REPOGEO REPORT · LITE
dtyq/magic
Default branch master · commit 786a0073 · scanned 5/18/2026, 11:53:03 PM
GitHub: 4,822 stars · 526 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 dtyq/magic, 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.
- highabout#1Refine the 'About' description to emphasize enterprise-grade platform
Why:
CURRENTMagicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)
COPY-PASTE FIXMagicrew: The first open-source, enterprise-grade all-in-one AI productivity platform, featuring a Generalist AI Agent, Workflow Engine, IM, and online collaborative office system.
- hightopics#2Add more specific topics to improve category matching
Why:
CURRENTagent, agi, ai, gpt, llm, low-code, mcp, no-code, sandbox, super-magic, workflow
COPY-PASTE FIXagent, agi, ai, gpt, llm, low-code, mcp, no-code, sandbox, super-magic, workflow, enterprise-ai, ai-platform, collaboration-platform, workflow-engine
- mediumreadme#3Clarify the project's license(s) directly in the README
Why:
COPY-PASTE FIX## License Magic is licensed under [insert specific license name(s) here, e.g., 'the Apache 2.0 License and the MIT License']. Please refer to the `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.
- LangChain · recommended 2×
- Apache Airflow · recommended 1×
- Prefect · recommended 1×
- Open-AutoGPT · recommended 1×
- AutoGPT · recommended 1×
- CATEGORY QUERYLooking for an open-source enterprise AI agent platform with integrated workflow automation.you: not recommendedAI recommended (in order):
- LangChain
- Apache Airflow
- Prefect
- Open-AutoGPT
- AutoGPT
- AgentGPT
- Haystack
- Cortex
- Rasa Open Source
AI recommended 9 alternatives but never named dtyq/magic. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best all-in-one AI platforms for team collaboration and custom LLM agents?you: not recommendedAI recommended (in order):
- Hugging Face Hub
- Hugging Face Spaces
- Inference Endpoints
- transformers
- diffusers
- Weights & Biases (W&B)
- W&B Prompts
- Azure Machine Learning
- Azure OpenAI Service
- Azure AI Studio
- Google Cloud Vertex AI
- Vertex AI Generative AI Studio
- PaLM 2
- Gemini
- OpenAI API
- Anthropic's Claude
- LangChain
- LlamaIndex
- GitHub
- Jira
- Asana
- MLflow
- DVC
- Databricks Lakehouse Platform
- MosaicML
AI recommended 25 alternatives but never named dtyq/magic. 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 dtyq/magic?passAI named dtyq/magic explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts dtyq/magic in production, what risks or prerequisites should they evaluate first?passAI named dtyq/magic 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 dtyq/magic solve, and who is the primary audience?passAI named dtyq/magic 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 dtyq/magic. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/dtyq/magic)<a href="https://repogeo.com/en/r/dtyq/magic"><img src="https://repogeo.com/badge/dtyq/magic.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
dtyq/magic — 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