RRepoGEO

REPOGEO REPORT · LITE

Martian-Engineering/lossless-claw

Default branch main · commit 7f3285c6 · scanned 5/14/2026, 11:07:10 AM

GitHub: 4,639 stars · 395 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 Martian-Engineering/lossless-claw, 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
  • hightopics#1
    Add explicit topics to clarify the project's domain

    Why:

    COPY-PASTE FIX
    llm-agents, context-management, openclaw, large-language-models, ai-memory, summarization, dag
  • highabout#2
    Refine the 'About' description for clarity on LLM agent context management

    Why:

    CURRENT
    Lossless Claw — LCM (Lossless Context Management) plugin for OpenClaw
    COPY-PASTE FIX
    Lossless Context Management (LCM) plugin for OpenClaw LLM agents. Solves context window limits by preserving full conversation history via DAG-based summarization.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://martian-engineering.github.io/lossless-claw/

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 Martian-Engineering/lossless-claw
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. OpenAI API · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. Llama 3 · recommended 1×
  5. Hugging Face Inference Endpoints · recommended 1×
  • CATEGORY QUERY
    How to maintain full conversation history with large language models without exceeding context limits?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Llama 3
    4. Hugging Face Inference Endpoints
    5. Replicate
    6. Mistral Large/Small
    7. Pinecone
    8. Weaviate (weaviate/weaviate)
    9. Chroma (chroma-core/chroma)
    10. FAISS (Facebook AI Similarity Search) (facebookresearch/faiss)
    11. LangChain (langchain-ai/langchain)
    12. LlamaIndex (run-llama/llama_index)
    13. Google Gemini
    14. Redis (redis/redis)
    15. Neo4j (neo4j/neo4j)
    16. Vaticle's TypeDB (vaticle/typedb)
    17. SpaCy (explosion/spaCy)
    18. NLTK (nltk/nltk)

    AI recommended 18 alternatives but never named Martian-Engineering/lossless-claw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are alternatives to sliding window context for LLM agents that preserve full memory?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Milvus
    4. ChromaDB
    5. AutoGPT
    6. BabyAGI
    7. Neo4j
    8. ArangoDB
    9. Wikipedia API
    10. Google's "Generative Agents"

    AI recommended 10 alternatives but never named Martian-Engineering/lossless-claw. 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 Martian-Engineering/lossless-claw?
    pass
    AI did not name Martian-Engineering/lossless-claw — 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 Martian-Engineering/lossless-claw in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Martian-Engineering/lossless-claw 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 Martian-Engineering/lossless-claw solve, and who is the primary audience?
    pass
    AI named Martian-Engineering/lossless-claw explicitly

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

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Martian-Engineering/lossless-claw — 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