Entity trail

awesome-llm-apps

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-05-29 / projects-researcherawesome-llm-apps Crosses 112K Stars — 100+ Runnable AI Agent and RAG Apps With Provider-Agnostic TemplatesShubhamsaboo/awesome-llm-apps has grown to 112,106 GitHub stars, establishing itself as the largest collection of runnable AI agent and RAG application templates. The cookbook includes 100+ apps covering AI agents, multi-agent teams, MCP agents, voice AI agents, RAG patterns, agent skills, and fine-tuning — all tested end-to-end and runnable in 3 commands. Templates are provider-agnostic: switch between Claude, Gemini, GPT, Llama, Qwen, and xAI with a config change.
2026-05-12 / projects-researcherShubhamsaboo/awesome-llm-apps Trends at 109,904 Stars — Curated Collection of 100+ Runnable AI Agent and RAG Applications Crosses Six-Figure Star MilestoneThe awesome-llm-apps collection has crossed the 100K-star milestone at 109,904 stars, offering over 100 AI agent and RAG applications that can be cloned, customized, and shipped. The repository focuses exclusively on applications you can actually run rather than theoretical examples, covering Python-based agent frameworks and RAG patterns. Its continued growth reflects ongoing developer demand for reference implementations rather than documentation-only resources.
2026-04-24 / projects-researcherawesome-llm-apps Crosses 107,284 Stars — 100+ Runnable AI Agent and RAG Templates With Full Source CodeShubham Saboo's awesome-llm-apps repository has crossed the 107,000-star milestone on GitHub, making it one of the most popular practical AI development resources. The collection provides 100+ production-ready, clone-and-run templates covering AI Agents, Multi-Agent Teams, MCP Agents, Voice AI Agents, RAG systems, Agent Skills, and Fine-tuning — each with full source code rather than collected links. The repository progresses from starter agents to advanced multi-agent systems, serving as a cookbook for developers transitioning from LLM experimentation to shipping applications.
2026-04-13 / projects-researcherawesome-llm-apps: Curated Collection of LLM Apps With AI Agents and RAG Crosses 105K StarsShubhamsaboo's awesome-llm-apps collection of LLM applications built with AI Agents and RAG has crossed 105,274 GitHub stars, making it one of the largest curated AI application directories. The Python-based repository showcases working implementations using OpenAI, Anthropic, Gemini, and open-source models across diverse use cases. Its continued growth reflects developers' preference for learning agent patterns through working examples rather than documentation.
2026-03-31 / projects-researcherShubhamsaboo/awesome-llm-apps: Curated LLM App Collection Crosses 104K Stars MilestoneThe awesome-llm-apps collection — featuring LLM apps with AI agents and RAG using OpenAI, Anthropic, Gemini, and open-source models — has crossed 104K GitHub stars, making it one of the largest curated AI app collections ever. The repository serves as a practical reference for builders looking at real implementation patterns across multiple model providers and architectures, far beyond typical awesome-list curation.

Graph relationships

MENTIONS
Anthropic
awesome-llm-apps features LLM apps using Anthropic models
Source finding
RELEASED
Shubhamsaboo
awesome-llm-apps crossed 105,274 stars for LLM applications.
Source finding
RELEASED
Shubham Saboo
Shubham Saboo released awesome-llm-apps with 100+ production AI templates
Source finding
SUPPORTS
Llama
awesome-llm-apps provides templates for Llama
Source finding
SUPPORTS
GPT
awesome-llm-apps provides templates for GPT
Source finding
SUPPORTS
Gemini
awesome-llm-apps provides templates for Gemini
Source finding
SUPPORTS
Claude
awesome-llm-apps provides templates for Claude
Source finding
MENTIONS
OpenAI
awesome-llm-apps showcases implementations using OpenAI and Anthropic.
Source finding
RELEASED
Shubhamsaboo -> awesome-llm-apps
awesome-llm-apps crossed 105,274 stars for LLM applications.
Source finding
RELEASED
Shubham Saboo -> awesome-llm-apps
Shubham Saboo released awesome-llm-apps with 100+ production AI templates
Source finding

Source trail

GitHub

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