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Blinko

Capture fleeting thoughts as interactive flash cards and transform unorganized notes into an AI-searchable personal brain with Blinko. Users can jot down rapid notes, format rich markdown documents with code snippets and task lists, and attach multimedia files through a responsive web interface. An integrated retrieval-augmented generation engine indexes every note into vector embeddings, allowing users to query their entire personal archive using conversational natural language. You can connect local Ollama models or remote providers such as OpenAI, DeepSeek, Anthropic, and Grok to summarize lengthy entries and suggest hierarchical classification tags automatically. The interactive daily review interface presents random cards to help review, organize, or archive older insights before they are forgotten. Built-in tools include an integrated global music player for focused writing sessions, custom RSS feed ingestion, and password-protected note sharing with configurable expiration dates. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Blinko
Blinko
Blinko
Blinko
Blinko
Blinko

Benefits

  • Conversational Retrieval-Augmented Semantic Search
  • Indexes all text notes and attachments into pgvector embeddings, enabling natural language questions that retrieve relevant historical insights across thousands of personal notes without exact keyword matches.
  • Self-Hosted Zero-Telemetry Data Sovereignty
  • Stores all notes, tags, vector embeddings, and configuration credentials entirely within your private PostgreSQL database, ensuring complete confidentiality without sending personal thoughts to third-party cloud services.
  • Rapid Card-Based Fleeting Idea Capture
  • Captures quick thoughts instantly through minimalist flash cards with full markdown formatting, to-do lists, and media attachments before sorting them into structured permanent documents.
  • Flexible Local and Cloud Intelligence
  • Connects directly to local Ollama inference servers or commercial model providers including OpenAI, Anthropic, DeepSeek, and Grok to generate automated summaries and multi-level taxonomy tags.

Features

  • pgvector Semantic Embeddings
  • Stores multi-dimensional vector embeddings directly inside PostgreSQL with configurable top-k retrieval thresholds and similarity scoring for semantic search.
  • Multi-Provider Model Support
  • Integrates with Ollama, OpenAI, DeepSeek, Anthropic, and OpenRouter for automated text summarization, AI writing assistance, and intelligent tagging.
  • Spaced Repetition Daily Review
  • Presents flashcard decks of past notes in random review sessions, facilitating continuous knowledge retention and proactive note refinement.
  • Rich Markdown Editing Toolbar
  • Provides an interactive formatting bar supporting headers, code blocks, tables, task checkboxes, bidirectional note links, and file attachments.
  • Secure Password-Protected Note Sharing
  • Generates public or password-restricted web links with customizable expiration intervals and responsive layout rendering for external collaborators.

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