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Contextely

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Agent memory, explained honestly

Guides on permission-aware retrieval, reviews of the tools in this space, and news from building a condensed context layer in the open.

A small engineering team gathered around a laptop reviewing an AI agent's workflow, illustrating context engineering for AI agents
Academy8 min read

Context Engineering for AI Agents: A Practical Playbook

Context engineering for AI agents explained: compaction, sub-agents, and memory design that stop long-running agents from losing the plot.

A small team gathered around a laptop discussing enterprise search software options
Academy7 min read

How to Choose Enterprise Search Software in 2026

A practical checklist for picking enterprise search software in 2026: entitlement, freshness, self-hosting and the questions that actually matter.

An abstract network of glowing connections representing how ai enterprise search retrieves and links company data
Academy6 min read

AI Enterprise Search Explained: RAG and Permissions

How AI enterprise search actually works: retrieval, synthesis, and why permissions have to be checked before an answer is written, not after.

A padlock icon overlaid on circuit-like digital patterns, representing permission aware rag and access control in retrieval systems
Academy7 min read

Permission Aware RAG: A Practical Guide

What permission aware rag actually means, how retrieval-time entitlement differs from redaction, and how to build or buy it properly.

A rack of fibre optic server cables, representing the self hosted infrastructure behind self hosted ai memory
Academy8 min read

How to Set Up Self Hosted AI Memory, Step by Step

A practical, step-by-step guide to self hosted ai memory: Docker, your database, an LLM key, your first source, and entitlement scopes.

A team gathered around an office whiteboard covered in planning notes, illustrating context engineering as a deliberate design discipline
Academy7 min read

Context Engineering 101: Why Stuffing Prompts Fails

Context engineering explained plainly: why more text in a prompt makes AI answers worse, and what to do about it instead.

Two warehouse staff checking freight, illustrating the scattered systems a company knowledge base ai has to bring together
Academy6 min read

Company Knowledge Base AI: A Real-World Case Study

An illustrative case study of a 90-person logistics company moving from scattered systems to a company knowledge base ai an assistant can trust.