REPOGEO REPORT · LITE

supermemoryai/openclaw-supermemory

Default branch main · commit f93148a8 · scanned 6/17/2026, 8:58:01 AM

GitHub: 793 stars · 88 forks

AI VISIBILITY SCORE

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 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 supermemoryai/openclaw-supermemory, 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

Reposition README H1 and opening paragraph to clarify its role as an AI agent memory plugin

Why:

CURRENT

# OpenClaw Supermemory Plugin

Long-term memory for OpenClaw. Automatically remembers conversations, recalls relevant context, and builds a persistent user profile — all powered by Supermemory cloud. No local infrastructure required.

COPY-PASTE FIX

# OpenClaw Supermemory Plugin: Long-Term Memory for AI Agents

Provide your OpenClaw AI agent with persistent long-term memory and advanced recall capabilities. This plugin automatically remembers conversations, recalls relevant context, and builds a persistent user profile, all powered by Supermemory cloud without requiring local infrastructure.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root to clearly state the project's licensing terms.

mediumtopics#3

Expand repository topics to include broader AI agent and cloud solution categories

Why:

CURRENT

ai-memory, clawd, clawdbot, memory, moltbot, openai, openclaw

COPY-PASTE FIX

ai-memory, clawd, clawdbot, memory, moltbot, openai, openclaw, ai-agents, agent-memory, long-term-memory, conversational-ai, cloud-solution, llm-memory, user-profiling

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 supermemoryai/openclaw-supermemory

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PostgreSQL

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

PostgreSQL · recommended 2×
MongoDB · recommended 2×
Pinecone · recommended 1×
Redis · recommended 1×
Chroma · recommended 1×

CATEGORY QUERY
How can I provide long-term conversational memory and user profiling for my AI agents?
you: not recommended
AI recommended (in order):
1. Pinecone
2. Redis
3. PostgreSQL
4. MongoDB
5. Chroma
6. Weaviate
AI recommended 6 alternatives but never named supermemoryai/openclaw-supermemory. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are cloud-based solutions for automatically recalling and capturing AI agent interactions?
you: not recommended
AI recommended (in order):
1. Twilio Flex
2. Segment
3. Snowflake
4. Google BigQuery
5. Amazon Redshift
6. Genesys Cloud CX
7. Genesys AI Experience
8. Amazon Connect
9. Amazon Kinesis
10. Amazon S3
11. Amazon Athena
12. Amazon QuickSight
13. Google Contact Center AI Platform
14. Dialogflow
15. Google Cloud Storage
16. BigQuery
17. Zendesk
18. Sunshine Conversations
19. Intercom
20. PostgreSQL
21. MongoDB
AI recommended 21 alternatives but never named supermemoryai/openclaw-supermemory. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 supermemoryai/openclaw-supermemory?
pass
AI named supermemoryai/openclaw-supermemory explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts supermemoryai/openclaw-supermemory in production, what risks or prerequisites should they evaluate first?
pass
AI named supermemoryai/openclaw-supermemory 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 supermemoryai/openclaw-supermemory solve, and who is the primary audience?
pass
AI did not name supermemoryai/openclaw-supermemory — 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?

Embed your GEO score

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/supermemoryai/openclaw-supermemory"><img src="https://repogeo.com/badge/supermemoryai/openclaw-supermemory.svg" alt="RepoGEO" /></a>

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Brand-free category queries5 vs 2 in Lite
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