Loma
Give every AI agent and teammate shared memory instantly.
Quick answer
Loma — Give every AI agent and teammate shared memory instantly. It's free. Best for coordinating multiple LLM-based agents that need shared knowledge to avoid conflicting outputs.
Loma is a free, open-source, self-hosted shared AI memory layer that gives every agent and teammate in your organization access to the same recallable context and knowledge. Built for teams that want unified AI context without relying on a third-party SaaS platform, Loma acts as a central brain that any agent or employee can query and write to in real time. This makes it especially valuable for engineering teams, AI developers, and businesses building multi-agent workflows where consistent, shared knowledge is critical to reliable outputs. Unlike cloud-based memory solutions that store sensitive company data on external servers, Loma is deployed entirely on your own infrastructure, meaning your proprietary information stays under your control. Whether you are coordinating LLM-powered assistants, automating internal workflows, or simply trying to keep AI tools in sync across departments, Loma provides the connective tissue that turns isolated AI interactions into a coherent, company-wide intelligence system.
Key features
- 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
- +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
- −Requires technical expertise to self-host and maintain the infrastructure
- −No managed cloud option for teams that prefer a hands-off deployment
Pricing
Fully free and open-source with no usage limits or paywalls
-
Self-hosted deployment; no paid tiers or enterprise licensing fees
Who is it 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
Frequently asked questions
Is Loma free?
Yes, Loma is completely free. It is an open-source project available on GitHub with no paid tiers, no subscription fees, and no usage limits. You simply host it yourself on your own infrastructure.
What is Loma best used for?
Loma is best used for teams building multi-agent AI systems or AI-powered internal tools that require a shared, persistent memory layer. It is ideal when multiple agents or employees need to access and update the same contextual knowledge base without data leaving your own servers.
What are the best alternatives to Loma?
Alternatives to Loma include Mem0 (a managed AI memory layer), LangChain Memory modules, Zep (an open-source memory store for LLM apps), and custom vector database solutions using tools like Pinecone or Weaviate. Unlike most of these, Loma is fully self-hosted and free.
Is Loma safe to use?
Loma is designed with privacy in mind. Because it is self-hosted, all data remains on your own servers and is never sent to a third-party service. The safety of your deployment depends on how you configure and secure your own infrastructure, giving you full control over access and data handling.
How much does Loma cost?
Loma costs nothing. It is an open-source, self-hosted tool with no licensing fees, no subscription plans, and no enterprise pricing tiers. The only costs involved are those associated with running and maintaining your own server or cloud infrastructure.
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