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AgentOS vs Loma (2026)

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

Last updated: July 8, 2026

Quick answer

AgentOS and Loma are both strong choices, but they fit different needs. Choose AgentOS if you mainly need automating multi-step research and data gathering workflows using coordinated ai agents — its edge is centralizes agent management so you do not need multiple disconnected tools. 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. AgentOS starts at $19/month; Loma starts at Free.

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AgentOS logo
AgentOS

One control layer to orchestrate all your AI agents effortlessly.

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Loma logo
Loma

Give every AI agent and teammate shared memory instantly.

PricingFreemium
PricingFree
Starts at$19/month
Starts atFree
Free tierFree tier available with limited agents and workspace capacity
Free tierFully free and open-source with no usage limits or paywalls
RatingNot yet rated
RatingNot yet rated
Best forAutomating multi-step research and data gathering workflows using coordinated AI agents
Best forCoordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs
Key strengthCentralizes agent management so you do not need multiple disconnected tools
Key strengthCompletely free and open-source with no subscription or SaaS fees
Main drawbackRelatively new platform with a smaller community and fewer third-party integrations compared to established alternatives
Main drawbackRequires technical expertise to self-host and maintain the infrastructure

Features compared

AgentOS

  • Unified dashboard for managing multiple AI agents across projects
  • Workspace organization to group tasks, agents, and outputs logically
  • Task orchestration layer to sequence and monitor multi-step agent workflows
  • Collaborative environment for teams to build and iterate on agent pipelines

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

AgentOS

Pros

  • Centralizes agent management so you do not need multiple disconnected tools
  • Workspace model keeps complex projects organized and easy to navigate
  • Lowers the barrier for non-engineers to work with autonomous AI agents

Cons

  • Relatively new platform with a smaller community and fewer third-party integrations compared to established alternatives
  • Pricing details are not fully transparent on the public website, requiring sign-up to explore limits

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 AgentOS if

you mainly need to automating multi-step research and data gathering workflows using coordinated ai agents. Its edge: centralizes agent management so you do not need multiple disconnected tools.

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 AgentOS better than Loma?

Neither is universally better. AgentOS is stronger for automating multi-step research and data gathering workflows using coordinated ai agents, with an edge in centralizes agent management so you do not need multiple disconnected tools. 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, AgentOS or Loma?

AgentOS starts at $19/month and Loma starts at Free. Free tier: AgentOS — Free tier available with limited agents and workspace capacity; Loma — Fully free and open-source with no usage limits or paywalls.

What is AgentOS best for?

AgentOS is best for automating multi-step research and data gathering workflows using coordinated ai agents, building and managing customer support bots that hand off tasks between specialized agents, organizing internal productivity automations for teams without deep engineering resources.

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 AgentOS and Loma have free plans?

AgentOS: Free tier available with limited agents and workspace capacity. Loma: Fully free and open-source with no usage limits or paywalls. Check each tool's pricing page for current limits, as plans change.