walid@portfolio:~/lab/high-star-repo-shortlist$
cd../lab
46ideaAug 2026

Ten repos to check before you pay for a tool

Roughly 1.9M combined stars — directories, free tiers, local models and agent scaffolding

Ten repositories in the top tier of GitHub by stars that between them cover a lot of what a small team otherwise buys: an API directory, a free-tier directory, local model hosting, a scraper, a visual agent builder, an MCP index, and two agents that produce real files. Every star count here was checked live rather than copied.

Open sourceLocal LLMsMCPFree tiersawesome ↗public-apis ↗ollama ↗langflow ↗free-for-dev ↗awesome-llm-apps ↗awesome-mcp-servers ↗open-design ↗OpenHands ↗Scrapling ↗
What this is

A shortlist, not a reading list

None of these needs an introduction on its own — they are among the most-starred repositories on GitHub. What is worth having is the set: ten things that, between them, answer most of the questions that end with someone opening a pricing page.

So the table below says what each one saves you doing rather than what each one is. Starring them achieves nothing. Knowing which one to open when a specific need appears is the entire value.

The ten

Sorted by stars, checked 28 Aug 2026

RepositoryStarsWhat it saves you doing
sindresorhus/awesomeStars501kWhat it saves you doingSearching. It is the index of indexes — curated lists on nearly every technical topic, so the first move on an unfamiliar problem is to look for the list before building anything.
public-apis/public-apisStars472kWhat it saves you doingHunting for a data source. Free APIs across 50+ categories — weather, finance, games, images — with auth and CORS noted per entry.
ollama/ollamaStars180kWhat it saves you doingPaying per token. Runs open models locally — Llama, Qwen, DeepSeek, gpt-oss, Gemma — with no API bill and no rate limit, at the cost of your own hardware.
langflow-ai/langflowStars154kWhat it saves you doingWiring agents by hand. Drag-and-drop construction of agents and RAG flows, then deploy the result as an API or an MCP server.
ripienaar/free-for-devStars136kWhat it saves you doingComparison-shopping infrastructure. SaaS, PaaS and IaaS offerings with genuine permanent free tiers rather than trials that expire.
Shubhamsaboo/awesome-llm-appsStars135kWhat it saves you doingStarting from an empty folder. 100+ complete agents, agent skills and RAG apps you clone and adapt instead of architecting from nothing.
punkpeye/awesome-mcp-serversStars93kWhat it saves you doingWriting an integration. A directory of MCP servers already connecting agents to browsers, databases and APIs.
nexu-io/open-designStars92kWhat it saves you doingBuying a design seat. A local-first desktop app where a coding agent produces prototypes, dashboards, decks, images and video, exported as real files — HTML, PDF, PPTX, MP4.
OpenHands/OpenHandsStars85kWhat it saves you doingBabysitting the small tasks. An autonomous coding agent that writes code, runs tests, debugs and works a task through on its own.
D4Vinci/ScraplingStars77kWhat it saves you doingRebuilding scrapers every time a page changes. An adaptive scraping framework that handles anti-bot measures, from a single request up to a full crawl.
!
Treat any star count as a timestamp, not a fact

Every figure above is live-checked, and every one had moved since the list was compiled two weeks earlier — public-apis by roughly 16,000 and open-design by roughly 7,000. Lists like this also tend to arrive with a headline number attached: how many thousands a year the set replaces. That figure is unverifiable and worth ignoring. Half of these are directories, and a directory replaces searching, not spending.

i
One path in the original list is already stale

OpenHands moved organisation: All-Hands-AI/OpenHands now redirects to OpenHands/OpenHands. Existing clones and links keep working, but write the new path anywhere you are pinning it.

How to use it

The order that actually saves time

1

Directories first

awesome, free-for-dev and public-apis are search replacements. Check them before you scope any build — the answer is frequently something you do not have to write.

2

Then ask whether it has to leave your machine

Ollama and Scrapling both remove a per-call bill and a third party from the loop. If the data is sensitive or the volume is high, that decision is worth making before the architecture hardens around an API key.

3

Clone the agent repos, do not read them

awesome-llm-apps and OpenHands earn their place as running projects. Find the closest match, open it in your agent, and describe what it has to do differently.

4

Keep the two indexes bookmarked, not consumed

awesome-mcp-servers and awesome are reference material. Nobody reads them end to end, and trying is how a shortlist turns into a weekend.

i
Overlap with an earlier entry

awesome-llm-apps already appears in “Two repos worth cloning before building an agent”, where it gets covered properly alongside ai-engineering-hub. Here it is one of ten — go to that entry if agents are the actual goal.