Graplify

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8. RETVec converts email text into vector embeddings that survive obfuscation. Misspellings, special characters, Unicode lookalikes: all evasion tactics that fool keyword filters. RETVec's embeddings stay accurate because they encode meaning, not literal characters.

How does Gmail block 100 million spam messages every day without ever reading your email? The answer is a layered pipeline that kills most spam before the content classifier ever fires. Here's how it works:

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Github: github.com/Anil-matcha/Op…

Midjourney charges $10/month. Freepik AI starts at $20/month. Both lock content behind filters, usage caps, and subscription terms. Open-Generative-AI ships as a local desktop app. No subscription. 9,022 stars. One-click installer. macOS, Windows, Linux. No terminal required. Here is what it does: → 200+ AI models: Flux, Kling, Sora-compatible, Midjourney-style generators, and more → Image Studio: text-to-image with no content filters or restrictions → Video Studio: text-to-video and image-to-video with jointly generated audio → Lip Sync Studio: animate portrait images with any audio track → Cinema Studio: cinematic sequence generation and scene assembly → Hosted web version also available, no install required Here's the wildest part: The model API layer connects to muapi.ai, which means generation runs through external endpoints rather than fully local inference. Free tier included. No subscription required. Midjourney Basic: $10/month. Freepik AI: $20/month. Open-Generative-AI: $0. Your desktop. Your workflow. 9,022 stars. Actively maintained. MIT licensed. Open source. (link in the comments)

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Firecrawl just shipped a Rust PDF parser. The gap over the previous version is not close. 5x faster PDF to Markdown. Full table extraction. Formulas preserved. Zero config. PDF parsing was the weak link in most AI document pipelines. This closes it.

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1Password charges $3.99/month. LastPass starts at $3/month. And every password stored in LastPass was stolen in August 2022. Encrypted vaults. Customer metadata. All of it. There is a free alternative. Self-hosted. Bitwarden-compatible. Runs on 200MB of RAM. It's called Vaultwarden. 58,983 stars on GitHub. Install it. Point the Bitwarden app at your server. Connect all devices. That's it. Here is what it does: → Works with every official Bitwarden client: Chrome extension, Firefox, Safari, iOS, Android, desktop → End-to-end AES-256 encrypted vault storage, keys never leave your server → Two-factor authentication via TOTP, email, Duo, and YubiKey hardware keys → Password sharing via shared vaults across family and teams → Built-in password generator for strong, unique credentials → File and photo attachments with encrypted storage → Emergency access: designate trusted contacts who can request vault access → Admin dashboard for user and organization management → Docker deployment in minutes on any VPS → Runs on 200MB of RAM, suitable for Raspberry Pi Here's the wildest part: Every official Bitwarden app works with Vaultwarden out of the box. The self-hosted server is API-compatible. Switch from the official Bitwarden cloud or from 1Password and all your existing clients work immediately. 1Password: $3.99/month. $47.88/year. LastPass Premium: $3.00/month. $36/year. Vaultwarden: $0. Unlimited passwords. Unlimited devices. On hardware you control. 58,983 stars. Rust binary. 200MB RAM. AGPL-3.0 licensed. Self-hosted. Community-driven. 100% Open Source. (Link in the comments)

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Someone just built a desktop app that reads all your documents and builds a structured wiki from them automatically. Drop in a PDF. An entry appears. Drop in another. The wiki links them. Come back next week after adding 20 more documents. The knowledge graph has grown. It's called LLM Wiki. Here's what it actually does: → Reads PDFs, docs, and files from a local folder and uses an LLM to extract structured knowledge → Builds and maintains persistent wiki pages that update as your document library grows → Generates a knowledge graph that links related entries across documents → Browser extension for clipping web content directly into the wiki → Works with any LLM API: OpenAI, Anthropic, Gemini, DeepSeek, local Ollama models → Desktop app built with Tauri, runs fully offline if you use a local model → Community feed shows what other users are building with their wikis (opt-in) Here's the part that's non-obvious: The wiki is persistent. Most AI chat sessions are stateless. You ask, it answers, nothing accumulates. LLM Wiki is the opposite. Every document you add is permanently indexed and woven into a growing knowledge structure. This is closer to building a second brain than using a chat interface. 2,700+ stars on GitHub. GPL-3.0 licensed. Free and open source. (Link in the comments)