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SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
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dockeragent-appPythonvisionvideoaudioagentmemorysemantic-searchknowledge-graphcompressionragretrievalsimplememlifelong-memorymcpmultimodalllmpython
SimpleMem is a Python project providing lifelong memory for LLM agents, covering both text and multimodal content (audio, video, vision). Its topics indicate it combines retrieval, semantic search, knowledge graphs, and compression, and it ships with an MCP integration and Docker tooling under an MIT license.
Reach for it when your LLM agent needs persistent, retrievable memory across a session lifetime, including multimodal inputs.
Use it to
- Add long-term memory to an LLM agent
- Index and retrieve multimodal content
- Expose memory to agents via MCP
- Run memory service in Docker
- Build semantic search over agent history
For Developers building agents that need persistent memory
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 394
- Open issues
- 3
- Last push
- 2026-07-24
- Latest release
- v0.1.0 · 2026-03-10
topicsllm-agentsmemoryretrievalmultimodalknowledge-graphmcp