Your context headquarter.

Self-updating · Available via MCP to agents and LLMs · Segmented

Works with

OpenClaw

Claude

Codex

Cursor

Gemini

Perplexity

OpenCode

VS Code

ChatGPT

Hermes

GitHub

Notion

Linear

Obsidian

Slack

X / Twitter

Gmail

Google Drive

Google Calendar

OneNote

Fathom

Fireflies

tl;dv

Granola

OpenClaw

Claude

Codex

Cursor

Gemini

Perplexity

OpenCode

VS Code

ChatGPT

Hermes

GitHub

Notion

Linear

Obsidian

Slack

X / Twitter

Gmail

Google Drive

Google Calendar

OneNote

Fathom

Fireflies

tl;dv

Granola

400,000+ items synced

Try now

Backed by

Problem

Your OpenClaw doesn't talk to Cursor and doesn't know what happens in GitHub

No single source of truth.

team-standup.md 5d ago

product-pricing.md 2w ago

linear-roadmap.md 5w ago

investor-followup.md 3mo

Your context is outdated within a week.

meeting.md

log.md

todo.md

roadmap-q3.md

investor-update.md

notes.md

spec.md

feedback.md

draft.md

v3.md

design-review.md

retro.md

doc.md

scratch.md

You flood under tons of .md files.

How it works

A few clicks from AI finally doing its job right.

Notion

Connect Connected

Slack

Connect Connected

Gmail

Connect Connected

01

Connect sources once.

From hundreds of integrations, extract data, segment it and prepare for retrieval.

Need a token for an MCP host?

Just generate one!

Token created

Copy it now — it won't be shown again.

una_live_8f2b3c…d91a

02

Plug the agent.

Plug Claude Code, OpenClaw, Perplexity via MCP and make sure it has always up-to-date context.

Saved

03

Choose access level.

On granular item-level or topical / confidence level.

And forget. From now on, your context is always up-to-date in every agent, LLM and app you use.

Integrations

Integrates with all apps that you use daily.

OpenClaw

Claude

Codex

Cursor

Gemini

OpenCode

VS Code

ChatGPT

Hermes

GitHub

Notion

Linear

Obsidian

Slack

X / Twitter

Gmail

Google Drive

Google Calendar

Fathom

Fireflies

tl;dv

Granola

and more

See all integrations

Engine

State of art context technology

Raw signal in at the top. Three layers of context engineering segment, compress and gate it on the way down. Clean, scoped context out at the bottom.

Context segmentation

Every piece of incoming context is automatically tagged across topic, confidence, sensitivity, source app, and personal versus professional axes. Retrieval can then target any slice — only the bucket relevant to the current question is surfaced, not your whole life history.

Retrieval efficiency

Standard RAG dumps every loosely-matched chunk into the prompt. Unabyss scores and extracts only the lines that actually answer the question — the same response with up to 10× fewer tokens. Cheaper, faster, and far less context-rot in the model.

Last week's emails

Investor summary · Q3

Brand guidelines · v4

Exclude company confidential Exclude confidential

Permission layer

Four toggleable scopes the assistant respects on every single retrieval: no restriction, exclude private information, exclude company confidential, or exclude an entire source app. Filters apply at retrieval time so blocked context never reaches the model — not even partially.

MCP

Use your context via MCP everywhere

One install command. Instant up-to-date context inside every agent.

unabyss · install ↵

$ claude mcp add --transport http unabyss https://mcp.unabyss.com/

Built for

Built for everyone

Builder / vibe coder

Cursor

Context: in sync

Claude Code

Context: in sync

Codex

Context: in sync

GitHub

Context: in sync

Every coding agent picks up where the last one left off.

Founder

Notion

Slack

Drive

Draft Investor Update · Week 38

revenueactive usersrunway

Every AI you touch sounds like the company, not like ChatGPT.

Angel investor

AI startup · Series A Promising

Devtools seed deck Skip

YC W25 founder intro Promising

2 follow-ups · saved to shortlist

Triage cold inbound and remember every founder you've ever met.

Marketer

LinkedIn · Q3

Best

Email · Q3

48%

Webinar

28%

Generate copy that sounds on-brand from the first draft.

GTM engineer

Acme call · 47m transcript

#deals → Acme Draft

Tailored offer based on call notes — pricing matches their stack size.

Plug your context into every outbound and ops workflow.

Pricing

Start free. Then pick your plan.

Every plan starts with a 7-day free trial. Scale up as you connect more agents and accounts.

Pro

For individuals plugging AI into their daily work.

$13 /mo $15

billed annually

Start 7-day free trial

No credit card required

Up to 3 connected agents via MCP

Up to 20 connected accounts

Premium usage tier

No additional costs

Free 7-day trial

On the Claude Max plan? This is the pick for you.

Max

For power users who live in AI all day.

$79 /mo $89

billed annually

Start 7-day free trial

No credit card required

Unlimited agents

Unlimited connected accounts

Unlimited usage

Priority support

Early access to new features

No additional costs

Free 7-day trial

Team

For teams that share one context layer.

Custom

Contact us to get pricing

Book a quick call - no commitment

Everything in Max, for your whole team:

Unlimited agents

Unlimited connected accounts

Unlimited usage

Priority support

Early access to new features

Works with

OpenClaw

Claude

Codex

Cursor

Gemini

Perplexity

OpenCode

VS Code

ChatGPT

Hermes

GitHub

Notion

Linear

Obsidian

Slack

X / Twitter

Gmail

Google Drive

Google Calendar

OneNote

Fathom

Fireflies

tl;dv

Granola

OpenClaw

Claude

Codex

Cursor

Gemini

Perplexity

OpenCode

VS Code

ChatGPT

Hermes

GitHub

Notion

Linear

Obsidian

Slack

X / Twitter

Gmail

Google Drive

Google Calendar

OneNote

Fathom

Fireflies

tl;dv

Granola

Connect in seconds

Blog

From the Unabyss Vault

Guides on personal context for AI - what it is, how to build it, and why it matters.

Read article

The GTM Brain Is Half-Built: Why Your AI Knows the Account but Not the Rep

Most GTM brains unify account and pipeline data into one source of truth — and then every AI session still starts blind to who the rep is, how they sell, and what changed on the deal yesterday.

Philip Kubinski

8 July 2026 · 6 min read

Read article

How to Take Care of Your AI Context (So It Stays Accurate Over Time)

Most people set up their AI context once. Write a short bio, list a few preferences, paste it into a custom instructions box, and move on. Six months later...

Philip Kubinski

7 July 2026 · 6 min read

Read article

Why It's Worth Building (and Keeping) Your Personal Context for AI

Building personal context sounds like one more setup chore — another profile to fill out, another thing to maintain. So most people skip it, paste a quick...

Mateusz Papierz

6 July 2026 · 6 min read

View all articles