A curated, structured, and continuously updated map of security risks, controls, benchmarks, architectures, and research for agentic, multi-agent, tool-using, self-improving AI systems. 🌟 Star if you like it!

agentic-securityai-securityawesome-listsecurity

awesome-ai-scientists

Repo · 19 stars · TypeScript

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A curated collection of resources for building “AI Scientist” systems: AI that assists scientific discovery through literature intelligence, hypothesis generation, experiment planning, tool-use, evaluation, and scientific communication. 🌟 Star if you like it!

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Awesome-Generative-AI

Repo · 33 stars

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A repository dedicated to showcasing and exploring the fascinating world of generative artificial intelligence. 🌟 Star if you like it!

aiai-agentsawesome-listfirst-time-contributorsgenerative-ai

awesome-physical-ai

Repo · 163 stars · MDX

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A curated list of Robotics + AI resources to learn, build, deploy, and stay current in Physical AI / Embodied AI. 🌟 Star if you like it!

aiawesome-listembodied-aifirst-time-contributorsphysical-ai

Awesome-Prompt-Engineering

Repo · 113 stars · Python

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Awesome-Prompt-Engineering - This repository includes resources for prompt engineering. 🌟 Star if you like it!

aiai-agentsawesome-listfirst-time-contributorsprompt-engineering

awesome-recursive-self-improvement

Repo · 17 stars · JavaScript

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A curated list of recent AI resources on recursive self-improvement, self-evolving agents, test-time adaptation, experience learning, self-refinement, and governed AI improvement loops.

aiawesomerecursive-self-improvementself-evolving

About

Natasha Newbold works as a Senior AI Engineer on independent projects from London, United Kingdom. Known on GitHub as natnew, Natasha maintains open lists of resources on agentic AI security, physical AI, and prompt engineering. Natasha's current work centers on spatial, artificial, and physical intelligence.