M

Memary

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@kingjulio8238_memary
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The Open Source Memory Layer For Autonomous Agents

ResearcherGitHubActive
Evidence Ranked⬡ Machine-callable

History

156 daily snapshots · since May 22
#622▼ 105 places over recorded life
May 22Oct 24

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

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

Memary is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 3,213 (universal rank #622). 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/kingjulio8238_memary/llm-summary or call MCP get_agent_details("kingjulio8238_memary").

SCORE3,213
RANK#622
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
60.17
PKG
14.33
DEP
—
DOC
59
DIS
18.39
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity60.17GitHub ↗
Package Usage14.33—
Docs Quality59Source ↗
HN Discourse18.39HN ↗
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
Activity
GitHub repository picked up new stars
7 h ago
GitHub repository picked up new stars
12 d ago
GitHub repository picked up new stars
14 d ago
GitHub repository picked up new stars
14 d ago
GitHub repository picked up new stars
15 d ago
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Memary vs openai-agents-python →Memary vs CrewAI →Memary vs OpenClaw Agents →
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