REPOGEO REPORT · LITE
run-llama/llama_deploy
Default branch main · commit c0ce080c · scanned 6/24/2026, 7:01:56 PM
GitHub: 2,068 stars · 226 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.
3 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 run-llama/llama_deploy, 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#1Update repository description to reflect deprecation
Why:
CURRENTDeploy your agentic worfklows to production
COPY-PASTE FIXDEPRECATED: Deploy your agentic workflows to production. Use llama-agents instead.
- mediumhomepage#2Update homepage URL to point to llama-agents documentation
Why:
CURRENThttps://docs.llamaindex.ai/en/stable/module_guides/llama_deploy/
COPY-PASTE FIXhttps://docs.llamaindex.ai/en/stable/module_guides/llama_agents/
- lowtopics#3Add deprecation and successor topics
Why:
CURRENTagents, deployment, framework, llamaindex, llm, multi-agents
COPY-PASTE FIXagents, deployment, framework, llamaindex, llm, multi-agents, deprecated, llama-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.
- LangChain · recommended 2×
- FastAPI · recommended 1×
- Flask · recommended 1×
- Kubernetes · recommended 1×
- EKS · recommended 1×
- CATEGORY QUERYHow can I deploy my LLM-based agent applications to a production environment?you: not recommendedAI recommended (in order):
- LangChain
- FastAPI
- Flask
- Kubernetes
- EKS
- GKE
- AKS
- AWS Fargate
- Google Cloud Run
- Azure Container Instances
- Hugging Face Inference Endpoints
- TGI (Text Generation Inference)
- Vercel AI SDK
- Next.js
- AWS SageMaker
- Google Cloud Vertex AI
- Azure Machine Learning
- SageMaker Endpoints
- Vertex AI Endpoints
- Azure ML Endpoints
- Modal Labs
- Ray Serve
- Redis
- PostgreSQL
- DynamoDB
AI recommended 25 alternatives but never named run-llama/llama_deploy. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat framework helps with orchestrating and deploying multi-agent AI systems?you: not recommendedAI recommended (in order):
- LangChain
- AutoGen
- CrewAI
- Haystack
- LlamaIndex
- OpenAI Assistants API
- Marvin
AI recommended 7 alternatives but never named run-llama/llama_deploy. 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 run-llama/llama_deploy?passAI did not name run-llama/llama_deploy — 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?
- If a team adopts run-llama/llama_deploy in production, what risks or prerequisites should they evaluate first?passAI named run-llama/llama_deploy 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 run-llama/llama_deploy solve, and who is the primary audience?passAI named run-llama/llama_deploy 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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run-llama/llama_deploy — 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