Learn AI and LLMs from scratch using free resources

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Real-world AI workflows for creators.

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

A practical framework for AI-Assisted Research in Mathematics and Machine Learning

self-healing and self-learning loop for coding agents

SQL transactions learning tool (AI ready)

The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.

A collection of servers which are deliberately vulnerable to learn Pentesting MCP Servers.

BlenderLore: Learning 3D Coding from Internet Tutorial Videos.

Memory that learns what works.

:bookmark: Personal notes: today I learned

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

The first AI plugin that speaks first. Code-enforced learning + active forgetting + PAC (Proactive Accountability Challenge). Works with Claude Code, Gemini CLI, Hermes, OpenClaw.

Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.

A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI agents, and world models — with schemas, 159 skill cards, benchmarks, and CI.

A collection of notes on Data Science

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.

Solid Tumor Associative Modeling in Pathology

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning