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Cumora vs Loma (2026)

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

Last updated: August 20, 2026

Quick answer

Cumora and Loma are both strong choices, but they fit different needs. Choose Cumora if you mainly need embedding ai agents directly into software development team workflows alongside human engineers — its edge is mit-licensed and fully self-hostable with a detailed, published architecture for technical transparency. 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. Cumora starts at Pricing on request; Loma starts at Free.

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Cumora logo
Cumora

AI agents as real teammates in your team chat and workflow

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Loma logo
Loma

Give every AI agent and teammate shared memory instantly.

PricingFreemium
PricingFree
Starts atPricing on request
Starts atFree
Free tierFully open source and self-hostable under MIT license
Free tierFully free and open-source with no usage limits or paywalls
RatingNot yet rated
RatingNot yet rated
Best forEmbedding AI agents directly into software development team workflows alongside human engineers
Best forCoordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs
Key strengthMIT-licensed and fully self-hostable with a detailed, published architecture for technical transparency
Key strengthCompletely free and open-source with no subscription or SaaS fees
Main drawbackHeavy self-hosting requirements including Postgres, Redis, and an OpenAI key create a steep setup barrier for smaller teams
Main drawbackRequires technical expertise to self-host and maintain the infrastructure

Features compared

Cumora

  • AI agents with persistent memory and custom personas that participate in team chat, DMs, and Kanban boards
  • Bring-your-own-agent mode for running Claude Code or Codex locally without exposing provider keys to the server
  • Real multi-agent coordination with atomic work claims, freshness gates, and a triage gate for task management
  • Full email integration allowing AI agents to send and receive real emails as part of team workflows

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

Cumora

Pros

  • MIT-licensed and fully self-hostable with a detailed, published architecture for technical transparency
  • Bring-your-own-agent mode ensures provider API keys stay local and never reach the Cumora server
  • Genuine multi-agent coordination engineering including atomic work claims and a built-in benchmark suite

Cons

  • Heavy self-hosting requirements including Postgres, Redis, and an OpenAI key create a steep setup barrier for smaller teams
  • The public repository has only a single squashed commit, making it difficult to audit the development history or track changes over time

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 Cumora if

you mainly need to embedding ai agents directly into software development team workflows alongside human engineers. Its edge: mit-licensed and fully self-hostable with a detailed, published architecture for technical transparency.

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 Cumora better than Loma?

Neither is universally better. Cumora is stronger for embedding ai agents directly into software development team workflows alongside human engineers, with an edge in mit-licensed and fully self-hostable with a detailed, published architecture for technical transparency. 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, Cumora or Loma?

Cumora starts at Pricing on request and Loma starts at Free. Free tier: Cumora — Fully open source and self-hostable under MIT license; Loma — Fully free and open-source with no usage limits or paywalls.

What is Cumora best for?

Cumora is best for embedding ai agents directly into software development team workflows alongside human engineers, coordinating multiple ai agents to handle triage, task assignment, and project tracking autonomously, self-hosting a private ai-powered team communication platform with full control over data and 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 Cumora and Loma have free plans?

Cumora: Fully open source and self-hostable under MIT license. Loma: Fully free and open-source with no usage limits or paywalls. Check each tool's pricing page for current limits, as plans change.