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AtlasRepo

XortexAI/XMem — Xmem is a India's First multi-modal, multi-agentic long‑term memory layer for AI agents.

Description and use

XMem is India’s first open‑source, multi‑modal, multi‑agent long‑term memory layer designed to empower AI agents with persistent, context‑aware knowledge across interactions. It provides a unified orchestration framework that seamlessly integrates visual, textual, and other data modalities, enabling agents to retrieve and update memories over extended time spans. Ideal for developers building sophisticated, memory‑driven AI applications, XMem bridges the gap between raw data and actionable intelligence.

Problem

XortexAI/XMem helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

  • coordinate multi-agent workflows
  • add tool-use pipelines
  • standardize agent memory

Evidence

Xmem is a India's First multi-modal, multi-agentic long‑term memory layer for AI agents.

Source

  • Record date: 2026-09-11T15:20:12.406Z