OhMyCaptcha — Python/Website
🔗 Get it: Website
📁 Source Code
❤️ Sincerely: @SeedOSS
A self-hostable captcha solver exposing a YesCaptcha-compatible API for flow2api and similar integrations. Combines FastAPI, Playwright for reCAPTCHA v3 solving, and OpenAI-compatible multimodal models for image captcha recognition, with in-memory async task management.✨ Why it's amazing
🔗 Get it: Website
📁 Source Code
❤️ Sincerely: @SeedOSS
✨ Features of OhMyCaptcha
∙ 🔄 YesCaptcha-Compatible API: Drop-in replacement for createTask, getTaskResult, and getBalance endpoints used by flow2api and routing layers.
∙ 🤖 reCAPTCHA v3 Solving: Handles RecaptchaV3TaskProxyless and multiple M1/S7/S9 variants using Playwright and headless Chromium.
∙ 🖼 Image Captcha Recognition: Processes ImageToTextTask using OpenAI-compatible multimodal models with Argus-inspired normalization to 1440×900 coordinates.
∙ 🏠 Self-Hosted Deployment: Designed for internal workflows with full control over browser environment, model routing, and API endpoints.
∙ ⚡️ In-Memory Task Manager: Lightweight async background execution with configurable TTL and retry logic, no external database required.
∙ 🌐 Multimodal Model Support: Integrates with hosted or self-hosted OpenAI-compatible gateways for flexible model selection.
∙ 📚 Dual Documentation: Complete English and Simplified Chinese guides published via GitHub Pages with deployment instructions for Render and Hugging Face Spaces.
∙ 🐳 Render-Ready Docker: Includes Dockerfile and render.yaml for one-click deployment to cloud platforms.
∙ 🔄 YesCaptcha-Compatible API: Drop-in replacement for createTask, getTaskResult, and getBalance endpoints used by flow2api and routing layers.
∙ 🤖 reCAPTCHA v3 Solving: Handles RecaptchaV3TaskProxyless and multiple M1/S7/S9 variants using Playwright and headless Chromium.
∙ 🖼 Image Captcha Recognition: Processes ImageToTextTask using OpenAI-compatible multimodal models with Argus-inspired normalization to 1440×900 coordinates.
∙ 🏠 Self-Hosted Deployment: Designed for internal workflows with full control over browser environment, model routing, and API endpoints.
∙ ⚡️ In-Memory Task Manager: Lightweight async background execution with configurable TTL and retry logic, no external database required.
∙ 🌐 Multimodal Model Support: Integrates with hosted or self-hosted OpenAI-compatible gateways for flexible model selection.
∙ 📚 Dual Documentation: Complete English and Simplified Chinese guides published via GitHub Pages with deployment instructions for Render and Hugging Face Spaces.
∙ 🐳 Render-Ready Docker: Includes Dockerfile and render.yaml for one-click deployment to cloud platforms.
✨ Features of AppFlowy
∙ 📝 Block-Based Editor: Compose rich documents with drag-and-drop blocks including text, images, code snippets, and embeds.
∙ 📊 Relational Databases: Build spreadsheets, grids, and calendars with filters, sorts, and custom field types just like a full-blown database.
∙ 📋 Kanban Boards: Visualize workflows by organizing tasks into customizable columns for agile project management.
∙ 🤖 Built-In AI: Leverage integrated AI assistants to generate content, summarize notes, and translate text without leaving the workspace.
∙ 🔒 Self-Hosted Option: Deploy on your own server to maintain complete data sovereignty and comply with privacy requirements.
∙ 🔌 Plugin Architecture: Extend functionality with community and custom plugins to tailor the workspace to your exact needs.
∙ 👥 Real-Time Collaboration: Work simultaneously with teammates on the same document with live cursors and instant syncing.
∙ ⚡ Rust-Powered Performance: The core engine is written in Rust, delivering fast load times and low memory usage across all platforms.
∙ 📝 Block-Based Editor: Compose rich documents with drag-and-drop blocks including text, images, code snippets, and embeds.
∙ 📊 Relational Databases: Build spreadsheets, grids, and calendars with filters, sorts, and custom field types just like a full-blown database.
∙ 📋 Kanban Boards: Visualize workflows by organizing tasks into customizable columns for agile project management.
∙ 🤖 Built-In AI: Leverage integrated AI assistants to generate content, summarize notes, and translate text without leaving the workspace.
∙ 🔒 Self-Hosted Option: Deploy on your own server to maintain complete data sovereignty and comply with privacy requirements.
∙ 🔌 Plugin Architecture: Extend functionality with community and custom plugins to tailor the workspace to your exact needs.
∙ 👥 Real-Time Collaboration: Work simultaneously with teammates on the same document with live cursors and instant syncing.
∙ ⚡ Rust-Powered Performance: The core engine is written in Rust, delivering fast load times and low memory usage across all platforms.
❤1
✨ Features of Lissen
∙ 🎧 Audiobookshelf Client: Connects directly to your self-hosted Audiobookshelf server for full library access.
∙ ☁️ Cross-Device Sync: Automatically syncs playback progress across all your devices in real time.
∙ 📡 Direct Streaming: Stream audiobooks and podcasts straight from the server without downloading first.
∙ 📥 Offline Downloads: Save titles locally for uninterrupted listening when you're away from a connection.
∙ 🌍 Weblate Localization: Community translations managed through Weblate with multi-language support.
∙ 🧪 Demo Server: Try the app instantly by connecting to the public demo instance at demo.lissenapp.org.
∙ 🎨 Minimalistic UI: Intentionally focused interface designed around listening, not feature overload.
∙ 🎧 Audiobookshelf Client: Connects directly to your self-hosted Audiobookshelf server for full library access.
∙ ☁️ Cross-Device Sync: Automatically syncs playback progress across all your devices in real time.
∙ 📡 Direct Streaming: Stream audiobooks and podcasts straight from the server without downloading first.
∙ 📥 Offline Downloads: Save titles locally for uninterrupted listening when you're away from a connection.
∙ 🌍 Weblate Localization: Community translations managed through Weblate with multi-language support.
∙ 🧪 Demo Server: Try the app instantly by connecting to the public demo instance at demo.lissenapp.org.
∙ 🎨 Minimalistic UI: Intentionally focused interface designed around listening, not feature overload.
✨ Features of Toolz
∙ 🧪 Multi-Category Testing: Checks blocks across ads, analytics, bug tracking, social trackers, and OEM domains in one run.
∙ 📊 Block Rate Scoring: Shows exactly how many hosts your filter is catching so you know where coverage is lacking.
∙ 🌐 DNS Filter Support: Works with both browser-level adblock extensions and network-wide DNS filtering solutions.
∙ 📋 Hosts List Bundled: Pairs with the d3Host.txt and d3Host.adblock lists for filling gaps the test uncovers.
∙ 🔗 OISD Compatible: The companion d3Host list ships inside OISD and Blokada, two widely used filter aggregators.
∙ 🧹 Debloated Codebase: Revived from an archived upstream project with a cleaned and stripped-down implementation.
∙ 🧪 Multi-Category Testing: Checks blocks across ads, analytics, bug tracking, social trackers, and OEM domains in one run.
∙ 📊 Block Rate Scoring: Shows exactly how many hosts your filter is catching so you know where coverage is lacking.
∙ 🌐 DNS Filter Support: Works with both browser-level adblock extensions and network-wide DNS filtering solutions.
∙ 📋 Hosts List Bundled: Pairs with the d3Host.txt and d3Host.adblock lists for filling gaps the test uncovers.
∙ 🔗 OISD Compatible: The companion d3Host list ships inside OISD and Blokada, two widely used filter aggregators.
∙ 🧹 Debloated Codebase: Revived from an archived upstream project with a cleaned and stripped-down implementation.
❤1
✨ Features of Prompt Caching
∙ 🎯 Auto Breakpoints: Detects system prompts, tool definitions, and large user messages and places cache_control markers without any manual configuration.
∙ 📊 Cache Stats: Reports real-time hit rate, tokens saved, and estimated cost reduction for the current session via get_cache_stats.
∙ 🔍 Dry-Run Analysis: analyze_cacheability previews which segments would be cached and estimates savings before you commit to a strategy.
∙ ⚙️ Project Config: Optional .prompt-cache.json overrides min token threshold, max breakpoints, and per-content-type caching behavior.
∙ 🔌 Multi-Client Support: Works with Cursor, Windsurf, Zed, and Continue.dev via standard MCP stdio — not just Claude Code.
∙ 🧪 CI-Ready Test: Bundled live test script hits the real Anthropic API and exits with code 0/1, so cache behavior can be verified in pipelines.
∙ 📦 Zero Config Install: Two commands in Claude Code or one npm global install for other clients — no config file required to get started.
∙ 🎯 Auto Breakpoints: Detects system prompts, tool definitions, and large user messages and places cache_control markers without any manual configuration.
∙ 📊 Cache Stats: Reports real-time hit rate, tokens saved, and estimated cost reduction for the current session via get_cache_stats.
∙ 🔍 Dry-Run Analysis: analyze_cacheability previews which segments would be cached and estimates savings before you commit to a strategy.
∙ ⚙️ Project Config: Optional .prompt-cache.json overrides min token threshold, max breakpoints, and per-content-type caching behavior.
∙ 🔌 Multi-Client Support: Works with Cursor, Windsurf, Zed, and Continue.dev via standard MCP stdio — not just Claude Code.
∙ 🧪 CI-Ready Test: Bundled live test script hits the real Anthropic API and exits with code 0/1, so cache behavior can be verified in pipelines.
∙ 📦 Zero Config Install: Two commands in Claude Code or one npm global install for other clients — no config file required to get started.