RRepoGEO

REPOGEO REPORT · LITE

getzep/zep

Default branch main · commit faf2acec · scanned 5/30/2026, 3:06:17 AM

GitHub: 4,622 stars · 631 forks

AI VISIBILITY SCORE
40 /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
3 / 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 getzep/zep, 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
  • highabout#1
    Update the repository description to be more specific

    Why:

    CURRENT
    Zep | Examples, Integrations, & More
    COPY-PASTE FIX
    Zep: End-to-end context engineering platform for AI agents, assembling relationship-aware context from chat history, business data, and events.
  • hightopics#2
    Add more specific topics for LLM agent context and memory

    Why:

    CURRENT
    ai, knowledge-graphs, language-model, llm
    COPY-PASTE FIX
    llm-memory, agent-context, conversational-ai, rag-system, knowledge-graph, llm, ai
  • mediumreadme#3
    Improve the README's H2 to reinforce Zep's core problem-solving

    Why:

    CURRENT
    <h2 align="center">Examples, Integrations, & More</h2>
    COPY-PASTE FIX
    <h2 align="center">Solving the Agent Context Problem for LLMs</h2>

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 getzep/zep
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. redis/redis · recommended 1×
  4. PostgreSQL · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I manage and retrieve dynamic conversational context for my LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Redis (redis/redis)
    4. PostgreSQL
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Qdrant (qdrant/qdrant)
    8. Faiss (facebookresearch/faiss)
    9. Annoy (spotify/annoy)

    AI recommended 9 alternatives but never named getzep/zep. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build a relationship-aware knowledge graph for AI agent context engineering?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Grakn (now Vaticle's TypeDB)
    3. Amazon Neptune
    4. ArangoDB
    5. RDFox
    6. Stardog
    7. GraphDB (Ontotext)

    AI recommended 7 alternatives but never named getzep/zep. 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 getzep/zep?
    pass
    AI named getzep/zep explicitly

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

  • If a team adopts getzep/zep in production, what risks or prerequisites should they evaluate first?
    pass
    AI named getzep/zep 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 getzep/zep solve, and who is the primary audience?
    pass
    AI named getzep/zep explicitly

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

Embed your GEO score

Drop this badge into the README of getzep/zep. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/getzep/zep.svg)](https://repogeo.com/en/r/getzep/zep)
HTML
<a href="https://repogeo.com/en/r/getzep/zep"><img src="https://repogeo.com/badge/getzep/zep.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

getzep/zep — 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