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Google Antigravity 2.0 vs Loma (2026)

A side-by-side comparison of Google Antigravity 2.0 and Loma on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 8, 2026

Quick answer

Google Antigravity 2.0 and Loma are both strong choices, but they fit different needs. Choose Google Antigravity 2.0 if you mainly need building automated research pipelines using multiple specialized ai agents — its edge is desktop-native interface gives developers more control and faster iteration cycles. 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. Google Antigravity 2.0 starts at Pricing details not publicly confirmed; check official site for plans; Loma starts at Free.

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Google Antigravity 2.0 logo
Google Antigravity 2.0

Orchestrate powerful multi-agent AI workflows from your desktop.

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Loma logo
Loma

Give every AI agent and teammate shared memory instantly.

PricingFreemium
PricingFree
Starts atPricing details not publicly confirmed; check official site for plans
Starts atFree
Free tierFree tier available with basic agent orchestration features
Free tierFully free and open-source with no usage limits or paywalls
RatingNot yet rated
RatingNot yet rated
Best forBuilding automated research pipelines using multiple specialized AI agents
Best forCoordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs
Key strengthDesktop-native interface gives developers more control and faster iteration cycles
Key strengthCompletely free and open-source with no subscription or SaaS fees
Main drawbackLimited public documentation makes it hard to assess full capabilities before downloading
Main drawbackRequires technical expertise to self-host and maintain the infrastructure

Features compared

Google Antigravity 2.0

  • Visual multi-agent workflow orchestration from a native desktop application
  • Support for coordinating parallel AI agent tasks and pipelines
  • Local-first environment for testing and debugging agent interactions
  • Integration capabilities with Google AI services and third-party tools

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

Google Antigravity 2.0

Pros

  • Desktop-native interface gives developers more control and faster iteration cycles
  • Local orchestration improves privacy and security for sensitive workflows
  • Backed by Google infrastructure, suggesting strong reliability and ecosystem integration

Cons

  • Limited public documentation makes it hard to assess full capabilities before downloading
  • As a newer release, community support and third-party integrations may still be maturing

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 Google Antigravity 2.0 if

you mainly need to building automated research pipelines using multiple specialized ai agents. Its edge: desktop-native interface gives developers more control and faster iteration cycles.

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 Google Antigravity 2.0 better than Loma?

Neither is universally better. Google Antigravity 2.0 is stronger for building automated research pipelines using multiple specialized ai agents, with an edge in desktop-native interface gives developers more control and faster iteration cycles. 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, Google Antigravity 2.0 or Loma?

Google Antigravity 2.0 starts at Pricing details not publicly confirmed; check official site for plans and Loma starts at Free. Free tier: Google Antigravity 2.0 — Free tier available with basic agent orchestration features; Loma — Fully free and open-source with no usage limits or paywalls.

What is Google Antigravity 2.0 best for?

Google Antigravity 2.0 is best for building automated research pipelines using multiple specialized ai agents, coordinating complex software development workflows with agent-based task delegation, prototyping and testing multi-agent systems before deploying to production cloud environments.

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 Google Antigravity 2.0 and Loma have free plans?

Google Antigravity 2.0: Free tier available with basic agent orchestration features. Loma: Fully free and open-source with no usage limits or paywalls. Check each tool's pricing page for current limits, as plans change.