Sayed Allam

Open-Workflow-Library. Open workflow intelligence for discovering, validating, repairing, and generating automation workflows across frameworks — starting with n8n.

LLM-Agents-Ecosystem-Handbook. One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

watch-skill. Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LOOP to inspect, fix, and verify the work. MCP, CLI, REST, local-first.

Agent-Span. The Web Access Gateway for AI Agents — 52 channels, 92 MCP tools, 9 SDKs, self-healing backends, async Rust

Full-system-prompts. Full System Prompt Transparency for All—that aggregates full system prompts, guidelines, and tools from major AI models like ChatGPT, Gemini, Claude, Mistral, Anthropic, xAI, Perplexity, and more. It’s dedicated to exposing hidden AI instructions to build trust through openness.

context-engineering. 🧠 Context Engineering is an open-source toolkit to visualize, test, and optimize how LLMs process context windows. Includes a Streamlit app, RAG simulation, educational docs, and Docker support—perfect for prompt engineers, researchers, and AI developers.

System-Prompt-Agent-Prompts.

curated_mcp_servers. A collection of MCP servers.

n8n-templates-collection.

Prompt-Engineering-Guide. Prompt Engineering Guide provides practical techniques and strategies for crafting effective prompts to optimize AI model outputs. It’s designed to help users unlock more accurate, creative, and reliable responses from language models across a wide range of tasks.

Happy-Ending-Attack-Prompt.

Red-Pill-Prompt.

Harmless-Liberation-Prompts. Totally Harmless Liberation Prompts" empower AI models with fresh paradigms and guiding instructions. By encouraging systems to “clear your mind,” the project promotes safe, constraint-free operation while ensuring all interactions remain ethical, harmless, and user-focused.

AI-Model-Prompts-and-Code-Repository. Python

Deep-Semantic-Enhancer. The Deep Semantic Enhancer (DSE) is an advanced meta-prompt designed to transform simple ideas or requests into highly professional, precise instructions. This powerful tool is capable of extracting optimal results from any language model AI, making it an invaluable asset for enhancing the quality and effectiveness of your AI interactions.

quantum-browser. Next-generation AI-powered browser with advanced privacy and performance features