100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
137,032
stars
1,134
commits
Python
primary language
Sep 11, 2026
updated
100+ open-source AI agents, agent skills, and RAG apps. Hand-built, tested end-to-end, Apache-2.0.
Clone it, ship it, sell it - 100% free and open-source
Works with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and other open-source models.
Step-by-step tutorials on Unwind AI · Quick start · Browse all templates
Project Graveyard
|
Insurance Claim Live Agent Team
|
AI Fraud Investigation Agent
|
Self-Improving Agent Skills
|
AI Home Renovation Agent
|
Always-on HN Briefing Agent
|
Give your coding agent a new skill in 10 seconds:
npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard
Then ask it: "why do I never finish my side projects?"
Or clone and run any agent in 30 seconds:
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
pip install -r requirements.txt
streamlit run travel_agent.py
📬 New templates drop weekly. Get them in your inbox on Unwind AI.
Give your coding agent new abilities. One command to install, plain English to use. Every skill ships real code and passes a security + eval CI gate. Works with Claude Code, Codex, Cursor, and other coding agents. Browse all skills →
Single-file agents that run with just an API key - a great place to start.
Production-style agents with tools, memory, and multi-step reasoning.
Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.
Multiple agents collaborating to accomplish complex, cross-domain tasks.
Speech-in, speech-out agents using real-time voice APIs.
Agents that render interactive UI components, not just text: forms, cards, charts, editable plans.
Agents that play games end-to-end: reasoning, strategy, and action.
Agents that connect to external tools and data via Model Context Protocol.
Retrieval pipelines, from simple chains to agentic and multi-source.
Agents and chatbots that remember conversations and user state across sessions.
Turn any data source into a chat interface.
Reduce token usage, context size, and API cost without losing quality.
End-to-end fine-tuning recipes for open-source models.
Deep-dive tutorials on the major agent frameworks.
(top 30 of 95)
Python
55.7%
TypeScript
21.4%
JavaScript
15.7%
HTML
4.3%
CSS
2.5%
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
137,032
stars
1,134
commits
Python
primary language
Sep 11, 2026
updated
100+ open-source AI agents, agent skills, and RAG apps. Hand-built, tested end-to-end, Apache-2.0.
Clone it, ship it, sell it - 100% free and open-source
Works with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and other open-source models.
Step-by-step tutorials on Unwind AI · Quick start · Browse all templates
Project Graveyard
|
Insurance Claim Live Agent Team
|
AI Fraud Investigation Agent
|
Self-Improving Agent Skills
|
AI Home Renovation Agent
|
Always-on HN Briefing Agent
|
Give your coding agent a new skill in 10 seconds:
npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard
Then ask it: "why do I never finish my side projects?"
Or clone and run any agent in 30 seconds:
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
pip install -r requirements.txt
streamlit run travel_agent.py
📬 New templates drop weekly. Get them in your inbox on Unwind AI.
Give your coding agent new abilities. One command to install, plain English to use. Every skill ships real code and passes a security + eval CI gate. Works with Claude Code, Codex, Cursor, and other coding agents. Browse all skills →
Single-file agents that run with just an API key - a great place to start.
Production-style agents with tools, memory, and multi-step reasoning.
Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.
Multiple agents collaborating to accomplish complex, cross-domain tasks.
Speech-in, speech-out agents using real-time voice APIs.
Agents that render interactive UI components, not just text: forms, cards, charts, editable plans.
Agents that play games end-to-end: reasoning, strategy, and action.
Agents that connect to external tools and data via Model Context Protocol.
Retrieval pipelines, from simple chains to agentic and multi-source.
Agents and chatbots that remember conversations and user state across sessions.
Turn any data source into a chat interface.
Reduce token usage, context size, and API cost without losing quality.
End-to-end fine-tuning recipes for open-source models.
Deep-dive tutorials on the major agent frameworks.
(top 30 of 95)
Python
55.7%
TypeScript
21.4%
JavaScript
15.7%
HTML
4.3%
CSS
2.5%