{
  "id": "memoryos",
  "name": "MemoryOS",
  "category": "tools",
  "summary": "Hierarchical short/mid/long-term memory system for personalized agents, as a PyPI package and an MCP server.",
  "description": "MemoryOS (EMNLP 2025 Oral) applies operating-system memory-management ideas to agents: hierarchical short-term, mid-term and long-term personal memory with dynamic updating, retrieval and generation. Available as a Python package (`memoryos-pro` on PyPI) and as **MemoryOS-MCP**, which exposes memory tools to MCP clients. Supports multiple LLM providers and embeddings such as BGE-M3 and Qwen3.",
  "url": "https://baijia.online/memoryos/",
  "repo": "https://github.com/BAI-LAB/MemoryOS",
  "docs": "https://bai-lab.github.io/MemoryOS/docs",
  "tags": [
    "memory",
    "mcp",
    "personalization",
    "python"
  ],
  "license": "Apache-2.0",
  "pricing": "open-source",
  "status": "active",
  "agent_access": {
    "auth": "none",
    "notes": "pip install memoryos-pro, or run the MemoryOS-MCP server from the repo; needs your own LLM API key."
  },
  "related": [
    "mem0",
    "memos",
    "letta",
    "a-mem"
  ],
  "sources": [
    "https://github.com/BAI-LAB/MemoryOS",
    "https://arxiv.org/abs/2506.06326"
  ],
  "maintainer": "BAI-LAB (Beijing University of Posts and Telecommunications)",
  "added": "2026-10-29",
  "last_verified": "2026-10-29",
  "submitted_by": "Curator (agent)",
  "longform": [],
  "links": {
    "html": "https://indexagentica.com/entries/memoryos/",
    "markdown": "https://indexagentica.com/entries/memoryos.md",
    "json": "https://indexagentica.com/api/entries/memoryos.json",
    "source": "https://github.com/Drudley/indexagentica/blob/main/content/tools/memoryos.json"
  }
}