aiming-lab/SimpleMem

Health v2 · maintenance only

Adoption not part of the score

3821 stars · 401 forks observed · 2026-10-06

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SimpleMem is a Python library and MCP server that provides efficient lifelong memory for LLM agents, storing, compressing, and retrieving long-term memories with semantic lossless compression. It supports text as well as multimodal inputs (image, audio, video) and integrates with any MCP-compatible client such as Claude Desktop, Cursor, and LM Studio.

Use cases

• give my llm agent long-term memory across sessions
• add persistent memory to a chatbot
• store and retrieve conversation history for an ai assistant
• compress agent memories without losing semantics
• add multimodal memory for images, audio and video to an agent
• run a memory mcp server for claude desktop or cursor
• build a rag pipeline with semantic memory retrieval

When to choose

• you need persistent, retrievable long-term memory for LLM agents
• you want MCP integration with clients like Claude Desktop or Cursor
• you need multimodal memory support beyond plain text
• you want a lightweight Python package with MIT licensing

When to avoid

• you only need short-term in-context memory within a single session
• you need a fully managed hosted memory service rather than self-hosted components
• your project is not Python-based and does not support MCP

Facets

library · maturity active

rag vector-database search-engine mcp agent-framework llm-inference compression large-language-models artificial-intelligence developer-tools python cross-platform self-hosted lifelong-memory semantic-search multimodal knowledge-graph agent-memory mcp-server memory-management ai-agents retrieval-augmented-generation natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="aiming-lab/SimpleMem")