Know
Imbila.AI

Practical AI knowledge for teams that build. Explainers, framework guides, and decision tools — no hype, just the parts that matter.

10

Explainers

Q2

2026

Open

Access

01 · Explainers

What we've been writing about.

Each explainer is a standalone deep-dive into an AI technology, framework, or concept — written to be useful, not to sell anything.

Agents Frameworks Comparison

Top Agent Frameworks — Q2 2026

The top 10 autonomous agent frameworks ranked by OpenAI and Gemini, compared side by side. Production depth, architectural paradigms, and where the two models agree — and where they don't.

LangChain Framework Deep Dive

LangChain Explained

The framework that makes AI agents buildable, debuggable, and deployable. Five core concepts that handle 90% of use cases, the full ecosystem from library to platform, and an honest decision guide.

llama.cpp Local AI Deep Dive

llama.cpp Explained

The open-source C/C++ engine that made running LLMs on your own hardware possible. GGUF quantisation, the Ollama ecosystem, hardware requirements, and when local inference beats the cloud.

ARC-AGI-3 Explainer

ARC-AGI-3 Explained

The first interactive reasoning benchmark — and the hardest reality check for AGI claims

Claude Code Skills Explainer

Claude Code Skills Explained

Turn your AI coding agent into a specialist. On demand.

Cloudflare AI Explainer

Cloudflare AI Explained

Serverless AI inference, agents, and RAG — running on the network that powers 20% of the internet

NVIDIA DLSS 5 DLSS 5 Explainer

NVIDIA DLSS 5 Explained

Neural rendering for visual fidelity — and the firestorm it ignited

LiteParse Explainer

LiteParse Explained

Fast, local document parsing for AI agents

NVIDIA NemoClaw NemoClaw Explainer

NVIDIA NemoClaw Explained

Secure, sandboxed infrastructure for always-on AI agents

Microsoft Teams as an AI Agent Channel an Agent Channel in Teams Explainer

Microsoft Teams as an AI Agent Channel

How to build a production-grade AI agent inside Microsoft Teams — architecture, auth, Adaptive Cards, and the gotchas nobody warns you about

02 · About This Site

What Know is for.

Know is Imbila.AI's public knowledge base — independent, fact-checked explainers on AI technologies and frameworks, built for humans and agents alike. Share a page with a colleague instead of a 40-page whitepaper, or copy the agent-friendly version straight into Claude Code, ChatGPT, or any AI assistant as instant reference material.

Every explainer is available as structured markdown and JSON via our open agent API — no Cloudflare blocking, no HTML parsing. These are reference documents, not marketing. Accurate, practical, and honest about trade-offs.

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