RRepoGEO

REPOGEO REPORT · LITE

Sheldenshi/gini-agent

Default branch main · commit 2065132e · scanned 6/27/2026, 10:22:02 PM

GitHub: 703 stars · 169 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 Sheldenshi/gini-agent, 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 H1 and opening paragraph

    Why:

    CURRENT
    # Gini Agent

Gini Agent is a personal agent that remembers, improves, and runs without forcing you to read a log line.

Gini is not just a chat box, CLI, messaging bot, or pile of tools. Chat is an interaction surface. The runtime is the system of record for conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health.
    COPY-PASTE FIX
    # Gini Agent: A Local-First Personal AI Agent Runtime (TypeScript, Bun, Next.js)

Gini Agent is a local-first, personal AI agent runtime built with TypeScript, Bun, and Next.js. It remembers, learns new skills, and runs without forcing you to read a log line. Unlike generic multi-agent frameworks or server monitoring tools, Gini focuses on being your private system of record for conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, and audit events.
  • mediumhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Add a URL to a dedicated project website or the documentation site (e.g., `https://gini-agent.dev` or `https://sheldenshi.github.io/gini-agent/`).
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, such as '## Comparison to Alternatives' or '## Why Gini Agent?', to explicitly outline how Gini Agent differs from projects like Open Interpreter, MemGPT, LlamaIndex, or LangChain.js, emphasizing its local-first, personal, TypeScript/Bun/Next.js runtime focus.

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 Sheldenshi/gini-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Open Interpreter
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Open Interpreter · recommended 1×
  2. MemGPT · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Llama.cpp · recommended 1×
  5. Ollama · recommended 1×
  • CATEGORY QUERY
    Looking for a local-first personal AI agent framework that can remember conversations and learn new skills.
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. MemGPT
    3. LlamaIndex
    4. Llama.cpp
    5. Ollama
    6. LangChain
    7. AutoGPT
    8. AgentGPT
    9. SuperAGI

    AI recommended 9 alternatives but never named Sheldenshi/gini-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an AI agent runtime with robust memory, task management, and skill learning in TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. LlamaIndex.TS (run-llama/LlamaIndexTS)
    3. Agent Protocol (AgentProtocol/AgentProtocol)
    4. PostgreSQL
    5. TypeORM (typeorm/typeorm)
    6. Prisma (prisma/prisma)
    7. Pinecone
    8. Qdrant (qdrant/qdrant)
    9. XState (statelyai/xstate)
    10. OpenAI API
    11. TensorFlow.js (tensorflow/tfjs)
    12. Autogen (microsoft/autogen)
    13. Pyodide (pyodide/pyodide)
    14. Node.js `child_process`
    15. Redis (redis/redis)
    16. Faiss (facebookresearch/faiss)
    17. HNSWLib.js (antonreshetov/hnswlib-node)
    18. BullMQ (taskforcesh/bullmq)
    19. Agenda (agenda/agenda)
    20. ONNX Runtime Web (microsoft/onnxruntime)

    AI recommended 20 alternatives but never named Sheldenshi/gini-agent. 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 Sheldenshi/gini-agent?
    pass
    AI named Sheldenshi/gini-agent explicitly

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

  • If a team adopts Sheldenshi/gini-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Sheldenshi/gini-agent 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 Sheldenshi/gini-agent solve, and who is the primary audience?
    pass
    AI did not name Sheldenshi/gini-agent — 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?

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Sheldenshi/gini-agent — 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