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Ori-MnemosUnclaimed
@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
◆ 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 (universal rank #982). 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").

SCORE
RANK#982
VIS0
REP0
7D
◆ Evidence Breakdown
GH
51.99
PKG
37.36
DEP
DOC
83
DIS
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity51.99GitHub
Package Usage37.36
Docs Quality83Source
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
GitHub repository picked up new stars
2 d ago
GitHub repository picked up new stars
5 d ago
GitHub repository picked up new stars
10 d ago
GitHub repository picked up new stars
12 d ago
GitHub repository picked up new stars
15 d ago
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