REPOGEO REPORT · LITE

TencentCloud/TencentDB-Agent-Memory

Default branch main · commit 32ba4d30 · scanned 6/4/2026, 5:27:20 AM

GitHub: 4,757 stars · 400 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 TencentCloud/TencentDB-Agent-Memory, 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 the README's opening to clarify its AI agent memory purpose

Why:

CURRENT

### Agents remember,Humans innovate.

COPY-PASTE FIX

### TencentDB Agent Memory: Local Long-Term Memory for AI Agents

Agents remember, Humans innovate.

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies. It provides symbolic short-term memory + layered long-term memory, distilling fragmented conversations into structured personas and scenes, instead of flat vector piles.

highabout#2
Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://github.com/TencentCloud/TencentDB-Agent-Memory
```

mediumreadme#3

Clarify the existing license(s) directly in the README

Why:

COPY-PASTE FIX

## License
This project includes a LICENSE file that outlines the terms of use. Please refer to the LICENSE file for specific details regarding the applicable license(s).

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 TencentCloud/TencentDB-Agent-Memory

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

SQLite

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

SQLite · recommended 1×
DuckDB · recommended 1×
ChromaDB · recommended 1×
Faiss · recommended 1×
HDF5 · recommended 1×

CATEGORY QUERY
How to build local long-term memory for AI agents without external API dependencies?
you: not recommended
AI recommended (in order):
1. SQLite
2. DuckDB
3. ChromaDB
4. Faiss
5. HDF5
6. Pickle
7. JSON
8. Shelve
AI recommended 8 alternatives but never named TencentCloud/TencentDB-Agent-Memory. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What solutions provide efficient long-term memory for LLM agents to reduce token costs?
you: not recommended
AI recommended (in order):
1. Pinecone
2. Weaviate
3. Qdrant
4. Chroma
5. Redis
6. PostgreSQL
AI recommended 6 alternatives but never named TencentCloud/TencentDB-Agent-Memory. 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 TencentCloud/TencentDB-Agent-Memory?
pass
AI named TencentCloud/TencentDB-Agent-Memory explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts TencentCloud/TencentDB-Agent-Memory in production, what risks or prerequisites should they evaluate first?
pass
AI named TencentCloud/TencentDB-Agent-Memory 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 TencentCloud/TencentDB-Agent-Memory solve, and who is the primary audience?
pass
AI did not name TencentCloud/TencentDB-Agent-Memory — 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)

[![RepoGEO](https://repogeo.com/badge/TencentCloud/TencentDB-Agent-Memory.svg)](https://repogeo.com/en/r/TencentCloud/TencentDB-Agent-Memory)

HTML

<a href="https://repogeo.com/en/r/TencentCloud/TencentDB-Agent-Memory"><img src="https://repogeo.com/badge/TencentCloud/TencentDB-Agent-Memory.svg" alt="RepoGEO" /></a>

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TencentCloud/TencentDB-Agent-Memory — 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