
  • Polished modern UI lowers the barrier to entry for non-technical users

Cons

  • Self-hosting requires technical knowledge and server setup which can be a barrier for beginners
  • Feature set and documentation are evolving rapidly, which may cause occasional instability

Loma

Pros

  • Completely free and open-source with no subscription or SaaS fees
  • Full data privacy since everything runs on your own servers
  • Enables true multi-agent coordination with a single shared memory source

Cons

  • Requires technical expertise to self-host and maintain the infrastructure
  • No managed cloud option for teams that prefer a hands-off deployment

The verdict

Choose LobeHub if

you mainly need to building and deploying a personal ai assistant with custom tools and plugins. Its edge: open-source codebase gives developers full transparency and customization control.

Choose Loma if

you mainly need to coordinating multiple llm-based agents that need shared knowledge to avoid conflicting outputs. Its edge: completely free and open-source with no subscription or saas fees.

Frequently asked questions

Is LobeHub better than Loma?

Neither is universally better. LobeHub is stronger for building and deploying a personal ai assistant with custom tools and plugins, with an edge in open-source codebase gives developers full transparency and customization control. Loma is stronger for coordinating multiple llm-based agents that need shared knowledge to avoid conflicting outputs, with an edge in completely free and open-source with no subscription or saas fees. Pick based on your main task.

Which is cheaper, LobeHub or Loma?

LobeHub starts at Cloud plans available, pricing varies by usage tier and Loma starts at Free. Free tier: LobeHub — Free self-hosted version available via open-source repository; Loma — Fully free and open-source with no usage limits or paywalls.

What is LobeHub best for?

LobeHub is best for building and deploying a personal ai assistant with custom tools and plugins, automating research and content workflows using coordinated multi-agent pipelines, developers self-hosting a full-featured ai chat and agent platform on their own infrastructure.

What is Loma best for?

Loma is best for coordinating multiple llm-based agents that need shared knowledge to avoid conflicting outputs, storing and retrieving internal company knowledge for ai-assisted workflows, building internal ai assistants that remember prior context across departments.

Do LobeHub and Loma have free plans?

LobeHub: Free self-hosted version available via open-source repository. Loma: Fully free and open-source with no usage limits or paywalls. Check each tool's pricing page for current limits, as plans change.