Use cases

Every client's context, in every workflow

Right now you keep a folder of .md files and a separate LLM project per client. You prep the context, upload it, and start working. Then it goes stale - and it never includes what was actually said on the last call or in Slack. Unabyss is the upgrade: live, structured context for every client, in every tool.

Connect - free

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Claude is AI and can make mistakes. Please double-check responses.

Portfolio status across every client

Instead of closing one client's project and re-orienting the AI on the next, ask once for status across the whole book - results, actions, and bottlenecks for every engagement, pulled from live context.

The pain

How agencies do this today (and why it breaks)

Every client is a context switch

Close Client A, open Client B, and re-orient the AI on a different engagement - scope, history, what was agreed - every single time.

Your files go stale the moment you write them

A .md context file is a snapshot. It never heard today's call or the feedback in Slack, so your AI works from a brief that's already behind.

Your tools don't talk to each other

The file in one project can't help the next, and ChatGPT and Claude each know only what you pasted. So you maintain a dozen of them by hand.

Moment to moment

What changes, moment to moment

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Claude is AI and can make mistakes. Please double-check responses.

Weekly report without chasing every update

You used to stitch pipeline, projects, financials, and HR from scattered docs and stale .md files. Ask once and Unabyss pulls this week's brief from what actually happened - calls, Slack, CRM, and billing.

ChatGPT Bartood.ai placement review

Ask anything

Past client context when you need it again

A client from last quarter used to mean digging through old SOWs and CRM notes. Ask for Bartood.ai and Unabyss surfaces terms, renewal status, and churn or upsell signals from what actually happened since - not a folder you forgot to update.

A better version of your .md files

Keep the per-client context your .md files give you - just stop maintaining it by hand. Unabyss stays current automatically, includes the live relationship, and follows you into every AI tool.

Connect your first client

How you work

Built for how agencies actually work

Connect once per client - every AI tool pulls that client's live context on demand.
Works across the tools you already use: Claude, ChatGPT, and more - plus Make, n8n, and Zapier.
Includes the relationship - calls, Slack, email, feedback - not just the brief you wrote.
Stays current automatically - no per-client files to update.
Compounds over time - every engagement makes the next one start richer.
Keeps every client cleanly separated, with per-client permissions you control.
Export any client's context as Markdown anytime. No lock-in.

Trust

Your context. Your rules.

You own it.

Unabyss is an independent context layer - not memory trapped inside one vendor. Plug in any agent, connect any source, and take your context anywhere.

Granular permissions.

Per-client, per-file - share what's relevant, withhold the rest.

Never sold.

Never used to train models. Your context stays yours.

Compare

Comparing something else?

Weighing Unabyss against another way of giving AI context?

Unabyss vs. built-in AI memory

Built-in memory is useful, but it's trapped in one tool - what ChatGPT learns stays in ChatGPT, and Claude's memory can't help Cursor. Unabyss is a context layer you own, served to every AI tool over MCP.

Read the full comparison

Unabyss vs. context files

Unabyss vs. building your own context system

AI memory vs. AI context

Live context for every client

Connect a client and every AI starts already knowing the engagement.

Under a minute to set up Connect - free