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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

170 daily snapshots · since May 22
#580▲ 369 places over recorded life
May 22Nov 7

⚓ 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 3,963 (universal rank #580). 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").

SCORE3,963
RANK#580
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
52.72
PKG
36.95
DEP
—
DOC
86
DIS
5.84
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity52.72GitHub ↗
Package Usage36.95—
Docs Quality86Source ↗
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
GitHub repository picked up new stars
7 d ago
GitHub repository picked up new stars
9 d ago
GitHub repository picked up new stars
11 d ago
GitHub repository picked up new stars
15 d ago
GitHub repository picked up new stars
26 d ago
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