RRepoGEO

REPOGEO REPORT · LITE

evalstate/fast-agent

Default branch main · commit 330ee590 · scanned 5/26/2026, 6:01:49 PM

GitHub: 3,793 stars · 404 forks

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 evalstate/fast-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's opening sentence to clarify its role as an AI agent framework

    Why:

    CURRENT
    fast-agent is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform.
    COPY-PASTE FIX
    fast-agent is a fast, lightweight, and extensible AI agent framework for building, coding, and evaluating LLM agents, offering a minimalist alternative to comprehensive frameworks like LangChain.
  • mediumtopics#2
    Expand GitHub topics with broader AI agent framework terms

    Why:

    CURRENT
    acp, agent, agent-framework, agent-skills, cli, mcp, mcp-client, mcp-server, python, skills, tui
    COPY-PASTE FIX
    acp, agent, agent-framework, agent-skills, cli, mcp, mcp-client, mcp-server, python, skills, tui, llm-agents, ai-agents, agent-orchestration, multi-agent-systems, agent-development
  • lowreadme#3
    Add a 'Why fast-agent?' section to highlight its core differentiators

    Why:

    COPY-PASTE FIX
    ## Why fast-agent?
    
    `fast-agent` stands out for its explicit focus on **speed, low latency, and a lightweight, minimalist design** for building LLM agents. Unlike more comprehensive frameworks, it prioritizes a simpler API and fewer dependencies to achieve high performance, making it ideal for developers who need efficient, high-throughput agent solutions.

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 evalstate/fast-agent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Assistants API · recommended 2×
  4. CrewAI · recommended 2×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I build and evaluate AI agents for coding tasks and development workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. AgentGPT
    5. OpenAI Assistants API
    6. CrewAI
    7. MetaGPT

    AI recommended 7 alternatives but never named evalstate/fast-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage LLM agent skills and facilitate multi-agent communication with various models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. Haystack
    6. Marvin
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named evalstate/fast-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
    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 evalstate/fast-agent?
    pass
    AI named evalstate/fast-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 evalstate/fast-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named evalstate/fast-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 evalstate/fast-agent solve, and who is the primary audience?
    pass
    AI named evalstate/fast-agent 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 evalstate/fast-agent. 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/evalstate/fast-agent.svg)](https://repogeo.com/en/r/evalstate/fast-agent)
HTML
<a href="https://repogeo.com/en/r/evalstate/fast-agent"><img src="https://repogeo.com/badge/evalstate/fast-agent.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

evalstate/fast-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