What it actually does
Most "awesome" lists are link collections. This one is a collection of working applications: over a hundred AI agents, agent skills, and RAG apps, hand-built and tested end to end, all Apache 2.0.
The licence choice is the point. Apache 2.0 means you can clone it, ship it, and sell it — the maintainers say so explicitly. These are starting points for real products, not read-only examples.
The catalog spans genuinely useful ground: insurance claim agent teams, fraud investigation agents, self-improving agent skills, home renovation agents, always-on briefing agents. Each has a step-by-step tutorial on the associated site. It works across Claude, Gemini, GPT, DeepSeek, Llama, and Qwen.
There is also a one-line install path (`npx skills add …`) to give a coding agent a new skill in seconds. 132,000 stars and, tellingly, only 9 open issues.
Who it's for
- 01
Founders looking for a working starting point rather than a blank file
- 02
Engineers who learn faster from a running application than from documentation
- 03
Teams evaluating what is realistic before scoping their own build
- 04
Anyone who wants a commercially usable licence on their starting code
Where it earns its keep
- Finding a working reference for the exact pattern you are about to build
- Shipping an internal tool this week by adapting a tested template
- Comparing implementations of the same idea across model providers
- Teaching your team by having them extend a working app rather than start from nothing
- Validating a product idea cheaply before committing engineering time
Use it, or skip it
Reach for it when
- You are starting something and want a proven skeleton
- You need a commercially permissive licence on example code
- Your team learns by modifying working software
- You want to see the same pattern across several model providers
Skip it when
- You need production-hardened code — these are well-built examples, not audited systems
- Your requirements are unusual enough that no template fits
- You would spend longer adapting a template than writing it cleanly yourself
- You need long-term support guarantees on the code you ship
10 automations
Ideas, not tutorials. Each one is work a team does by hand today.
- 01Founders
Always-on briefing agent
Adapt the briefing template to watch your own sources and deliver a daily digest to Slack.
- 02Operations
Claims-style document triage
Repurpose the insurance claim agent team pattern for any structured document intake process you run.
- 03Finance
Fraud and anomaly review
Use the fraud investigation pattern to review transactions or signups and escalate the suspicious ones.
- 04Engineering
RAG prototype in a day
Clone a RAG app, point it at your documentation, and have a working prototype to demo the same day.
- 05Operations
Self-improving skill loop
Adapt the self-improving skills example so your internal skills get refined from real usage.
- 06Engineering
Provider comparison test
Run the same template on two providers to see which handles your data better before you commit.
- 07Operations
Team learning exercise
Have each engineer extend a different template and demo it, as a fast way to build shared fluency.
- 08Sales
Customer-facing demo assets
Build quick working demos of what automation could look like for a prospect's specific workflow.
- 09Operations
Internal tool bootstrapping
Ship small internal tools from templates instead of adding them to the engineering backlog.
- 10Founders
Feasibility spike
Before scoping a build, adapt the closest template to confirm the approach actually works on your data.
Want one of these running by Friday?
LimeDock builds these as real workflows inside your stack — deployed to your cloud, wired into your Slack and CRM, with the code in your repo. You pay a build fee and your own API keys, nothing else.
Source
Repository stats were read from the GitHub API and reflect the last time we refreshed this entry. The editorial breakdown above is LimeDock’s own analysis — we are not affiliated with Shubhamsaboo.
https://github.com/Shubhamsaboo/awesome-llm-apps