THE OPEN SOURCE AI CATALOGUE

Find any repo with one question

AI that searches GitHub, summarises READMEs, finds free templates and chats with a codebase, so you spend less time hunting and more time building.

GiGitHub
Angular
React
Vue
Python
Go
Rust
Docker
AI search
README summaries
OpenSourceLabsAI
Template finder
Chat with a repo
Repo search
README summaries
Template finder
Chat with a repo
Category labels
Recommendations

+6,000 FREE TEMPLATES

Indexed across the languages and frameworks developers use most

+120

Use cases & templates

Start from a real question, then make the answer look and feel like your product.

AI repo search

Ask for a library the way you would ask a teammate. The assistant reads stars, activity, licence and README content, then explains why each result fits.

Try AI search
OSL AI

The AI layer behind the stacks your teams already use

Why teams build with OpenSourceLabs AI

Your assistant acts inside the catalogue, learns from real use, keeps every answer sourced, and stays open to your stack.

Understands intent

Search by what you want to build, not by exact keywords. The assistant maps your words to topics, languages and licences.

Learns from what you save

Saves, collections and downloads quietly tune your recommendations, so the next search starts closer to the answer.

Every answer is sourced

Summaries and chat replies link to the README lines and files they used. Nothing is a black box.

Open by default

Built on public GitHub data and open models where possible. Export your collections any time.

Build fast. Make it yours.

Drop in a ready-made AI search box, adapt it with your design system, or call the headless API for full control.

CHOOSE A SURFACE

+ more

CHOOSE A CAPABILITY

// 1. Drop in the ready-made AI search box
<osl-ai-search
  placeholder="Describe the repo you need"
  [filters]="{ license: 'MIT', language: 'TypeScript' }" />

// 2. Swap parts with your own components
<osl-ai-search>
  <ng-template oslResult let-repo>
    <app-repo-card [repo]="repo" />
  </ng-template>
</osl-ai-search>

// 3. Or go headless with the service
const ai = inject(OslAiService);
const results = await ai.search('angular data grid');
Explore AI search in the docs →
3-MIN PRODUCT TOURWatch the walkthrough →

Answers that improve with every interaction

Turn real searches, saves and downloads into a controlled loop that makes ranking sharper while noise falls.

How automatic learning works

Follow each search from captured signal to a safer, more useful answer.

Every interaction is captured.
In search & on the page.

Searches and filtersWhat people type, refine and open.
Saves and downloadsWhat they keep, star and use.

Define learning scopes for users, teams or the whole workspace.

Per user
Per team
Whole workspace

Your rankings improve with every interaction.

> ranking-weights.jsonimproved
> category-labels.jsoncreated
Export datasetsTune your own ranking model on the signals you own.

Product analytics for AI catalogues

See what people try, where they succeed, where they struggle, and what to improve next.

See what people look for

Top queries, empty searches and the stacks your team asks about most.

Measure what gets used

Track saves, ZIP downloads and repos that make it into projects.

Find the gaps

Spot searches with no good answer and topics worth curating.

Works with your logs

Export events to the observability tools you already run.

Enterprise ready.
Future-proof your organisation.

Your AI acts inside the catalogue, learns from real use, keeps every answer sourced, and stays open to your stack.

Private by default

Self-host the catalogue and the AI layer. Your queries and collections stay on your servers.

Any model, any stack

Plug in open or hosted models. Angular, React or plain REST on the frontend.

Bring your own database

Collections, history and embeddings live in your SQL Server or Postgres.

Keeps getting better

Rankings tune themselves from real use, with every change reviewable.

Recent updates and guides

From a six-thousand-template library to README summaries with sources, OpenSourceLabs AI is how teams find the right open source project.

Changelog

Six thousand free templates, now searchable with AI

The template library moved to our own storage, every template got a preview page, and the AI finder matches them to your stack.

Read the update →
Guide

Finding the right library in one question

How AI search reads stars, activity and licences to rank results, and how to steer it with filters.

Read the guide →
Deep dive

README summaries that cite their sources

Why every summary links back to the README lines it used, and how we keep them short.

Read the deep dive →

Built for teams shipping with open source

Frontend teams
“Describe the dashboard you need, get three free templates that match your stack, preview them and download the ZIP, all in one place.”
Template finderExample workflow
Backend teams
“Paste a dependency you are unsure about and ask the repo chat how it handles auth, retries and licences before you add it.”
Chat with a repoExample workflow

START BUILDING

Enhance your catalogue with powerful AI

Explore features