#26 · Primary category: AI Agents & Automation

mem0

agents ai ai-agents application chatbots chatgpt genai llm long-term-memory memory memory-management python rag state-management

Universal memory layer for AI Agents

Project last updated:08/28/26

GitHub Stars

64.3K

Forks

7.5K

Contributors

399

License

Apache-2.0

Why we included this project

Most AI agents treat each conversation as a fresh start, which is why long-running assistants so often feel like they have amnesia. Mem0 gives them a persistent memory layer, so a support bot or personal assistant can recall what a user prefers, what they decided last week, and what they have already asked about, without you hand-building a retrieval pipeline. It works as a Python or TypeScript library you drop into an existing stack, or as a self-hosted server with a dashboard, and it connects to the LLM, embedder, and vector store you already run. The self-hosted option is worth noting if you want the data to stay on your own infrastructure. For teams building assistants, support bots, or personalization features, it takes the memory-management work off your plate and lets the agent actually recognize the person it is talking to.

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