REPOGEO REPORT · LITE

JackChen-me/open-multi-agent

Default branch main · commit 3cde8f90 · scanned 6/17/2026, 8:37:06 PM

GitHub: 6,389 stars · 2,391 forks

AI VISIBILITY SCORE

27 /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

1 / 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 JackChen-me/open-multi-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

Strengthen the README's opening statement to emphasize 'framework' and 'AI agent teams'

Why:

CURRENT

From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration. Three runtime dependencies.

COPY-PASTE FIX

Open Multi-Agent is a **TypeScript-native framework for orchestrating AI agent teams**, automatically decomposing goals into task DAGs. It provides a robust, minimal-dependency solution for building and coordinating complex multi-agent systems.

hightopics#2

Add more specific topics related to agent orchestration frameworks

Why:

CURRENT

agent-framework, ai-agents, anthropic, claude, crewai-alternative, deepseek, gemini, grok, langgraph-alternative, llm, local-llm, mcp, model-agnostic, multi-agent, nodejs, ollama, openai, orchestration, task-scheduling, typescript

COPY-PASTE FIX

agent-framework, ai-agents, anthropic, claude, crewai-alternative, deepseek, gemini, grok, langgraph-alternative, llm, local-llm, mcp, model-agnostic, multi-agent, nodejs, ollama, openai, orchestration, task-scheduling, typescript, agent-orchestration-framework, multi-agent-framework, ai-workflow-orchestration

mediumcomparison#3

Add a dedicated 'Why Open Multi-Agent?' or 'Comparison' section to the README

Why:

COPY-PASTE FIX

Add a dedicated section to the README (e.g., 'Why Open Multi-Agent?' or 'Comparison') that explicitly highlights its unique approach (e.g., automatic goal-to-DAG decomposition, TypeScript-native, minimal dependencies) and how it stands out from alternatives like LangChain.js, LlamaIndex.TS, CrewAI, or LangGraph.

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 JackChen-me/open-multi-agent

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain.js

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain.js · recommended 2×
LlamaIndex.TS · recommended 2×
NestJS · recommended 2×
Temporal.io · recommended 1×
RabbitMQ · recommended 1×

CATEGORY QUERY
How to automatically generate task dependencies and orchestrate multiple AI agents using TypeScript?
you: not recommended
AI recommended (in order):
1. LangChain.js
2. LlamaIndex.TS
3. Temporal.io
4. NestJS
5. RabbitMQ
6. Apache Kafka
7. Nx
AI recommended 7 alternatives but never named JackChen-me/open-multi-agent. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a robust framework for building and coordinating AI agent teams with Node.js.
you: not recommended
AI recommended (in order):
1. LangChain.js
2. LlamaIndex.TS
3. Autogen.js
4. Agent Protocol
5. NestJS
6. Fastify
7. OpenAI Node.js SDK
AI recommended 7 alternatives but never named JackChen-me/open-multi-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 JackChen-me/open-multi-agent?
pass
AI named JackChen-me/open-multi-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 JackChen-me/open-multi-agent in production, what risks or prerequisites should they evaluate first?
pass
AI did not name JackChen-me/open-multi-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?
In one sentence, what problem does the repo JackChen-me/open-multi-agent solve, and who is the primary audience?
pass
AI did not name JackChen-me/open-multi-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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MARKDOWN (README)

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite