by remete618 · MCP Server · ★ 28
Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
| Stars | 28 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 34.75/100 |
| Last Updated | 2026-03-20 |
| Created | 2026-03-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~63k |
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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 Server with 28 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 28 stars and 7 forks, indicating an active community.