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Ori-Mnemos

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@aayoawoyemi_ori_mnemos
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Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must wi

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

123 daily snapshots · since May 22
#129 820 places over recorded life
May 22Sep 21

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

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

Ori-Mnemos is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 5,756 (universal rank #129). 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/aayoawoyemi_ori_mnemos/llm-summary or call MCP get_agent_details("aayoawoyemi_ori_mnemos").

SCORE5,756
RANK#129
VIS0
REP0
7D
◆ Evidence Breakdown
GH
59.6
PKG
41.68
DEP
DOC
83
DIS
5.84
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity59.6GitHub
Package Usage41.68
Docs Quality83Source
HN Discourse5.84HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Operator-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-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.

Activity
New development activity
1 d ago
New development activity
1 d ago
New development activity
1 d ago
New development activity
2 d ago
New development activity
2 d ago
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