RRepoGEO

REPOGEO REPORT · LITE

mnemox-ai/tradememory-protocol

Default branch master · commit bc9cb0b1 · scanned 6/28/2026, 4:12:23 AM

GitHub: 1,377 stars · 163 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mnemox-ai/tradememory-protocol, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify TradeMemory's unique role in the README's opening paragraph

    Why:

    CURRENT
    The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts. **None handle memory.** Your agent can buy 100 shares of AAPL but can't answer: *"What happened last time I bought AAPL in this condition?"TradeMemory is the memory layer.** One `pip install`, and your AI agent remembers every trade, every outcome, every mistake — with SHA-256 tamper-proof audit trail.
    COPY-PASTE FIX
    The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts. **None handle memory.** Your agent can buy 100 shares of AAPL but can't answer: *"What happened last time I bought AAPL in this condition?"TradeMemory is the specialized memory and audit layer for AI trading agents.** Unlike generic databases, TradeMemory provides outcome-weighted recall and SHA-256 tamper detection, ensuring your AI agent remembers every trade, every outcome, every mistake — with a tamper-proof audit trail for regulatory compliance.
  • mediumreadme#2
    Add a 'Why not just use a database?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps titled 'Why not just use a database?' or 'TradeMemory vs. Generic Databases,' explaining how TradeMemory complements or extends generic data stores by offering domain-specific features like outcome-weighted recall, tamper-proof audit trails, and agent-centric memory management.
  • lowtopics#3
    Add more specific topics to reinforce the domain

    Why:

    CURRENT
    ai-agents, claude, crypto, evolution-engine, forex, mcp, mcp-server, memory, mt5, outcome-weighted-memory, trading
    COPY-PASTE FIX
    ai-trading, audit-trail, regulatory-compliance, ai-agents, claude, crypto, evolution-engine, forex, mcp, mcp-server, memory, mt5, outcome-weighted-memory, trading

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface mnemox-ai/tradememory-protocol
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PostgreSQL
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PostgreSQL · recommended 1×
  2. MongoDB · recommended 1×
  3. Apache Cassandra · recommended 1×
  4. redis/redis · recommended 1×
  5. SQLite · recommended 1×
  • CATEGORY QUERY
    How to implement persistent memory and decision logging for AI trading agents?
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL
    2. MongoDB
    3. Apache Cassandra
    4. Redis (redis/redis)
    5. SQLite
    6. Elasticsearch (elastic/elasticsearch)

    AI recommended 6 alternatives but never named mnemox-ai/tradememory-protocol. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for regulatory compliant audit trails and outcome-weighted recall in AI trading systems?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. AWS Audit Manager
    3. Amazon S3
    4. Amazon SageMaker
    5. BigQuery
    6. Cloud Audit Logs
    7. Vertex AI
    8. Azure Purview
    9. Azure Data Lake Storage Gen2
    10. Azure Machine Learning
    11. Splunk Enterprise Security
    12. Elasticsearch
    13. Logstash
    14. Kibana
    15. DVC (Data Version Control)
    16. Git

    AI recommended 16 alternatives but never named mnemox-ai/tradememory-protocol. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of mnemox-ai/tradememory-protocol?
    pass
    AI did not name mnemox-ai/tradememory-protocol — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts mnemox-ai/tradememory-protocol in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mnemox-ai/tradememory-protocol explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo mnemox-ai/tradememory-protocol solve, and who is the primary audience?
    pass
    AI did not name mnemox-ai/tradememory-protocol — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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mnemox-ai/tradememory-protocol — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite