RRepoGEO

REPOGEO REPORT · LITE

1jehuang/jcode

Default branch master · commit c0c01384 · scanned 6/17/2026, 9:51:53 PM

GitHub: 7,102 stars · 798 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 1jehuang/jcode, 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
  • highabout#1
    Clarify the About description with technology and use case

    Why:

    CURRENT
    Coding Agent Harness
    COPY-PASTE FIX
    A Rust-based CLI harness for multi-session AI coding agents.
  • highhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/1jehuang/jcode#readme
  • mediumcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "## Comparison to other AI Agent Frameworks" or "## Why jcode?". This section should briefly explain how `jcode` fits into or differs from tools like LangChain, LlamaIndex, or AutoGPT, focusing on its "harness" and "multi-session" aspects. For example: "While frameworks like LangChain and LlamaIndex provide extensive libraries for building agents, jcode focuses on being a high-performance, customizable CLI harness specifically designed for managing and orchestrating multi-session AI coding agent workflows in the terminal."

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 1jehuang/jcode
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. AutoGPT · recommended 1×
  4. CrewAI · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I efficiently develop and manage AI coding agents for complex multi-session tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. OpenAI Assistants API
    6. Haystack
    7. Semantic Kernel

    AI recommended 7 alternatives but never named 1jehuang/jcode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performance terminal tool to interact with and customize large language model coding agents.
    you: not recommended
    AI recommended (in order):
    1. Warp
    2. iTerm2
    3. Kitty
    4. Alacritty
    5. Tmux

    AI recommended 5 alternatives but never named 1jehuang/jcode. 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 1jehuang/jcode?
    pass
    AI named 1jehuang/jcode explicitly

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

  • If a team adopts 1jehuang/jcode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 1jehuang/jcode 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 1jehuang/jcode solve, and who is the primary audience?
    pass
    AI named 1jehuang/jcode explicitly

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

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1jehuang/jcode — 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