by remete618 · MCP Server · ★ 49
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 | 49 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.9511385172192/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-09 |
| Created | 2026-03-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~20k |
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widemem-ai is Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware. It is categorized as a MCP Server with 49 GitHub stars.
widemem-ai is primarily written in Python. It covers topics such as agent-memory, ai-agent, ai-memory.
You can find installation instructions and usage details in the widemem-ai GitHub repository at github.com/remete618/widemem-ai. The project has 49 stars and 15 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.