awesome-llm-apps
Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
GraphCanon updated 2w · GitHub synced 2w · 198 views this month
Decision brief
awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Good fit when
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
- For individuals or teams who want to start with ready-to-use code snippets and quickly prototype their own applications in Python.
Avoid when
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Pricing:
- freemium - Free with open-source licensing, but commercial exploitation is allowed.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install awesome-llm-appsHow it fits your stack(90)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Depends on
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A collection of 100+ AI Agent and Retrieval Augmented Generation (RAG) applications that users can quickly implement, customize, and deploy for practical use cases in Python.
Capability facts
- Languages
- python
Source: github.language · Aug 7, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 7, 2026)
npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skiSource link
Source: README excerpt (regex_v1, Aug 7, 2026)
pip install -r requirements.txtSource link
Source: README excerpt (regex_v1, Aug 7, 2026)
real code and passes a security + eval CI gate. Works with Claude Code, Codex, Cursor, and other coding agents. [Browse all skills →](agent_skills/)*Source link
Tags
README
Awesome LLM Apps
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 |
🚀 Run one now
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.
📂 Browse all templates
🧩 Agent Skills
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 →
- ⚰️ Project Graveyard - Finds every side project you abandoned, tells you why each one died, and helps you finish the one worth going back to
- 🔭 Scope Creep Detector - Checks whether a diff grew beyond its stated intent and recommends what to keep, split, or justify
- 🏺 Commit Archaeologist - Reconstructs why a file or code region exists from its introducing commit, later edits, co-changes, and intent clues
- [🩺 D
For agents
This page has a .md twin and JSON over the API.