REPOGEO REPORT · LITE

trpc-group/trpc-agent-go

Default branch main · commit 34abffae · scanned 5/17/2026, 2:51:47 AM

GitHub: 1,175 stars · 133 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

33 /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

2 / 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 trpc-group/trpc-agent-go, 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 the README's opening to clarify its core purpose as an AI agent framework

Why:

CURRENT

A powerful Go framework for building intelligent agent systems that transforms how you create AI applications.

COPY-PASTE FIX

tRPC-Agent-Go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools, *distinct from the core tRPC microservice framework*. It transforms how you create AI applications by enabling autonomous agents that think, remember, collaborate, and act with unprecedented ease.

mediumtopics#2

Expand repository topics with more specific AI agent and LLM keywords

Why:

CURRENT

a2a, agent, ai, llm, mcp

COPY-PASTE FIX

go, golang, llm, large-language-models, ai-agents, agent-framework, multi-agent, autonomous-agents, langchain, prompt-engineering, tool-use, memory, orchestration, graph-agent

lowreadme#3

Clarify the project's license(s) in the README

Why:

COPY-PASTE FIX

## License
This project is licensed under [Specify License Name(s) here, e.g., 'a custom license' or 'a combination of X and Y licenses']. See the [LICENSE](LICENSE) file for full details.

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 trpc-group/trpc-agent-go

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain Go

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain Go · recommended 2×
Go-LLM · recommended 1×
OpenAI Go Library · recommended 1×
Google Cloud Go Client Libraries · recommended 1×
Echo · recommended 1×

CATEGORY QUERY
Go framework for building autonomous AI agent systems using large language models?
you: not recommended
AI recommended (in order):
1. LangChain Go
2. Go-LLM
3. OpenAI Go Library
4. Google Cloud Go Client Libraries
5. Echo
6. Gin
AI recommended 6 alternatives but never named trpc-group/trpc-agent-go. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool for orchestrating multi-agent LLM workflows and persistent memory in Go?
you: not recommended
AI recommended (in order):
1. LangChain Go
2. Temporal
3. Cadence
4. PostgreSQL
5. GORM
6. sqlx
7. Redis
8. Camunda Platform
9. Apache Kafka
10. MongoDB
11. segmentio/kafka-go (segmentio/kafka-go)
12. confluentinc/confluent-kafka-go (confluentinc/confluent-kafka-go)
AI recommended 12 alternatives but never named trpc-group/trpc-agent-go. 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 trpc-group/trpc-agent-go?
pass
AI named trpc-group/trpc-agent-go explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts trpc-group/trpc-agent-go in production, what risks or prerequisites should they evaluate first?
pass
AI named trpc-group/trpc-agent-go 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 trpc-group/trpc-agent-go solve, and who is the primary audience?
pass
AI did not name trpc-group/trpc-agent-go — 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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trpc-group/trpc-agent-go — 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