SimpleMem

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SimpleMem is an AI Agents & Automation tool that provides efficient lifelong memory for LLM agents. It stores, compresses, and retrieves long-term memories with semantic lossless compression, now supporting text, image, audio, and video.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is SimpleMem?

SimpleMem is an advanced memory framework designed for LLM agents, offering efficient lifelong memory capabilities for both text and multimodal data. It employs semantic lossless compression to store, compress, and retrieve long-term memories, ensuring high information density and token utilization. The system features a three-stage pipeline: Semantic Structured Compression, Online Semantic Synthesis, and Intent-Aware Retrieval Planning. Omni-SimpleMem extends these capabilities to include image, audio, and video, achieving state-of-the-art performance on benchmarks like LoCoMo and Mem-Gallery. It supports cross-session memory, allowing agents to recall context and learnings across conversations, and integrates with platforms like Claude, Cursor, and LM Studio via MCP or Python.

Best used for

Ideal for developers and data scientists who need to implement efficient long-term memory for their LLM agents, integrate multimodal data (text, image, audio, video), and ensure persistent context across sessions. Especially valuable for building sophisticated AI agents that require robust and scalable memory management.

Common actions

manage agent memory

store multimodal data

retrieve relevant context

enhance LLM agents

face swapping"AI Agents"workflowsgithub copilotautomated workflowcollaborationlow-code/no-codedeepfakeopen-source

Capabilities

Key features

Semantic lossless compression
Multimodal memory support
Cross-session memory
Parallel processing
Intent-aware retrieval planning
MCP server integration
Local memory storage

Target Audience

developerdata scientiststartup founder

Integrations

claudecursorlm-studiocherry-studio

Pricing & Plans

Open Source

Free

FAQs

What types of data can SimpleMem store and retrieve?

SimpleMem supports both text and multimodal data, including images, audio, and video. Its Omni-SimpleMem extension provides unified memory capabilities across these different modalities, allowing LLM agents to process and recall diverse information types.

Does SimpleMem retain memory across different conversations or sessions?

Yes, SimpleMem supports cross-session memory. This feature allows LLM agents to automatically recall context, decisions, and learnings from previous interactions, significantly boosting performance on benchmarks like LoCoMo compared to other memory systems.

How does SimpleMem ensure efficient memory retrieval for LLM agents?

SimpleMem uses an Intent-Aware Retrieval Planning module that infers search intent to dynamically determine retrieval scope and depth. It executes parallel multi-view retrieval across semantic, lexical, and symbolic indexes, ensuring precise and token-efficient context construction.

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Research & Education › Knowledge Management Coding & Development › Open Source & Models

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