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AgentX vs Loma (2026)

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

Last updated: July 8, 2026

Quick answer

AgentX and Loma are both strong choices, but they fit different needs. Choose AgentX if you mainly need building and orchestrating multi-step ai agent workflows for production applications — its edge is grounds evaluations in real production data rather than synthetic test cases. 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. AgentX starts at Paid credits available for higher usage and production-scale evaluations; Loma starts at Free.

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AgentX logo
AgentX

Build, debug, and ship production-ready AI agents faster.

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Loma logo
Loma

Give every AI agent and teammate shared memory instantly.

PricingFreemium
PricingFree
Starts atPaid credits available for higher usage and production-scale evaluations
Starts atFree
Free tierFree tier available with a base credit allocation for building and testing agents
Free tierFully free and open-source with no usage limits or paywalls
RatingNot yet rated
RatingNot yet rated
Best forBuilding and orchestrating multi-step AI agent workflows for production applications
Best forCoordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs
Key strengthGrounds evaluations in real production data rather than synthetic test cases
Key strengthCompletely free and open-source with no subscription or SaaS fees
Main drawbackCredit-based pricing can become costly as production trace volume scales up
Main drawbackRequires technical expertise to self-host and maintain the infrastructure

Features compared

AgentX

  • Multi-agent workflow builder for composing complex AI pipelines visually
  • One-click conversion of production traces into evaluation datasets
  • Agent debugging tools that surface failure points in live deployments
  • Credit-based usage model with a free tier for getting started

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

AgentX

Pros

  • Grounds evaluations in real production data rather than synthetic test cases
  • Significantly speeds up the debug cycle with one-click evaluation set creation
  • Accessible free tier allows developers to explore agent building without upfront cost

Cons

  • Credit-based pricing can become costly as production trace volume scales up
  • Platform is primarily aimed at technical AI engineers, which may limit accessibility for non-developers

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 AgentX if

you mainly need to building and orchestrating multi-step ai agent workflows for production applications. Its edge: grounds evaluations in real production data rather than synthetic test cases.

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 AgentX better than Loma?

Neither is universally better. AgentX is stronger for building and orchestrating multi-step ai agent workflows for production applications, with an edge in grounds evaluations in real production data rather than synthetic test cases. 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, AgentX or Loma?

AgentX starts at Paid credits available for higher usage and production-scale evaluations and Loma starts at Free. Free tier: AgentX — Free tier available with a base credit allocation for building and testing agents; Loma — Fully free and open-source with no usage limits or paywalls.

What is AgentX best for?

AgentX is best for building and orchestrating multi-step ai agent workflows for production applications, debugging failing agents by analyzing real production traces and generating targeted evaluations, iterating on agent behavior using data-driven evaluation sets derived from actual user interactions.

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 AgentX and Loma have free plans?

AgentX: Free tier available with a base credit allocation for building and testing agents. Loma: Fully free and open-source with no usage limits or paywalls. Check each tool's pricing page for current limits, as plans change.