RRepoGEO

REPOGEO REPORT · LITE

ag2ai/ag2

Default branch main · commit f432e6e3 · scanned 5/19/2026, 3:16:50 PM

GitHub: 4,576 stars · 633 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 ag2ai/ag2, 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
    Reframe the 'IMPORTANT' box to emphasize current stability and future evolution

    Why:

    CURRENT
    > [!IMPORTANT]
> **AG2 is on the path to v1.0.** The current framework will be tidied up through deprecations over the next few minor versions and moved to maintenance mode. The beta framework (`autogen.beta`) will become the official version of AG2 at v1.0.
>
> Read the full release roadmap →
    COPY-PASTE FIX
    > [!NOTE]
> **AG2 is evolving towards v1.0, building on the robust foundation of AutoGen.** The core AG2 framework is stable and production-ready, with ongoing refinements. Our `autogen.beta` framework represents the next generation, offering advanced capabilities and will become the official AG2 at v1.0. We are committed to a smooth transition, ensuring AG2 remains the leading platform for reliable, long-running AI agents.
>
> Read the full release roadmap →
  • mediumreadme#2
    Prominently feature AG2's core differentiator in the README's opening

    Why:

    CURRENT
    AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AG2 aims to streamline the development and research of agentic AI. It offers features such as agents capable of in
    COPY-PASTE FIX
    AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AG2 is engineered for robustness and reliability, making it ideal for building production-ready, long-running autonomous AI agents that overcome the limitations of experimental frameworks. AG2 aims to streamline the development and research of agentic AI. It offers features such as agents capable of in
  • lowtopics#3
    Expand topics to include explicit orchestration and production-readiness keywords

    Why:

    CURRENT
    a2a, ag2, agent-framework, agentic, agentic-ai, ai, ai-agents-framework, aiagents, genai, llm, llms, mcp, multi-agent, multi-agent-system, open-source, python
    COPY-PASTE FIX
    a2a, ag2, agent-framework, agentic, agentic-ai, ai, ai-agents-framework, aiagents, genai, llm, llms, mcp, multi-agent, multi-agent-system, open-source, python, ai-orchestration, agent-orchestration, production-ready-ai, autonomous-agents

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 ag2ai/ag2
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. CrewAI · recommended 2×
  3. LlamaIndex · recommended 2×
  4. AutoGen · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I build a multi-agent system using large language models in Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named ag2ai/ag2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source framework helps orchestrate multiple AI agents for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. AgentVerse

    AI recommended 5 alternatives but never named ag2ai/ag2. 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 ag2ai/ag2?
    pass
    AI named ag2ai/ag2 explicitly

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

  • If a team adopts ag2ai/ag2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ag2ai/ag2 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 ag2ai/ag2 solve, and who is the primary audience?
    pass
    AI named ag2ai/ag2 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 ag2ai/ag2. 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/ag2ai/ag2.svg)](https://repogeo.com/en/r/ag2ai/ag2)
HTML
<a href="https://repogeo.com/en/r/ag2ai/ag2"><img src="https://repogeo.com/badge/ag2ai/ag2.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ag2ai/ag2 — 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
ag2ai/ag2 — RepoGEO report