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
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.
- highreadme#1Reposition README's opening sentence to clarify its role as an AI agent framework
Why:
CURRENTfast-agent is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform.
COPY-PASTE FIXfast-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#2Expand GitHub topics with broader AI agent framework terms
Why:
CURRENTacp, agent, agent-framework, agent-skills, cli, mcp, mcp-client, mcp-server, python, skills, tui
COPY-PASTE FIXacp, 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#3Add 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.
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- OpenAI Assistants API · recommended 2×
- CrewAI · recommended 2×
- AutoGPT · recommended 1×
- CATEGORY QUERYHow can I build and evaluate AI agents for coding tasks and development workflows?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- AutoGPT
- AgentGPT
- OpenAI Assistants API
- CrewAI
- MetaGPT
AI recommended 7 alternatives but never named evalstate/fast-agent. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help manage LLM agent skills and facilitate multi-agent communication with various models?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- AutoGen
- CrewAI
- Haystack
- Marvin
- 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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
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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