Awesome Llm Apps
| Entity Passport | |
| Registry ID | gh-model--shubhamsaboo--awesome-llm-apps |
| Provider | github |
Cite this model
Academic & Research Attribution
@misc{gh_model__shubhamsaboo__awesome_llm_apps,
author = {Shubhamsaboo},
title = {Awesome Llm Apps Model},
year = {2026},
howpublished = {\url{https://github.com/Shubhamsaboo/awesome-llm-apps}},
note = {Accessed via Free2AITools Knowledge Fortress}
} ๐ฌTechnical Deep Dive
Full Specifications [+]โพ
Quick Commands
git clone https://github.com/Shubhamsaboo/awesome-llm-apps โ๏ธ Nexus Index V16.5
๐ฌ Index Insight
The Free2AITools Nexus Index for Awesome Llm Apps aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.
Verification Authority
๐ What's Next?
Technical Deep Dive
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๐ Awesome LLM Apps
A curated collection of Awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more. This repository features LLM apps that use models from OpenAI ,
Anthropic,
Google,
xAI and open-source models like
Qwen or
Llama that you can run locally on your computer.
๐ค Why Awesome LLM Apps?
- ๐ก Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
- ๐ฅ Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG.
- ๐ Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
๐ Thanks to our sponsors
TinyFish |
Tiger Data MCP |
Speechmatics |
Become a Sponsor |
๐ Featured AI Projects
AI Agents
๐ฑ Starter AI Agents
- ๐๏ธ AI Blog to Podcast Agent
- โค๏ธโ๐ฉน AI Breakup Recovery Agent
- ๐ AI Data Analysis Agent
- ๐ฉป AI Medical Imaging Agent
- ๐ AI Meme Generator Agent (Browser)
- ๐ต AI Music Generator Agent
- ๐ซ AI Travel Agent (Local & Cloud)
- โจ Gemini Multimodal Agent
- ๐ Mixture of Agents
- ๐ xAI Finance Agent
- ๐ OpenAI Research Agent
- ๐ธ๏ธ Web Scraping AI Agent (Local & Cloud SDK)
๐ Advanced AI Agents
- ๐๏ธ ๐ AI Home Renovation Agent with Nano Banana Pro
- ๐ง DevPulse AI โ Multi-Agent Signal Intelligence
- ๐ AI Deep Research Agent
- ๐ AI VC Due Diligence Agent Team
- ๐ฌ AI Research Planner & Executor (Google Interactions API)
- ๐ค AI Consultant Agent
- ๐๏ธ AI System Architect Agent
- ๐ฐ AI Financial Coach Agent
- ๐ฌ AI Movie Production Agent
- ๐ AI Investment Agent
- ๐๏ธโโ๏ธ AI Health & Fitness Agent
- ๐ AI Product Launch Intelligence Agent
- ๐๏ธ AI Journalist Agent
- ๐ง AI Mental Wellbeing Agent
- ๐ AI Meeting Agent
- ๐งฌ AI Self-Evolving Agent
- ๐จ๐ปโ๐ผ AI Sales Intelligence Agent Team
- ๐ง AI Social Media News and Podcast Agent
- ๐ Openwork - Open Browser Automation Agent
๐ฎ Autonomous Game Playing Agents
๐ค Multi-agent Teams
- ๐งฒ AI Competitor Intelligence Agent Team
- ๐ฒ AI Finance Agent Team
- ๐จ AI Game Design Agent Team
- ๐งญ AG2 Adaptive Research Team
- ๐จโโ๏ธ AI Legal Agent Team (Cloud & Local)
- ๐ผ AI Recruitment Agent Team
- ๐ AI Real Estate Agent Team
- ๐จโ๐ผ AI Services Agency (CrewAI)
- ๐จโ๐ซ AI Teaching Agent Team
- ๐ป Multimodal Coding Agent Team
- โจ Multimodal Design Agent Team
- ๐จ ๐ Multimodal UI/UX Feedback Agent Team with Nano Banana
- ๐ AI Travel Planner Agent Team
๐ฃ๏ธ Voice AI Agents
- ๐ฃ๏ธ AI Audio Tour Agent
- ๐ Customer Support Voice Agent
- ๐ Voice RAG Agent (OpenAI SDK)
- ๐๏ธ OpenSource Voice Dictation Agent (like Wispr Flow
MCP AI Agents
- โพ๏ธ Browser MCP Agent
- ๐ GitHub MCP Agent
- ๐ Notion MCP Agent
- ๐ AI Travel Planner MCP Agent
๐ RAG (Retrieval Augmented Generation)
- ๐ฅ Agentic RAG with Embedding Gemma
- ๐ง Agentic RAG with Reasoning
- ๐ฐ AI Blog Search (RAG)
- ๐ Autonomous RAG
- ๐ Contextual AI RAG Agent
- ๐ Corrective RAG (CRAG)
- ๐ Deepseek Local RAG Agent
- ๐ค Gemini Agentic RAG
- ๐ Hybrid Search RAG (Cloud)
- ๐ Llama 3.1 Local RAG
- ๐ฅ๏ธ Local Hybrid Search RAG
- ๐ฆ Local RAG Agent
- ๐งฉ RAG-as-a-Service
- โจ RAG Agent with Cohere
- โ๏ธ Basic RAG Chain
- ๐ RAG with Database Routing
- ๐ผ๏ธ Vision RAG
- ๐ฉบ RAG Failure Diagnostics Clinic
- ๐ธ๏ธ Knowledge Graph RAG with Citations
๐พ LLM Apps with Memory Tutorials
- ๐พ AI ArXiv Agent with Memory
- ๐ฉ๏ธ AI Travel Agent with Memory
- ๐ฌ Llama3 Stateful Chat
- ๐ LLM App with Personalized Memory
- ๐๏ธ Local ChatGPT Clone with Memory
- ๐ง Multi-LLM Application with Shared Memory
๐ฌ Chat with X Tutorials
- ๐ฌ Chat with GitHub (GPT & Llama3)
- ๐จ Chat with Gmail
- ๐ Chat with PDF (GPT & Llama3)
- ๐ Chat with Research Papers (ArXiv) (GPT & Llama3)
- ๐ Chat with Substack
- ๐ฝ๏ธ Chat with YouTube Videos
๐ฏ LLM Optimization Tools
- ๐ฏ Toonify Token Optimization - Reduce LLM API costs by 30-60% using TOON format
- ๐ง Headroom Context Optimization - Reduce LLM API costs by 50-90% through intelligent context compression for AI agents (includes persistent memory & MCP support)
๐ง LLM Fine-tuning Tutorials
๐งโ๐ซ AI Agent Framework Crash Course
- Starter agent; modelโagnostic (OpenAI, Claude)
- Structured outputs (Pydantic)
- Tools: builtโin, function, thirdโparty, MCP tools
- Memory; callbacks; Plugins
- Simple multiโagent; Multiโagent patterns
OpenAI Agents SDK Crash Course
- Starter agent; function calling; structured outputs
- Tools: builtโin, function, thirdโparty integrations
- Memory; callbacks; evaluation
- Multiโagent patterns; agent handoffs
- Swarm orchestration; routing logic
๐ Getting Started
Clone the repository
bashgit clone https://github.com/Shubhamsaboo/awesome-llm-apps.gitNavigate to the desired project directory
bashcd awesome-llm-apps/starter_ai_agents/ai_travel_agentInstall the required dependencies
bashpip install -r requirements.txtFollow the project-specific instructions in each project's
README.mdfile to set up and run the app.
Thank You, Community, for the Support! ๐
๐ Donโt miss out on future updates! Star the repo now and be the first to know about new and exciting LLM apps with RAG and AI Agents.
๐ Quick Start
pip install -r requirements.txt
๐ Limitations & Considerations
- โข Benchmark scores may vary based on evaluation methodology and hardware configuration.
- โข VRAM requirements are estimates; actual usage depends on quantization and batch size.
- โข FNI scores are relative rankings and may change as new models are added.
- โข Source: Unknown
AI Summary: Based on GitHub metadata. Not a recommendation.
๐ก๏ธ Model Transparency Report
Verified data manifest for traceability and transparency.
๐ Identity & Source
- id
- gh-model--shubhamsaboo--awesome-llm-apps
- source
- github
- author
- Shubhamsaboo
- tags
- llmsragpythonagents
โ๏ธ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
- pipeline tag
- feature-extraction
๐ Engagement & Metrics
- likes
- 0
- downloads
- 0
Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)