widemem.ai

none★ 45development

Open-source AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

Install

How to run this server

[ { "cmd": "pip install widemem-ai[faiss]", "imports": [] } ]

server path: widemem-ai

Tools

What this server exposes

batch_conflict_resolution

Single LLM call for all facts vs. existing memories, reducing N facts to 1 API call.

importance_and_decay

Facts rated 1-10 with exponential/linear/step decay, ensuring old trivia fades while critical facts persist.

hierarchical_memory

Facts roll up into summaries and themes, auto-routed for broad or specific queries.

active_retrieval

Contradiction detection plus clarifying questions to resolve conflicting memories.

ymyl_prioritization

Health, legal, and financial facts receive higher importance floors, immunity from decay, and forced contradiction detection.

confidence_and_abstention

Returns confidence level (HIGH/MODERATE/LOW/NONE) for every retrieval, allowing agents to abstain instead of guessing.

retrieval_modes

Three modes (strict, helpful, creative) for handling low-confidence memory misses, enabling appropriate agent behavior.

Configuration

Environment & auth

authnone

envQDRANT_URL

Resources