Graph-based context-tracking and prompt-lineage database for LLM systems
LLM provider abstraction for Nexus Memory System
LLM-powered memory extraction engine for MenteDB
Persistent AI memory system with spatial metaphor (Wing/Hall/Room), content fingerprinting, cross-session learning, and LLM extraction
LLM memory management for edge AI with small models
CLI management tool for the Mnemo LLM memory proxy
LLM-facing memory tools for harness-rs agents: `remember_this`, `forget_memory`, `list_memories`. Backed by any `Arc<dyn Memory>` — wire per-user via a factory closure for multi-tenant apps.
AI-agnostic persistent memory system — MCP server, HTTP API, and CLI for any AI platform
Memory lifecycle, salience, decay policies, and contradiction objects.
A transparent HTTP proxy that gives your LLM long-term memory
Rexis - Agentic AI Framework for Rust with memory-first agents, RAG, and graph orchestration
Memory library for AI agents with deterministic simulation testing
LLM Memory is a Ruby gem designed to provide large language models (LLMs) like ChatGPT with memory using in-context learning. This enables better integration with systems such as Rails and web services while providing a more user-friendly and abstract interface based on brain terms.
Loading data from GMail using API
A Ruby plugin for the llm_memory gem which allows it to use a pgvector-powered Postgres database as a vector store.
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