RRepoGEO

REPOGEO REPORT · LITE

rohitg00/agentmemory

Default branch main · commit 292e9f6a · scanned 5/12/2026, 3:47:13 PM

GitHub: 5,502 stars · 521 forks

AI VISIBILITY SCORE
33 /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
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 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 README opening to clearly state its unique value for AI coding agents

    Why:

    CURRENT
    Your coding agent remembers everything. No more re-explaining. Built on iii engine Persistent memory for Claude Code, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.
    COPY-PASTE FIX
    AgentMemory provides the #1 persistent memory solution specifically designed for AI coding agents, enabling them to remember everything without re-explaining. Unlike generic vector databases or broad AI frameworks, AgentMemory offers a lightweight, unified API that abstracts away underlying memory stores (like Chroma, Pinecone, or FAISS) and provides a consistent interface for various memory types, tailored for clients such as Claude Code, Cursor, Gemini CLI, and OpenCode.
  • mediumtopics#2
    Add more specific topics to clarify the project's niche

    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-coding-agents, llm-memory, memory-abstraction
  • lowcomparison#3
    Add a 'Why AgentMemory?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why AgentMemory?
AgentMemory stands out by providing a unified, lightweight API for persistent memory specifically for AI coding agents. Unlike general-purpose vector databases (e.g., Pinecone, Weaviate, Chroma) or broad AI frameworks (e.g., LangChain) that require significant setup and integration, AgentMemory abstracts away the underlying memory infrastructure. This allows developers to focus on agent logic, offering a consistent interface for various memory types (episodic, declarative, procedural) tailored for seamless integration with tools like Claude Code, Cursor, and OpenCode.

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. Redis · recommended 2×
  3. LangChain · recommended 1×
  4. Weaviate · recommended 1×
  5. Chroma · recommended 1×
  • 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. Weaviate
    4. Chroma
    5. LlamaIndex
    6. FAISS
    7. Milvus
    8. Qdrant
    9. PostgreSQL
    10. pgvector
    11. Elasticsearch
    12. Redis
    13. Redis Stack
    14. RedisJSON
    15. RediSearch
    16. RedisGears
    17. Redis
    18. DynamoDB

    AI recommended 18 alternatives but never named rohitg00/agentmemory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What solutions exist for providing long-term, reliable memory to autonomous AI development agents?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate (weaviate/weaviate)
    3. Chroma (chroma-core/chroma)
    4. Redis (redis/redis)
    5. PostgreSQL (pgvector/pgvector)
    6. Milvus (milvus-io/milvus)
    7. Elasticsearch (elastic/elasticsearch)

    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 did not name rohitg00/agentmemory — 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 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