widemem.ai Goldfish memory? ¬¬ Fixed. Background reading: Whitepaper: How LLMs Handle Memory. Technical paper on memory architectures, security risks, and in-weights personalisation. Why Context Windows Aren't Memory. Th
| Stars | 47 |
| Forks | 14 |
| Language | Python |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 55.676/100 |
| Open Issues | 6 |
| Last Updated | 2026-06-14 |
| Created | 2026-03-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~20k |
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widemem-ai is Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization. It is categorized as a MCP 服务器 with 47 GitHub stars.
widemem-ai is primarily written in Python. It covers topics such as agent-memory, ai, ai-agent.
You can find installation instructions and usage details in the widemem-ai GitHub repository at github.com/remete618/widemem-ai. The project has 47 stars and 14 forks, indicating an active community.
widemem-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.