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LLM Apps

Source: https://github.com/Shubhamsaboo/awesome-llm-apps at 4bf51ab704fb
License: Apache-2.0
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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

Featured on Trendshift as the #1 repository of the day
Project Graveyard: an agent that autopsies your dead side projects Project Graveyard Insurance Claim Live Agent Team: voice claims settled in real time Insurance Claim Live Agent Team AI Fraud Investigation Agent: public records, cross-examined AI Fraud Investigation Agent
Self-Improving Agent Skills: skills that rewrite themselves against evals Self-Improving Agent Skills AI Home Renovation Agent: photo in, photoreal redesign out AI Home Renovation Agent Always-on HN Briefing Agent: it reads Hacker News while you sleep Always-on HN Briefing Agent
TinyFish Community Programs: join the Students and Ambassadors programs
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Give your coding agent a new skill in 10 seconds:

Terminal window
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:

Terminal window
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 →

  • ⚰️ Project Graveyard - Finds every side project you abandoned, tells you why each one died, and helps you finish the one worth going back to
  • 👁️ First Reader - Simulates real readers going through your draft and reports where they lose interest, where they stop reading, and what they remember afterward, without rewriting a word
  • 🔭 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
  • 🩺 Dependency Doctor - Checks a dependency manifest for standard-library pins, obsolete backports, unpinned entries, duplicate constraints, and yanked releases
  • 🧠 Advisor Orchestrator Worker - Meta Loop with Claude Fable 5.1 as advisor, GPT-6 Astra as orchestrator, and Gemini 3.8 Flash as worker
  • 🎙️ Thinking Out Loud - Echoes a voice ramble back as a scannable brief, with the model’s guesses quarantined and your reversals flagged
  • ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK

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.

🖼️ Generative UI and Agentic Frontends

Section titled “🖼️ Generative UI and Agentic Frontends”

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.

Small tools that bring AI into everyday browsing.

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.

🧑‍🏫 AI Agent Framework Crash Courses

Section titled “🧑‍🏫 AI Agent Framework Crash Courses”

Deep-dive tutorials on the major agent frameworks.

  • Google ADK Crash Course - Starter agent, structured outputs, tools (built-in, function, third-party, MCP), memory, callbacks, plugins, and multi-agent patterns. Model-agnostic.
  • OpenAI Agents SDK Crash Course - Starter agent, function calling, structured outputs, tools, memory, evaluation, handoffs, swarm orchestration, and routing logic.

⭐ Star the repo to get notified when new templates drop.

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Apache-2.0 · See LICENSE · Fork it, ship it, sell it.

HagiCode

HagiCode is an agentic coding workspace. Rich, convenient UI interactions make planning, agent execution, and project work approachable and easy to navigate, creating an engaging development experience.

Explore an engaging development experience through rich, convenient UI interactions.

Visit HagiCodeRead the documentation
  • SmartOpenSpec workflows turn intent into an executable path, from proposal to design, tasks, and a shipped change.
  • EfficientMulti-agent execution keeps research, implementation, and review moving in parallel, across several repositories and the Agent CLIs you already use.
  • InterestingRich, convenient UI interactions make planning, agent execution, and project work approachable and easy to navigate.

Download for Windows

Get it from Microsoft StoreAll downloads

Turn ideas into shipped software.

HagiCode is an agentic coding workspace. OpenSpec workflows plan the change, multi-agent execution carries it out, and Hero Scenario makes the long run visible, so ideas become shipped software.

Smart
OpenSpec workflows turn intent into a path from proposal to shipped change.
Efficient
Multi-agent execution runs research, build, and review in parallel.
Fun
Rich UI interactions make planning, agent work, and projects easier to follow.

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