by aiming-lab · MCP Server · ★ 3.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Efficient Lifelong Memory for LLM Agents — Text & Multimodal Store, compress, and retrieve long-term memories with semantic lossless compression. Now with multimodal support for text, image, audio & video. Works with any AI platform that supports MCP (text memory) or Python integration (full multimodal) Claude Desktop Cursor LM Studio <a hr
| Stars | 3,330 |
| Forks | 338 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 34.25/100 |
| Open Issues | 12 |
| Last Updated | 2026-05-21 |
| Created | 2026-01-01 |
| Platforms | mcp, python |
| Est. Tokens | ~2161k |
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Explore other popular mcp server tools:
SimpleMem is SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal. It is categorized as a MCP Server with 3.3k 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 3.3k stars and 338 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, mcp-memory-service, antigravity-workspace-template. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.