RRepoGEO

REPOGEO REPORT · LITE

rohitg00/agentmemory

Default branch main · commit f6f9e3cb · scanned 6/23/2026, 12:11:50 AM

GitHub: 23,707 stars · 1,951 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)

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

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 rohitg00/agentmemory, 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 specialized role

    Why:

    CURRENT
    Your coding agent remembers everything. No more re-explaining. Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.
    COPY-PASTE FIX
    Your coding agent remembers everything. No more re-explaining. Built on iii engine. This library provides a dedicated, benchmarked memory layer specifically engineered for AI coding agents, abstracting away the complexities of underlying storage solutions like vector databases to ensure seamless context persistence. It offers persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.
  • mediumtopics#2
    Add more specific topics to highlight its function and target

    Why:

    CURRENT
    agentmemory, agents, ai, claude, claudecode, codex, copilot, cursor, genai, harness, hermes, memory, openclaw
    COPY-PASTE FIX
    agentmemory, agents, ai, claude, claudecode, codex, copilot, cursor, genai, harness, hermes, memory, openclaw, ai-agents, llm-memory, coding-ai, agent-memory-management, developer-tools, ai-developer-tools, long-term-memory
  • lowreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'How `agentmemory` Compares' or 'Why `agentmemory`?' that directly addresses its relationship to and differentiation from generic vector databases and agent frameworks. For example, 'While vector databases like Pinecone or Chroma provide raw storage, `agentmemory` is a higher-level library specifically designed to manage and optimize memory for AI coding agents, offering structured context, retrieval strategies, and integration with various coding assistants.'

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 rohitg00/agentmemory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Chroma · recommended 2×
  3. Weaviate · recommended 2×
  4. PostgreSQL · recommended 2×
  5. Redis · recommended 2×
  • CATEGORY QUERY
    How can I give my AI coding assistant persistent memory to avoid re-explaining tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Chroma
    4. Weaviate
    5. LlamaIndex
    6. OpenAI Embeddings
    7. GPT-3.5 Turbo
    8. Llama 2
    9. PostgreSQL
    10. SQLite
    11. Redis
    12. DynamoDB

    AI recommended 12 alternatives but never named rohitg00/agentmemory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What solutions provide long-term memory for my generative AI coding tools and agents?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Chroma
    5. Redis
    6. PostgreSQL
    7. Milvus

    AI recommended 7 alternatives but never named rohitg00/agentmemory. 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 rohitg00/agentmemory?
    pass
    AI named rohitg00/agentmemory explicitly

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

  • If a team adopts rohitg00/agentmemory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rohitg00/agentmemory 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 rohitg00/agentmemory solve, and who is the primary audience?
    pass
    AI named rohitg00/agentmemory explicitly

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

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rohitg00/agentmemory — 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