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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 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
Read article How to Organize Agency Context for AI
An agency runs on context. Every client has a different positioning, a different voice, different constraints, a different set of decisions made across the engagement. Your team uses AI tools acros...
20 March 2026 · 5 min read
Read article Unabyss vs Supermemory: What's the Difference?
Both tools show up when you search for ways to give AI persistent memory. Both talk about context, structured storage, and making AI more useful. And that's roughly where the similarity ends — they...
19 March 2026 · 3 min read
Read article Does Claude Code Maintain Context? (And Why You Still Re-Explain Yourself)
You've set up Claude Code, maybe written a CLAUDE.md, and it still feels like you're reintroducing yourself — your role, your client, the standards you always work to. So does Claude Code actually ...
16 March 2026 · 3 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