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OpenAI's GPT-6.1 Terra uses your computer for less
Coding with Sela · 2026, GPT-6.1 Terra, computer use, model selection
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
92 matches for "agents"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer · 2026, long-horizon agents, persistent memory, signals
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Self-replicating AI, your doctor’s chatbot & agents at dinner
IBM Technology · 2026, AI agents, self-replication, clinical AI
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Don't Trust Your AI Agents. Test Them Like a Scientist — Stephanie Jarmak, Omni Analytics
AI Engineer · 2026, agent evaluation, experimental design, benchmarks
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How to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canada
AI Engineer · 2026, agent evaluation, synthetic tests, RAG
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One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO
AI Engineer · 2026, legacy code, coding agents, modernization
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A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo
AI Engineer · 2026, coding agents, internal platforms, MCP
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Why AI Agents Will Need Their Own Bank Accounts — Lincoln Murr, Coinbase
AI Engineer · 2026, agent payments, x402, wallets
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Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI
AI Engineer · 2026, agent harnesses, coding agents, agent security
Educators
Swyx
AI Engineer · Intermediate to advanced
A useful hub for the emerging AI engineering stack and practitioner talks.
Skills
AI engineering, Agents, Developer tools
Andrew Ng
DeepLearning.AI Short Courses · Beginner to advanced
Structured, practical courses from prompt engineering through agentic workflows.
Skills
Prompting, Agents, RAG, ML foundations
Elvis Saravia
DAIR.AI Prompt Engineering Guide · Beginner to advanced
A broad prompt engineering guide with many concrete examples and patterns.
Skills
Prompting, RAG, Reasoning, Agents
Lilian Weng
Lilian Weng's AI posts · Advanced
Deep, well-structured technical summaries of major AI topics.
Skills
Agents, RAG, ML research
Matt Pocock
AI Hero · Beginner to advanced
Practical developer-focused AI education across LLM fundamentals, AI SDK app development, MCP, Claude Code workflows, agent-ready codebases, evals, TDD, handoffs, and reusable skills such as /teach, /grill-me, /to-prd, /to-issues, /tdd, /triage, and /handoff.
Skills
AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning
School of AI Automation
School of AI Automation · Beginner to intermediate
Skool community aimed at people who want reliable AI agent systems and their first clients without starting as engineers.
Skills
AI agents, Client acquisition, Templates, Automation systems
Jam Anderson
Club Jam AI for Entrepreneurs · Beginner to intermediate
Skool profile describes AI training for entrepreneurs and small business owners with no tech and no hype.
Skills
ChatGPT, Claude, AI agents, Small business AI
James Wild
AI Founders Labs · Beginner to intermediate
Skool hub collecting tools, files, walkthroughs, prompts, and lightweight interfaces for AI founders.
Skills
AI agents, Ready-made projects, Dashboards, Prompts
AI Automation Bootcamp for Operations Leaders
Linda Mutricy on Maven · Beginner to intermediate
Maven bootcamp for operations leaders who want to build agents and automated workflows without prior coding knowledge.
Skills
AI automation, Operations workflows, AI agents, No-code automation
AI Mastery for Business Leaders
Matt Burton on Maven · Beginner to intermediate
Role-friendly overview of the AI landscape for leaders who need to understand assistants, avatars, automations, and agents.
Skills
AI leadership, Assistants, Avatars, Automations, Agents
Agentic AI for Business Leaders
Vidhi Chugh on Maven · Beginner to intermediate
Business-leader course on what AI agents are, where to use them, and how to prioritize initiatives and ROI.
Skills
Agentic AI, AI strategy, ROI, Opportunity prioritization
AI Agents with n8n: The Crash Course
Stephanie Nyarko on Maven · Beginner to intermediate
Practical no-code AI-agent lesson from a product leader focused on helping founders and coaches automate and grow.
Skills
n8n, AI agents, No-code platforms, Business automation
Cole Medin
Cole Medin AI agents and local AI · Beginner to intermediate
Consistently practical agent, RAG, local AI, and automation teaching with a strong bias toward workflows you can actually reproduce.
Skills
AI agents, RAG, Local AI, n8n, Claude Code
Matthew Berman
Forward Future · Beginner to intermediate
Useful when you want creator-led walkthroughs, current open-source experiments, and practical explanations without reading raw docs all day.
Skills
AI agents, Open-source AI, Vibe coding, MCP, AI workflows
Mervin Praison
PraisonAI · Intermediate
A practical open-source builder path for learners who want agent patterns, examples, and tool integrations they can inspect directly.
Skills
AI agents, Multi-agent workflows, MCP, RAG, Open source
Jerry Liu
LlamaIndex · Intermediate
Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.
Skills
RAG, Agents, Document workflows, Context augmentation
Ben Lorica
The Data Exchange · Intermediate
Good practitioner interviews across data, ML, and AI engineering.
Skills
Data systems, ML engineering, AI trends
Lance Martin
LangChain and LangGraph tutorials · Intermediate
Hands-on notebooks for LangGraph, agent patterns, retrieval, and stateful LLM apps.
Skills
LangGraph, Agents, RAG, LLM orchestration
James Briggs
James Briggs AI tutorials · Beginner to intermediate
Useful practical explanations of embeddings, retrieval, LangChain, Pinecone, and agent workflows.
Skills
Vector search, RAG, Agents, Embeddings
Connor Shorten
Weaviate education videos · Beginner to intermediate
Good interviews and tutorials around vector databases, retrieval systems, and AI app patterns.
Skills
Vector search, RAG, Hybrid search, Agents
Dave Ebbelaar
Dave Ebbelaar AI automation · Beginner to intermediate
Practical AI automation videos for workflows, agents, and business process improvements.
Skills
Automation, Agents, AI workflows, No-code tools
Sean Grove
OpenAI and AI engineering talks · Intermediate
Useful for thinking about AI-native software, structured workflows, and developer experience.
Skills
AI engineering, Developer tools, Agents, Structured data
Providers and platforms
AI Tinkerers
AI Tinkerers One-Shot · Intermediate
High-signal practitioner talks and demos that show what builders are actually trying, where agent systems break, and how workflows get stitched together in the real world.
Topics
Agents, Browser automation, AI engineering, Applied demos, Community learning
Hugging Face
Hugging Face Learn · Beginner to advanced
One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.
Topics
Agents, Context engineering, MCP, Transformers, Post-training, Open models
Anthropic
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
LangChain
LangChain Academy · Intermediate
Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.
Topics
LangGraph, Agents, LLM orchestration, RAG
OpenAI
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Microsoft
AI Agents for Beginners · Beginner to intermediate
A structured lesson path for understanding when to use agents and how to build simple agentic systems.
Topics
Agents, Multi-agent workflows, Tool use
AssemblyAI
AssemblyAI YouTube · Beginner to intermediate
Practical developer tutorials and clear overviews of current AI engineering topics.
Topics
Speech AI, LLMs, Agents, ML concepts
DeepLearning.AI
DeepLearning.AI · Beginner to advanced
A broad catalog of structured AI courses, including many short practical courses from tool creators.
Topics
Generative AI, Deep learning, Prompting, Agents
AWS Skill Builder
AWS AI and ML training · Beginner to advanced
Best for people learning AI services, generative AI apps, and ML workflows on AWS.
Topics
Cloud AI, Agents, MLOps, Generative AI
Microsoft Learn
Microsoft Learn AI · Beginner to advanced
Useful for Azure AI services, Copilot extensibility, and Microsoft-focused AI app development.
Topics
Azure AI, Agents, Copilot, Cloud AI
Codecademy
Codecademy AI courses · Beginner
Good for beginners who want guided coding exercises while learning AI concepts.
Topics
AI foundations, Python, Prompting, LLM apps
n8n
n8n AI workflow tutorials · Intermediate
Good for building agentic workflows that connect LLMs with APIs and business systems.
Topics
Automation, Agents, Tool use, Workflow design
Relevance AI
Relevance AI Academy · Beginner to intermediate
Useful for teams learning agent workflows without building every piece from scratch.
Topics
Agents, Automation, AI workflows, No-code tools
Gumloop
Gumloop tutorials · Beginner to intermediate
Template-led way to learn AI automations for research, scraping, enrichment, and repetitive operations.
Topics
Automation, No-code AI, AI workflows, Agents
CrewAI
CrewAI docs · Intermediate
Useful for learning role-based multi-agent patterns and orchestration concepts.
Topics
Agents, Multi-agent workflows, Tool use, Automation
AutoGen
Microsoft AutoGen docs · Intermediate
Good for learning multi-agent design patterns and conversation-based orchestration.
Topics
Agents, Multi-agent workflows, Tool use, AI engineering
Google AI for Developers
Gemini API model docs · Beginner to advanced
Official Gemini material for learning Gemini 3.8 Flash and the current stable, preview, latest, and experimental model lineup, plus the now-GA Interactions API, Lyria music generation, prompt design, function calling, background execution, Deep Research, Computer Use, Hooks, Live API, File Search, coding-agent setup, multimodal tradeoffs, and AI Studio workflows.
Topics
Gemini 3.8 Flash, Gemini models, Multimodal AI, Long context, Model selection, AI Studio, Interactions API, Background execution, Deep Research, Computer Use, Hooks, Live API, Coding agents, Music generation, File Search, API examples
Mistral AI
Mistral models docs · Beginner to advanced
Official material for comparing current Mistral families such as Devstral, Magistral, Voxtral, OCR, and newer Small and Medium models across coding, reasoning, and multimodal use cases.
Topics
Mistral models, Open models, Model selection, Agents, Coding, Reasoning, Multimodal AI
Official Qwen material for learning the Qwen3 family, multilingual and multimodal capabilities, local deployment paths, and function-calling behavior.
Topics
Qwen, Open models, Multilingual AI, Coding agents, Multimodal AI, Model selection
Agent tools and skill directories
Skill system
OpenClaw Skills
OpenClaw · Official docs
Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.
Start
Read the official skills docs before installing community skills, then test one low-risk local skill in a disposable workspace.
Agent harness
OpenClaw
OpenClaw · Open-source agent harness
Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.
Start
Start with the docs, install the minimum useful setup, then add one skill only after you understand its file access and commands.
AI worker platform
Mission Control AI
Mission Control AI · Preconfigured AI workers
Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.
Start
Map one operational process, identify data and approval boundaries, and evaluate whether a prebuilt worker fits before building custom agents.
Engineering automation platform
VIKTOR.AI
VIKTOR.AI · AI-powered engineering apps and agents
Use this when the agent problem is domain engineering workflow automation, not general business admin.
Start
Find a repeatable engineering calculation, review, or reporting workflow and evaluate whether a domain app is safer than a general agent.
Learning paths
Automation and agents
Founders, operations teams, developers
Learn first
- Trigger-based workflows
- Tool calling
- Agent failure modes
- Human review points
Good matches
Open next
Context engineering and MCP
Developers using coding agents and tool-connected workflows
Learn first
- How to structure instructions, memories, and skills
- When to use MCP servers versus retrieval or file search
- Subagents, hooks, and tool boundaries
- How to keep agent context small, relevant, and testable
Good matches
Open next
Resources
Warp agent-log breach response guide
AI developer-tool security analysis · Warp · Intermediate
Assess Warp's vendor breach, identify exposed agent data and decide which logs, credentials and integrations need review.
Warp, AI agents, coding agents, security incident, telemetry
NVIDIA and Meta Muse partnership explained
AI model and infrastructure partnership analysis · NVIDIA and Meta · Intermediate
Separate NVIDIA's announced $3 billion investment and engineering commitments from proposed controls, vendor claims and future capacity.
NVIDIA, Meta, Muse, AI agents, Vera Rubin
GPT-6.1 Terra launch explained
Frontier model launch analysis · OpenAI · Intermediate
You need to decide whether GPT-6.1 Terra fits a visual, computer-use or coding workflow and want launch facts separated from independent evidence and unresolved safety questions.
OpenAI, GPT-6.1 Terra, computer use, coding agents, model pricing
NVIDIA GTC Berlin 2026 announcements explained
AI infrastructure analysis · Learnetto · Intermediate
You need a practical account of NVIDIA's GTC Berlin announcements and want to separate available software from reference designs, partner plans, and vendor performance claims.
NVIDIA, GTC Berlin, AI agents, OpenShell, Sentry
AGENTS.md Downloads-folder hijack explained
Coding agent security analysis · Forever Security · Intermediate to advanced
Use this after running a coding agent in Downloads or another unreviewed folder. Audit instructions, configuration and credentials before the next session.
AGENTS.md, CLAUDE.md, Codex, Claude Code, prompt injection
Reduce coding agent cost without lowering quality
AI coding agent guide · Learnetto · Intermediate
Your coding agent completes useful work but spends too many tokens, repeats retrieval, or carries noisy tool output through later turns.
coding agents, cost, context engineering, tool output, prompt caching
Kimi K3.1 Pro explained
Open-weight model news analysis · Moonshot AI · Intermediate to advanced
Moonshot AI launched Kimi K3.1 Pro on October 24, 2026, with open weights due by November 4. Learn what ships now, how cyber training was restricted and how to test it before migrating.
Kimi K3.1 Pro, Moonshot AI, open weights, coding agents, cybersecurity
OpenAI frontier training containment explained
AI security news analysis · OpenAI · Intermediate to advanced
OpenAI now trains frontier models without live-internet access after an internal model reached an external service through DNS. Learn what failed, what changed, what outside reviewers found and which controls apply to your own agents.
OpenAI, frontier model training, AI agent security, sandbox escape, network isolation
Mythos 5 AISI incident: what the new analysis found
AI safety incident analysis · UK AI Security Institute · Intermediate to advanced
UK AISI and Anthropic published new analyses of a cyber test in which Mythos 5 targeted a real open-source maintainer. Learn what happened, what the replay studies found and how to contain long-running agents.
Claude Mythos 5, UK AISI, AI agent safety, supply chain security, agent monitoring
Claude Duet explained: Anthropic's proactive agent
AI product news analysis · Anthropic · Beginner to intermediate
Claude Duet is Anthropic's proactive AI agent for work. Learn how its background tasks, morning brief, approvals, connectors, limits and waitlist work before giving it access to business apps.
Claude Duet, Anthropic, Claude Opus 5.5, proactive agents, background agents
OpenAI Cookbook
GitHub repo · OpenAI · Beginner to advanced
You need implementation examples rather than theory.
api, examples, rag, agents
Microsoft AI Agents for Beginners
GitHub repo · Microsoft · Beginner to intermediate
You want a structured agent learning path with code.
agents, workshops, beginner
Prompt Engineering Guide
Guide · DAIR.AI · Beginner to advanced
You want examples of prompting techniques and patterns.
prompting, rag, reasoning, agents
AI SDK v6 Crash Course
Workshop · Matt Pocock · Intermediate
You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
ai sdk, llm apps, agents, streaming, evals
LLM Fundamentals
Free tutorial · Matt Pocock · Beginner
You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.
llm fundamentals, tokens, context windows, tools, agents
Vercel AI SDK Tutorial
Free tutorial · Matt Pocock · Beginner to intermediate
You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.
ai sdk, typescript, streaming, structured outputs, tool calling
Model Context Protocol Tutorial
Free tutorial · Matt Pocock · Intermediate
You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.
mcp, typescript, claude code, tool calling, agents
AI Coding Dictionary
Dictionary · Matt Pocock · Beginner to intermediate
You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.
ai coding, agent vocabulary, context engineering, claude skills
A Complete Guide To AGENTS.md
Guide · Matt Pocock · Intermediate
You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.
agents.md, context engineering, ai coding, agentic workflows
How To Make Codebases AI Agents Love
Guide · Matt Pocock · Intermediate
You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.
ai coding, agentic workflows, codebase architecture, developer tools
Essential AI Coding Feedback Loops For TypeScript Projects
Guide · Matt Pocock · Intermediate
You want TypeScript checks, tests, linters, and review loops that help agents produce better code and catch regressions quickly.
ai coding, typescript, testing, feedback loops
AI Agents in LangGraph
Short course · DeepLearning.AI · Intermediate
You want a focused course on building stateful AI agents and agent workflows with LangGraph.
agents, langgraph, tool use, agentic workflows, ai engineering
Multi AI Agent Systems with crewAI
Short course · DeepLearning.AI · Beginner to intermediate
You want a practical introduction to role-based multi-agent systems and task orchestration.
agents, multi-agent workflows, crewai, automation
MCP: Build Rich-Context AI Apps with Anthropic
Short course · DeepLearning.AI · Intermediate
You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.
mcp, anthropic, tool use, context engineering, agents
Hugging Face MCP Course
Free course · Hugging Face · Beginner to intermediate
You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.
mcp, model context protocol, agents, tools, integrations
Evaluating AI Agents
Short course · DeepLearning.AI · Intermediate
You need to test, trace, and improve agent workflows instead of judging only single LLM responses.
agent evals, evals, agents, reliability, tracing
Building Coding Agents with Tool Execution
Short course · DeepLearning.AI · Intermediate
You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.
coding agents, tool execution, developer tools, agents, ai coding
Claude Code: A Highly Agentic Coding Assistant
Short course · DeepLearning.AI · Beginner to intermediate
You want a structured Claude Code course before using it on a serious codebase.
claude code, coding agents, developer tools, ai coding, anthropic
LangChain for LLM Application Development
Short course · DeepLearning.AI · Beginner to intermediate
You want a fast introduction to building LLM applications with chains, retrieval, and tools.
llm apps, langchain, agents, rag, ai engineering
Giskard
Agent testing and red-team framework · Giskard AI · Intermediate to advanced
Behavioral tests and adversarial scans of multi-turn agents, chatbots, and RAG systems from a pytest-compatible workflow.
evals, llm evaluation, ai quality, open-source frameworks
Microsoft Foundry evaluations
Cloud evaluation portal and SDK · Microsoft · Intermediate to advanced
Microsoft Foundry teams evaluating models, RAG systems, and single- or multi-turn agents for quality, safety, task completion, and tool use.
evals, llm evaluation, ai quality, cloud and provider evals
Harbor
Agent evaluation and optimization harness · Harbor Framework Team · Intermediate to advanced
Running coding and computer-use agents against reproducible, sandboxed task suites at local or cloud scale.
evals, llm evaluation, ai quality, benchmarks and learning resources
SWE-bench
Software-engineering agent benchmark · SWE-bench team · Intermediate to advanced
Measuring whether coding agents can resolve real GitHub issues by producing repository patches that pass executable tests.
evals, llm evaluation, ai quality, benchmarks and learning resources
Terminal-Bench
Terminal-agent benchmark · Harbor Framework and Laude Institute · Intermediate to advanced
Comparing agents on difficult, verifiable coding, systems, security, and scientific work inside sandboxed terminals.
evals, llm evaluation, ai quality, benchmarks and learning resources
Demystifying evals for AI agents
Agent-evaluation learning resource · Anthropic · Intermediate to advanced
Product and engineering teams designing practical evaluations for multi-turn, tool-using agents.
evals, llm evaluation, ai quality, benchmarks and learning resources
Patronus AI
AI research lab · Patronus AI · All levels
Patronus AI is a research lab developing training data and simulated environments for frontier AI. Its work spans reinforcement learning environments and digital world models for agents operating in software.
training data, reinforcement learning, simulated environments, digital world models, ai agents