Know
Imbila.AI

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

4
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.
Mar 2026 Read
🔗
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.
Mar 2026 Read
🦙
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.
Mar 2026 Read
🟠
Claude Code Skills Explainer
Claude Code Skills Explained
Turn your AI coding agent into a specialist. On demand.
Mar 2026 Read
02 · About This Site

What Know is for.

Know is Imbila.AI's public knowledge base. Each page is a self-contained explainer on an AI technology or framework — independent research you can share with a colleague without them having to read a 40-page whitepaper or sit through a sales pitch.

These are reference documents, not marketing. They aim to be accurate, practical, and honest about trade-offs. New pages are added as interesting technologies come up.

If there's a topic you'd like covered, get in touch ↗