🤖 AI Agent Hub

Pre-built automation agents for every niche — import in one click into n8n, Zapier, Make, LangChain, CrewAI and more. Free with your ThriveXDNA account.

101+
Agents
8
Frameworks
9
Niches
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Niche: All 💪 Fitness 💰 Finance 🌿 Health Wellness 🚀 Productivity 💼 Business Saas 📣 Marketing Content 🎓 Education Learning 🏠 Real Estate 🛡️ Insurance
Framework: All 🔄 N8N ⚡ ZAPIER 🔧 MAKE 🤖 CREWAI 🔗 LANGCHAIN 🌊 FLOWISE 🧠 RELEVANCE-AI ✨ DIFY
🔗 LANGCHAIN
recover_conversation
Intermediate ▶ Manual
https://smith.langchain.com/hub/recover_conversation
⬇ Import Agent Docs
🔗 LANGCHAIN
product_relevance
Intermediate ▶ Manual
https://smith.langchain.com/hub/product_relevance
⬇ Import Agent Docs
🔗 LANGCHAIN
context-supervisor
Intermediate ▶ Manual
https://smith.langchain.com/hub/context-supervisor
⬇ Import Agent Docs
🔗 LANGCHAIN
self-rag-question-rewriter
Intermediate ▶ Manual
https://smith.langchain.com/hub/self-rag-question-rewriter
⬇ Import Agent Docs
🔗 LANGCHAIN
reduce-prompt
Intermediate ▶ Manual
Prompt for reduce stage in map-reduce chain for document summarization
https://smith.langchain.com/hub/reduce-prompt
🔗 LANGCHAIN
rag-with-history-guidance
Intermediate ▶ Manual
RAG with chat history to reduce the "I have no knowledge about this topic" answer.
https://smith.langchain.com/hub/rag-with-history-guidance
🔗 LANGCHAIN
generate_prompt_nolinks
Intermediate ▶ Manual
The prompt used in the generate step of the graph
https://smith.langchain.com/hub/generate_prompt_nolinks
🔗 LANGCHAIN
rag-prompt-llama3
Intermediate ▶ Manual
This is a prompt for retrieval-augmented-generation. It is useful for chat, QA, or other applications that rely on passing context to an LLM. This is for use with llama3, using llama3 special tokens: https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/
https://smith.langchain.com/hub/rag-prompt-llama3
🔗 LANGCHAIN
chat-langchain-more-info-prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/chat-langchain-more-info-prompt
🔗 LANGCHAIN
llm-compiler
Intermediate ▶ Manual
https://smith.langchain.com/hub/llm-compiler
🔗 LANGCHAIN
network_filter_prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/network_filter_prompt
🔗 LANGCHAIN
self-rag-retrieval-grader
Intermediate ▶ Manual
https://smith.langchain.com/hub/self-rag-retrieval-grader
🔗 LANGCHAIN
chat-langchain-general-prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/chat-langchain-general-prompt
🔗 LANGCHAIN
llm-compiler-joiner
Intermediate ▶ Manual
https://smith.langchain.com/hub/llm-compiler-joiner
🔗 LANGCHAIN
network_pandas_prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/network_pandas_prompt
🔗 LANGCHAIN
self-rag-hallucination-grader
Intermediate ▶ Manual
https://smith.langchain.com/hub/self-rag-hallucination-grader
🔗 LANGCHAIN
rag-answer-vs-reference
Intermediate ▶ Manual
Evaluation for RAG answer accuracy vs a reference
https://smith.langchain.com/hub/rag-answer-vs-reference
🔗 LANGCHAIN
proposal-indexing
Intermediate ▶ Manual
Dense retrieval prompt.
https://smith.langchain.com/hub/proposal-indexing
🔗 LANGCHAIN
prompt-maker
Intermediate ▶ Manual
Convert your small and lazy prompt into a detailed and better prompts with this template.
https://smith.langchain.com/hub/prompt-maker
🔗 LANGCHAIN
self-rag-answer-grader
Intermediate ▶ Manual
https://smith.langchain.com/hub/self-rag-answer-grader
🔗 LANGCHAIN
chat-langchain-generate-queries-prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/chat-langchain-generate-queries-prompt
🔗 LANGCHAIN
network_sys_prompt
Intermediate ▶ Manual
https://smith.langchain.com/hub/network_sys_prompt
🔗 LANGCHAIN
ocr_generator
Intermediate ▶ Manual
https://smith.langchain.com/hub/ocr_generator
🔗 LANGCHAIN
web-voyager
Intermediate ▶ Manual
https://smith.langchain.com/hub/web-voyager
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