An agentic memory system that enables AI assistants to store, search, and manage persistent memories with semantic understanding using natural language instructions.
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
Associative key-graph memory for LLM agents — recall facts by association (recall → read_key → read_memory) instead of vector similarity alone, with persistent cross-session memory and cross-lingual keys.
Cross-tool memory for AI that enables deterministic recall-first memory across multiple tools (Claude Code, Desktop, ChatGPT, etc.) with honest abstention when it doesn't know.
Persistent, cross-tool memory for AI coding assistants, enabling context retention across sessions, tools, and devices with a three-tier memory model and hybrid search.