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🗺️ Logseq-Python Roadmap

Current Version: 0.4.0
Status: Production-ready with comprehensive feature set

✅ Recently Completed

v0.4.0 - Warp Terminal Integration (January 2025)

  • ✅ 7 pre-built workflows for common tasks
  • ✅ One-command access via Cmd+P in Warp
  • ✅ Comprehensive documentation and quick reference
  • ✅ Customizable YAML workflow configuration
  • ✅ Daily routines, batch processing, content enrichment support

v0.3.x - Advanced Content Processing

  • ✅ Async rate-limited queue system for large graphs
  • ✅ YouTube subtitle extraction with fallback handling
  • ✅ Twitter/X content extraction via oEmbed API
  • ✅ PDF metadata extraction and preview
  • ✅ Topic extraction and classification
  • ✅ Builder DSL with diagrams (Mermaid, Graphviz, PlantUML)

v0.2.x - Pipeline Framework

  • ✅ Complete ETL pipeline system
  • ✅ 8 filter types with composition
  • ✅ Content extractors (URL, YouTube, Twitter, GitHub)
  • ✅ Content analyzers (sentiment, topics, summary)
  • ✅ CLI with rich terminal interface

🎯 Short-term Goals (Next 3 Months)

1. Enhanced ML/AI Integration 🤖

Priority: High
Effort: Medium

  • OpenAI/Anthropic API integration for:
    • Semantic summarization
    • Advanced topic extraction
    • Content classification
    • Q&A over knowledge graph
  • Local LLM support (llama.cpp, Ollama)
  • Configurable model selection per task
  • Token usage tracking and cost estimation

Use Cases:

  • Generate intelligent summaries of long articles
  • Extract key concepts from research papers
  • Answer questions using graph as context
  • Classify and tag content automatically

2. Vector Search & Semantic Similarity 🔍

Priority: High
Effort: High

  • Embedding generation for blocks and pages
  • Vector database integration (ChromaDB, FAISS, Qdrant)
  • Semantic search API
  • Similar content discovery
  • Automatic linking suggestions
  • Concept clustering visualization

Use Cases:

  • Find semantically related notes
  • Discover connections between ideas
  • Suggest relevant backlinks
  • Cluster knowledge by themes

3. Enhanced PDF & Document Processing 📄

Priority: Medium
Effort: Medium

  • Full PDF text extraction (PyPDF2, pdfplumber)
  • PDF table extraction and parsing
  • Image extraction from PDFs
  • DOCX, EPUB, markdown file import
  • Citation extraction and formatting
  • Automatic bibliography generation

Use Cases:

  • Import research papers with proper citations
  • Extract tables and figures from documents
  • Build literature review databases
  • Academic note-taking workflows

🚀 Medium-term Goals (3-6 Months)

4. Interactive TUI (Text User Interface) 💻

Priority: Medium
Effort: High

  • Full-featured terminal UI using textual
  • Navigate pages and journals
  • Edit content with markdown rendering
  • Template management
  • Task dashboard with live updates
  • Graph visualization in terminal

Use Cases:

  • Work with Logseq entirely from terminal
  • Rapid note-taking without GUI
  • Server-based Logseq access
  • Vim-style keyboard navigation

5. Web Dashboard & API Server 🌐

Priority: Medium
Effort: High

  • FastAPI-based REST API
  • Real-time WebSocket updates
  • Web-based dashboard with analytics
  • Multi-user support
  • Authentication and permissions
  • GraphQL API option

Use Cases:

  • Remote access to Logseq graph
  • Share specific pages/sections
  • Team collaboration features
  • Mobile-friendly interface

6. Distributed Processing ⚡

Priority: Low
Effort: High

  • Celery task queue integration
  • Dask for parallel processing
  • Redis caching layer
  • Background job scheduling
  • Progress tracking dashboard
  • Horizontal scaling support

Use Cases:

  • Process massive graphs (10k+ pages)
  • Batch content extraction at scale
  • Scheduled maintenance tasks
  • Multi-tenant processing

🔮 Long-term Vision (6-12 Months)

7. Audio & Video Processing 🎥

  • Audio transcription (Whisper, AssemblyAI)
  • Video frame extraction
  • Automatic timestamping
  • Speaker diarization
  • Podcast/lecture note generation

8. Image Processing & OCR 📸

  • OCR for handwritten notes
  • Image classification and tagging
  • Diagram extraction and parsing
  • Screenshot annotation
  • Visual search

9. Advanced Analytics & Insights 📊

  • Knowledge graph metrics (centrality, clustering)
  • Temporal analysis (note-taking patterns)
  • Productivity analytics
  • Learning curve visualization
  • Predictive suggestions

10. Plugin System 🔌

  • Plugin architecture and API
  • Community plugin registry
  • Hot-reload plugin development
  • Plugin marketplace
  • Template and theme system

🤝 Community Contributions

We welcome contributions in any of these areas:

High-Impact Opportunities

  1. ML/AI Integration: Add LLM providers (Gemini, Claude, local models)
  2. Vector Search: Integrate alternative vector databases
  3. Content Extractors: Add support for more platforms (Reddit, Notion, etc.)
  4. Workflows: Create and share Warp/terminal workflows
  5. Documentation: Tutorials, guides, video walkthroughs

Good First Issues

  • Add new content analyzers (readability, complexity)
  • Improve error handling and logging
  • Add unit tests for uncovered areas
  • Create example scripts for specific use cases
  • Improve documentation with examples

📋 Feature Requests

Have an idea? Open an issue with the enhancement label!

Template:

**Feature**: Short description
**Use Case**: Why is this useful?
**Priority**: High/Medium/Low
**Effort**: Small/Medium/Large
**Alternative Solutions**: What have you tried?

🎯 Current Focus

Q1 2025: ML/AI Integration + Vector Search
Q2 2025: Enhanced Document Processing + TUI
Q3 2025: Web Dashboard + API Server
Q4 2025: Plugin System + Advanced Analytics

📊 Project Metrics

  • Test Coverage: 80%+
  • Documentation: Comprehensive (15+ guides)
  • Examples: 20+ working examples
  • Workflows: 7 Warp workflows
  • Supported Content Types: YouTube, Twitter, PDF, GitHub, URLs
  • Analyzers: Sentiment, Topics, Summary, Structure
  • Filter Types: 8 composable filters
  • Active Users: Growing community

💡 How to Contribute

  1. Pick a feature from this roadmap
  2. Open a discussion to coordinate approach
  3. Submit a PR with tests and documentation
  4. Share your workflow if creating custom integrations

See CONTRIBUTING.md for detailed guidelines.

📝 Version History

  • v0.4.0: Warp terminal integration
  • v0.3.1: Async processing, subtitle extraction, topic improvements
  • v0.3.0: Comprehensive content processor
  • v0.2.0: Pipeline framework
  • v0.1.0: Initial release with task management

Maintained by: @thinmanj
Repository: logseq-python-library
License: MIT