AI Agents: Key Concepts and How They Overcome LLM Limitations
An AI agent is an autonomous software entity that is often used to augment a large language model. Here's what developers need to know.
Stop learning frameworks
We are developers. We need to stay up to date with technology. Every day, we learn programming languages, frameworks, and libraries. The more modern tools we know — the better. Keeping up to date with Angular, React, Vue, Riot, Ember, Knockout is fun. But we are wasting our time.
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
LLM Agents are simply Graph — Tutorial For Dummies
Ever wondered how AI agents actually work behind the scenes?
LLM Agents are simply Graph — Tutorial For Dummies
Ever wondered how AI agents actually work behind the scenes?
trycua/acu
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
gavischneider/awesome-llm-wiki
A curated list of foundational blueprints, functional frameworks, and technical guides for building compounding, AI-compiled knowledge bases.
Multi-agentic Software Development is a Distributed Systems Problem (AGI can't save you from it)
Recently, I've been thinking a lot about scaffolding and languages for managing systems of LLMs coordinating with each other — new programming languages might be the ideal solution for this area.
12britz/awesome-free-models
A curated list of free AI models, APIs, and tools you can use without paying a cent.
AI Learning Resources & Guides from Anthropic
Access comprehensive guides, tutorials, and best practices for working with Claude. Learn how to craft effective prompts and maximize AI interactions in your workflow.
Do Frameworks Matter Anymore?
I'm not trying to be facetious. I want to really want consider whether or not, in 2026, in the age of vibe coding, agentic programming, loop or graph or whatever diagrammatic metaphor-based engineering is most popular, does it matters what web framework you use? More importantly (to me and my particular interests), and at the risk of Betteridge-ing myself: should we make new frameworks?
What is Agentic AI? Examples, Use Cases, and Platforms [wcyear]
Everything you need to know about agentic AI solutions, including real-life examples of use cases, workflows, and frameworks.
MCP servers vs. skills: Choosing the right context for your AI | Red Hat Developer
Large language models (LLMs) are efficient general-purpose tools, but they work much better when you give them the right context
[Keynote 04] AgentSociety: Exploring Large Language Model Agents for Piloting Social Experiments
freestylefly/wesight
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
As the title says, I have been exploring theory about AI agents and LLMs for a while and I want to learn frameworks and actually build some solid…