RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langmem

Default branch main · commit 153db820 · scanned 5/18/2026, 1:17:57 AM

GitHub: 1,453 stars · 167 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
35 /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
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 langchain-ai/langmem, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    A framework-agnostic library for AI agents to learn, adapt, and manage long-term memory, integrating with any storage system or LLM framework.
  • mediumreadme#2
    Strengthen the README's opening to clarify LangMem's role as an agent memory layer

    Why:

    CURRENT
    # LangMem

LangMem helps agents learn and adapt from their interactions over time.

It provides tooling to extract important information from conversations, optimize agent behavior through prompt refinement, and maintain long-term memory.

It offers both functional primitives you can use with any storage system and native integration with LangGraph's storage layer.

This lets your agents continuously improve, personalize their responses, and maintain consistent behavior across sessions.
    COPY-PASTE FIX
    # LangMem

LangMem is a dedicated library for building AI agents with robust long-term memory and continuous learning capabilities. Unlike general LLM frameworks or raw vector databases, LangMem provides a specialized layer for agents to learn and adapt from their interactions over time.

It offers tooling to extract important information from conversations, optimize agent behavior through prompt refinement, and maintain long-term memory. LangMem provides both functional primitives compatible with any storage system and native integration with LangGraph's storage layer, enabling agents to continuously improve, personalize responses, and maintain consistent behavior across sessions.

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 langchain-ai/langmem
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 1×
  2. weaviate/weaviate · recommended 1×
  3. chroma-core/chroma · recommended 1×
  4. milvus-io/milvus · recommended 1×
  5. neo4j/neo4j · recommended 1×
  • CATEGORY QUERY
    How can I give my AI agent long-term memory and continuous learning capabilities?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate (weaviate/weaviate)
    3. Chroma (chroma-core/chroma)
    4. Milvus (milvus-io/milvus)
    5. Neo4j (neo4j/neo4j)
    6. Amazon Neptune
    7. Ray RLlib (ray-project/ray)
    8. Stable Baselines3 (DLR-RM/stable-baselines3)
    9. PostgreSQL
    10. MongoDB

    AI recommended 10 alternatives but never named langchain-ai/langmem. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help conversational AI agents refine prompts and manage session history?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Haystack
    5. Voiceflow
    6. Botpress
    7. Guidance

    AI recommended 7 alternatives but never named langchain-ai/langmem. 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 langchain-ai/langmem?
    pass
    AI named langchain-ai/langmem explicitly

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

  • If a team adopts langchain-ai/langmem in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langmem 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 langchain-ai/langmem solve, and who is the primary audience?
    pass
    AI named langchain-ai/langmem 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 langchain-ai/langmem. 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/langchain-ai/langmem.svg)](https://repogeo.com/en/r/langchain-ai/langmem)
HTML
<a href="https://repogeo.com/en/r/langchain-ai/langmem"><img src="https://repogeo.com/badge/langchain-ai/langmem.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

langchain-ai/langmem — 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