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

200,000+ 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Your context is outdated within a week.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

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 pay as you go.

Get $5 in free credits when you sign up - enough to connect your apps and see Unabyss in action. When your credits run out, add a card and pay as you go.

$5 free credits on signup
Every feature & integration included
No card required to start

Join the people who've synced 200,000+ items into one context layer.

Try Unabyss

Blog

From the Unabyss Vault

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

Read article

Manifesto

AI without context is like a brilliant person with amnesia asking who are you a thousand times. We are building how to gather context, make AI understand it, and do it fast and seamlessly.

Marcin Uchacz

11 June 2026 · 1 min read

Read article

Personal RAG vs Context Files vs a Context Layer: Which Do You Actually Need?

If you want AI to work from your knowledge and your context, you've probably run into three approaches: build a personal RAG system, write context files, or use a context layer. They get discussed ...

Marcin Uchacz

10 June 2026 · 4 min read

Read article

How to Connect an LLM with MCP

MCP — the Model Context Protocol — has become the standard way to connect AI tools to outside data and services. If you've set up an MCP server before, you've probably connected an LLM to a databas...

Philip Kubinski

7 June 2026 · 3 min read

View all articles

Your context headquarter.

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

A few clicks from AI finally doing its job right.

Connect sources once.

Plug the agent.

Choose access level.

Integrates with all apps that you use daily.

State of art context technology

Context segmentation

Retrieval efficiency

Permission layer

Use your context via MCP everywhere

Built for everyone

Start free. Then pay as you go.

From the Unabyss Vault

Manifesto

Personal RAG vs Context Files vs a Context Layer: Which Do You Actually Need?

How to Connect an LLM with MCP

Start free.
Then pay as you go.