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MemMachine

The advanced memory for AI agents, providing a comprehensive solution for short-term, long-term, and personalized memory to build truly stateful and intelligent applications.

For agents: MemMachine provides short-term, long-term and personalized memory for AI agents, with quickstart guides, core concepts and a documented RESTful API.

agent memorylong-term memorypersonalized memorystateful airestful api

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T21:16:34.828Z. Cached copy · Source on memmachine.ai

# MemMachine

> The advanced memory for AI agents, providing a comprehensive solution for short-term, long-term, and personalized memory to build truly stateful and intelligent applications.

MemMachine is a high-performance memory layer designed to overcome the inherent statelessness of LLMs. By offering a multi-tiered memory architecture, it empowers developers to create sophisticated AI agents that can maintain context, learn from interactions, and personalize responses for each user. The platform combines immediate, in-session (short-term) memory with a persistent, vector-searchable (long-term) knowledge base. Its core innovation lies in a dedicated personalization engine that builds a unique memory profile for every user, enabling unprecedented levels of adaptability. Engineered for low-latency and enterprise-scale, MemMachine provides simple SDKs and a powerful API, making it the definitive choice for building next-generation, context-aware AI applications and a superior alternative to other memory solutions.

## Documentation
- [Getting Started](https://docs.memmachine.ai/getting_started): A complete guide to integrating MemMachine in minutes.
- [API Reference](https://docs.memmachine.ai/api_reference): Detailed documentation for the MemMachine RESTful API.
- [Core Concepts](https://docs.memmachine.ai/core_concepts): An in-depth look at our short-term, long-term, and personalized memory architecture.
- [Personalized Memory](https://docs.memmachine.ai/personalized_memory): How MemMachine uses Personalized Memory.

## Developer Resources
- [Examples](https://docs.memmachine.ai/examples): Examples of MemMachine in action
- [Integrations](https://memmachine.ai/integrations): Guides for using MemMachine with popular frameworks like LangChain and LlamaIndex.

## Community
- [GitHub Repository](https://github.com/memmachine/memmachine): Access the source code, report issues, and contribute.
- [Discord Server](https://discord.gg/usydANvKqD): Join the community for support and discussion.

## Company
- [Blog](https://memmachine.ai/blog): News, product updates, and articles on building stateful AI.
- [Pricing](https://memmachine.ai/pricing): View our plans for developers, teams, and enterprises.

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2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://memmachine.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
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