RRepoGEO

REPOGEO REPORT · LITE

spacedriveapp/spacebot

Default branch main · commit ac522774 · scanned 7/1/2026, 3:06:40 AM

GitHub: 2,307 stars · 345 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 spacedriveapp/spacebot, 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 explicitly state project category and scope

    Why:

    CURRENT
    Spacebot is opinionated agent infrastructure, built for teams and usable by anyone. **State belongs in structured storage, not markdown files the LLM manages.** Memory lives in a typed graph in SQLite. Autonomy runs on a task state machine linked to goals, not a heartbeat.json. The LLM reasons. The system holds state.
    COPY-PASTE FIX
    Spacebot is an open-source **AI agent framework and infrastructure** designed for teams, communities, and multi-user environments. It provides opinionated agent infrastructure, built for teams and usable by anyone. Unlike generic bots or frameworks relying on unstructured memory, Spacebot ensures **state belongs in structured storage, not markdown files the LLM manages.** Memory lives in a typed graph in SQLite, and autonomy runs on a task state machine linked to goals. The LLM reasons; the system holds state.
  • mediumtopics#2
    Expand GitHub topics with more specific agent framework keywords

    Why:

    CURRENT
    agent, agentic, ai, automation, developer-tools, enterprise, messaging
    COPY-PASTE FIX
    agent, agentic, ai, automation, developer-tools, enterprise, messaging, agent-framework, ai-orchestration, structured-memory, multi-platform, workflow-automation
  • lowreadme#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License

Spacebot is licensed under [insert specific license name(s) here, e.g., the Apache 2.0 License and MIT License]. Please refer to the `LICENSE` file for full details.

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 spacedriveapp/spacebot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. AutoGPT · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What AI agent frameworks help automate tasks for teams across multiple chat platforms?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. AutoGPT
    5. CrewAI
    6. Haystack

    AI recommended 6 alternatives but never named spacedriveapp/spacebot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking agentic AI platforms with structured memory and state management for complex workflows.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. Microsoft Guidance (microsoft/guidance)
    5. Haystack (deepset-ai/haystack)
    6. OpenAI Assistants API
    7. CrewAI (joaomdmoura/crewAI)

    AI recommended 7 alternatives but never named spacedriveapp/spacebot. 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 spacedriveapp/spacebot?
    pass
    AI named spacedriveapp/spacebot explicitly

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

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

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

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spacedriveapp/spacebot — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite