by Deodat-Lawson · MCP Server · ★ 818
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Launchstack The TypeScript engine for AI-native Next.js apps. Ingestion, OCR, RAG, knowledge graph, LLM abstractions, and background jobs — ports-based, framework-agnostic, and designed to be wired into the Next.js app you already have. Quickstart · Packages · Architecture · Reference app · Contributing · Discussions Quickstart ts import { createEngine } from "@launchstack/core"; const engine = createEngine({ db: { url: process.env.DATABASEURL! }, llm: { openai: { apiKey: process.env.OPENAIAPIKEY! } }, embeddings: { indexName: "openai-3-small" }, ocr: { defaultProvider: "DOCLING" }, providers: {}, storage: myStoragePort, // you implement StoragePort (S3, local, etc.) jobs: { dispatcher: inngest }, // or any JobDispatcherPort }); // Use any subsystem const { db } = engine; const results = await engine.rag?
| Stars | 818 |
| Forks | 114 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.685324467317/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-06 |
| Created | 2025-01-01 |
| Platforms | claude-code, docker, mcp, node |
| Est. Tokens | ~4501k |
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LaunchStack is AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workfl. It is categorized as a MCP Server with 818 GitHub stars.
LaunchStack is primarily written in TypeScript. It covers topics such as claude, docker, knowlege-graph.
You can find installation instructions and usage details in the LaunchStack GitHub repository at github.com/Deodat-Lawson/LaunchStack. The project has 818 stars and 114 forks, indicating an active community.
LaunchStack is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to LaunchStack on Agent Skills Hub include c4-genai-suite, flock, full-stack-ai-agent-template. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.