The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
A local-first memory layer for AI agents — turns the files on your machine into bounded, verifiable memory any assistant can query over MCP. On-device, no cloud.
Spatial Memory replaces standard cosine-similarity RAG with physics-inspired 8D manifold where memories and beliefs have: Mass — derived from confidence and affective encoding ; Temperature — recency heat that cools over time (Lorentzian decay); and Gravity — `F = T × m / d²` — hot, massive, nearby concepts pull attention
Hybrid semantic and keyword search over Oh My Pi session transcripts
MCP-powered inventory management system
Antes do Lançamento previsto para o final de Maio de 2026 , reuni diversas conversas com outras IAS para ver o que elas respondiam e depois pedia para comparar de maneira imparcial com o texto do Agente ARIEL , irei colocar algumas aqui
public releases, GitHub Pages site, public docs, installer scripts
Giving an AI agent a sleep cycle — a 9-stage pipeline that consolidates noisy daily observations into durable, evidence-backed beliefs and lessons instead of piling up logs forever.
OpenClaw skill for HyperMemory integration
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