TimeCapsule-SLM is a comprehensive AI-powered platform that democratizes research and learning through innovative tools and collaborative features. Built with Next.js and modern web technologies, it provides researchers, educators, and learners with powerful capabilities for knowledge discovery and sharing.

• Advanced AI-powered research platform
• Generate novel insights and discover hidden patterns
• Collaborative knowledge discovery
• Export/import research sessions as TimeCapsules
• Integration with local knowledge base

• Interactive AI-guided learning experiences
• Create structured learning paths with videos, documents, and AI assistance
• Timestamp-controlled video segments for focused learning
• AI-powered concept explanations and contextual help
• Sequential frame navigation with goal-oriented learning

• In-browser RAG (Retrieval-Augmented Generation)
• Upload and search your own documents
• Privacy-first approach - your data stays local
• Semantic search capabilities
• Integration with research and learning workflows

• Support for multiple AI providers (Ollama, LM Studio, OpenAI)
• Local LLM support for privacy
• Contextual AI assistance throughout the platform
• Smart concept recommendations

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

• Home: Landing page with feature overview
• DeepResearch: AI-powered research platform
• AI-Frames: Interactive learning experience builder
• Vision & Roadmap: Project vision and development roadmap

• Next.js 14: React framework with App Router
• TypeScript: Type-safe development
• Tailwind CSS: Utility-first styling
• Radix UI: Accessible component primitives
• Vector Store: In-browser document processing and search

AI-Frames allows you to create structured learning experiences:

1. Create Frames: Each frame contains a specific learning goal
2. Add Content: Include videos (with timestamp control), documents, and context
3. AI Assistance: Get contextual help and concept explanations
4. Sequential Learning: Build connected learning paths
5. Export/Import: Share learning experiences via TimeCapsules

Frame Title: "GPT-2 Model Loading from Scratch"
Goal: Understanding model initialization
Information: Context and background
Video: YouTube video with specific timestamp
AI Concepts: Related topics for exploration
Takeaways: Key learning points

TimeCapsules are comprehensive exports that include:

• Research topics and results
• Knowledge base documents
• AI-Frames learning paths
• Session metadata and configuration

We welcome contributions! Please see our contributing guidelines and join our community.

Apache 2.0 Licensed • Community driven • Optional paid add-ons

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.