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The Unabyss Vault
Everything we know about personal context for AI - what it is, how it works, how to build it, and why the difference between context and memory matters more than it sounds. Written for people who use AI tools seriously and want to get more out of them.
Read article Connectors vs MCP vs a Context Layer: What's the Difference?
If you've set up AI tools recently, you've run into all three terms — connectors, MCP, context layer — often used as if they're interchangeable. They're not, and the confusion is understandable bec...
6 April 2026 · 5 min read
Read article What Is an AI Second Brain? (And How to Build One)
The 'second brain' idea has been around for years — a system outside your head that holds what you know, so you don't have to remember everything. The AI version is more than a searchable notes app...
3 April 2026 · 4 min read
Read article Does Claude Remember Things About You? (And Why It Doesn't Know Your ChatGPT History)
If you used Claude before 2026, you remember it forgetting everything between conversations. That's no longer true — and a lot of advice online is out of date. Claude does remember things about you...
2 April 2026 · 4 min read
Read article What Information Should You Add to Your AI Context?
Everyone says to 'give the AI more context.' Almost nobody says what context. So people either dump everything — and bury the signal — or add a vague line about their job and wonder why output bare...
31 March 2026 · 3 min read
Read article How to Optimize Context in Claude Code
Claude Code's context window is finite, and how you use it directly affects both cost and quality. A bloated CLAUDE.md, context pollution from large tasks, and re-loaded boilerplate all eat into th...
27 March 2026 · 3 min read
Read article Why Too Many MCP Servers Make Your AI Worse (The MCP Context Tax)
MCP made it easy to connect your AI to everything — GitHub, Slack, Jira, Notion, Gmail, all at once. Then people noticed their agents getting slower, dumber, and more expensive the more they connec...
24 March 2026 · 4 min read
abyss — from Latin abyssus: chaos, the bottomless, the immeasurable. un- — the opposite of. Unabyss — structure, order, clarity.
The universal context layer for AI tools. Your data. Your rules. You decide who sees what. Structured once. Shared on your terms.
Unabyss-0.9.0