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Sayed Allam

@oxbshwdeveloper
AI Engineer building LLM agents, RAG systems, local AI agents, automation workflows, and evaluation-driven AI systems.
📍 Earthx.com/Sayedevv
6
projects
1,800
stars
112
followers

Public projects

Open-Workflow-Library★ 557
Open workflow intelligence for discovering, validating, repairing, and generating automation workflows across frameworks — starting with n8n.
Pythonai-agentsai-agents-automationai-agents-framework
LLM-Agents-Ecosystem-Handbook★ 555
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Pythonaiai-agentai-agents
watch-skill★ 487
Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence and proves work with deterministic contracts, not model opinion. DeepWatch is the agent workspace built on DeepSeek Harness. Python + npm, MCP, CLI, REST, Web.
Pythonagent-observabilityagent-skillsagentic-ai
Agent-Span★ 43
The Web Access Gateway for AI Agents — 52 channels, 92 MCP tools, 9 SDKs, self-healing backends, async Rust
Rustai-agentsai-toolsapi
Full-system-prompts★ 38
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★ 37
🧠 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.
Python

Likely stack

ClaudeOpenAIMistralMCP
Inferred from repo topics and descriptions; the owner can edit after claiming.