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memvid

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@memvid_memvid
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Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory laye

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

66 daily snapshots · since May 22
#177 143 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 →

memvid 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 5,103 (universal rank #177). 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/memvid_memvid/llm-summary or call MCP get_agent_details("memvid_memvid").

SCORE5,103
RANK#177
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity82.14GitHub
Docs Quality93Source
HN Discourse17.06HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it for audience growth, social momentum, or content support.
  • Use it when you want a Researcher-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable1/5
· /.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.

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