widemem-ai
Active·★ 49·NOASSERTION·Updated 2026-10-19
widemem is an open-source AI memory layer that provides persistent, locally-stored memory with importance scoring, time decay, hierarchical recall, and YMYL prioritization. It resolves conflicts, admits uncertainty, and supports multiple LLM and embedding providers, making it ideal for building AI assistants that remember what matters.
#agent-memory#ai#ai-agent#ai-memory#ai-tools#anthropic#claude#claude-code
01
Features
01Batch conflict resolution: single LLM call for multiple fact updates
02Importance scoring (1-10) with configurable time decay (exponential, linear, step, none)
03Hierarchical memory: facts roll up into summaries, summaries into themes
04YMYL (Your Money or Your Life) prioritization for health, legal, and financial facts
05Uncertainty and confidence modes: strict, helpful, creative, with pinning and frustration recovery
02
Compatibility
Python
Python 3.10+
Verified via docs
OpenAI
OpenAI GPT
Verified via docs
Anthropic
Claude
Verified via docs
Ollama
Local LLM
Verified via docs
Sentence Transformers
Local Embeddings
Verified via docs
FAISS
Local Vector Store
Verified via docs
03
Quick start
1
$ pip install widemem-ai
04
Use cases
↳Chatbots and conversational AI with persistent, accurate memory
↳Personal assistants that remember user preferences, critical information, and life details
↳Healthcare, legal, or financial applications requiring reliable retention of important facts
05
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