Memobase

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Memobase is an AI Agents & Automation tool that provides user profile-based long-term memory for AI chatbot applications. It empowers AI to remember, understand, and evolve with users, offering a balance of performance, cost-efficiency, and low latency.

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At a glance

Pricing

Open Source · Freemium

Free tier

Yes

API

Yes

Skill level

Technical

About

What is memobase?

Memobase is a user profile-based memory system specifically designed to bring long-term user memory to LLM applications. It enables AI chatbots to remember, understand, and adapt to individual users over time, making it ideal for virtual companions, educational tools, and personalized assistants. The system focuses on key metrics such as performance, achieving top-tier search performance in benchmarks, and cost-efficiency by batch-processing chats to reduce LLM overhead. It also boasts low latency, similar to ChatGPT's memory system, by providing immediate access to user profiles and event timelines. Memobase offers flexible configuration for designing user profiles, easy integration with existing LLM stacks via API and SDKs, and is built for production readiness using FastAPI, Postgres, and Redis, with full Dockerization.

Best used for

Ideal for developers and product managers who need to implement long-term memory in AI chatbots, personalize user interactions, and track user behavior. Especially valuable for creating virtual companions, educational tools, and personalized assistants that evolve with their users.

Common actions

build AI memory

personalize chatbot interactions

manage user profiles

integrate long-term memory

automated workflowdeepfakeworkflowscollaborationopen-sourcelow-code/no-code"AI Agents"face swappinggithub copilot

Capabilities

Key features

User profile-based memory
Time-aware event recording
Configurable memory profiles
API and SDK integration
Batch-processing chats
Production-ready infrastructure
Low latency memory access

Target Audience

developerproduct managerstartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source · Freemium

Free

FAQs

What kind of data can Memobase store for user profiles?

Memobase can store various types of user data as 'blobs,' including chat messages. It learns structured profiles from this data, covering topics like basic info, demographics, education, interests, and work, which evolve as more data is inserted.

How does Memobase ensure cost-efficiency for LLM applications?

Memobase includes a built-in buffer for each user to batch-process their chats, distributing the overhead efficiently. It also carefully designs prompts and workflows to minimize LLM calls, reducing token costs by approximately 40-50%.

Can Memobase be integrated with existing LLM frameworks?

Yes, Memobase offers easy integration with minimal code changes. It provides an API, Python, Node, and Go SDKs, and can be used with popular LLM frameworks like OpenAI SDK and Ollama, making it adaptable to various existing stacks.

Does Memobase offer a free option for testing and development?

Yes, Memobase provides a free tier through Memobase Cloud, which is sufficient for testing purposes. Additionally, users can run a Memobase server locally for development, and a Playground is available to explore its features without setup.

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