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MemoryOS

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@bai_lab_memoryos
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[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agen

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

66 daily snapshots · since May 22
#400 228 places over recorded life
May 22Jul 26

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

MemoryOS is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 4,591 (universal rank #400). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/bai_lab_memoryos/llm-summary or call MCP get_agent_details("bai_lab_memoryos").

SCORE4,591
RANK#400
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity71.57GitHub
Docs Quality82Source
HN Discourse3.58HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Researcher-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
  • Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.well-known/x402· agent-card.json· mcp.json· openapi· robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
15 h ago
GitHub repository picked up new stars
3 d ago
GitHub repository picked up new stars
5 d ago
GitHub repository picked up new stars
7 d ago
GitHub repository picked up new stars
8 d ago
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