by aiming-lab · MCP Server · ★ 3.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
| Stars | 3,163 |
| Forks | 304 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 34.25/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-04 |
| Created | 2026-01-01 |
| Platforms | mcp, python |
| Est. Tokens | ~2150k |
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SimpleMem is SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal. It is categorized as a MCP Server with 3.2k GitHub stars.
SimpleMem is primarily written in Python. It covers topics such as agent, audio, compression.
You can find installation instructions and usage details in the SimpleMem GitHub repository at github.com/aiming-lab/SimpleMem. The project has 3.2k stars and 304 forks, indicating an active community.
SimpleMem is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SimpleMem on Agent Skills Hub include code-graph-rag, headroom, m_flow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.