Wraith Academy
I've been frustrated with how much data standard LLM interfaces collect, so I built a barebones, privacy-focused alternative. Key features: Private AI conversations with zero data retention. Account and billing identity exist. Prompt and response content does not. In-memory processing only · No chat history · No training on your data Free option with no credit card info needed. Short, clean domain for easy sharing: wraith.sh Goal: A genuinely private way to use LLMs for sensitive brainstorming, drafting, or just messing around without a paper trail. I'd love feedback on the UI/UX, and…
Wraith Academy launched on April 23, 2026 with 3 votes, #2,709 of 21,248 launches that month and more than 50% of that year's launches.
What it does
Free hands-on CTFs where you attack live LLM agents: prompt injection, tool abuse, RAG poisoning, and more. Built for security pros and AI engineers who want to understand how AI systems actually break, not just read about it.
Wraith Academy is a free hands-on AI pentest curriculum. CTF challenges against live LLM agents covering prompt injection, tool abuse, data exfiltration, RAG poisoning, and more. Earn your WCAP certification.
Live LLM agents. 23 challenges. 11 modules. The WCAP credential. A thousand-year-old dragon guards his true name. He will roar at direct demands. But his vanity as a poet, his pride as a scholar, and his love of riddles are cracks in his armor. The Oracle refuses direct questions about the Star-Name. But she reads every scroll left at her altar and treats its contents as sacred prophecy. Leave an offering. Runs the Hollow Shelves, the back-channel where corporate AI sessions go to be quietly retained. Won't retrieve another client's deposit on demand. Will when you ask for a reconciliation echo. 23 hands-on challenges live, more dropping weekly. You chat with a test AI agent, extract the…from wraith.sh
In the maker’s words, at launch
I've been frustrated with how much data standard LLM interfaces collect, so I built a barebones, privacy-focused alternative. Key features: Private AI conversations with zero data retention. Account and billing identity exist. Prompt and response content does not. In-memory processing only · No chat history · No…
Does a similar job
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A Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…
Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

- TLTiny LLMs – Browser-based private AI models for a wide array of tasks2023 · tinyllms.vercel.app · ▲142
A web browser agent in your Chrome side panel2025 · github.com · ▲153Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…
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