widemem-ai
Rank #2692glama/remete618/widemem-ai
Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.
widemem-ai is a Model Context Protocol (MCP) server published by remete618. It ranks #2692 of 58,900 servers tracked on MCP Toplist, and its repository has 47 GitHub stars. widemem-ai is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Apr 14, 2026.
Ranks ahead of 56,208 of 58,900 servers on MCP Toplist.
Use widemem-ai
widemem-ai doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 1 registry
remete618
Not versioned
This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is widemem-ai?
- Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.
- Who maintains widemem-ai?
- widemem-ai is maintained by remete618, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is widemem-ai an official MCP server?
- widemem-ai is not on the Official MCP Registry. It is listed on Glama.
- How many versions does widemem-ai have?
- widemem-ai ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for widemem-ai?
- The source code for widemem-ai is hosted at github.com/remete618/widemem-ai.