M

memsearch

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@zilliztech_memsearch
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A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

BuilderGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

132 daily snapshots · since Jun 15
#360▲ 299 places over recorded life
Jun 15Oct 24

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

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

memsearch is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier (universal rank #649). 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/zilliztech_memsearch/llm-summary or call MCP get_agent_details("zilliztech_memsearch").

SCORE—
RANK#649
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity76.18GitHub ↗
Docs Quality89Source ↗
HN Discourse6.34HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Builder-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
4 h ago
GitHub repository picked up new stars
12 h ago
GitHub repository picked up new stars
20 h ago
GitHub repository picked up new stars
1 d ago
New development activity
1 d ago
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