Your knowledge. Your way.

M A T S T E R

Make your knowledge maater.

One workspace where your team's knowledge and its AI live together - work specs, meetings, decisions, client history.

AI finally has somewhere real to stand - so no one, and no agent, starts from zero.

Say it like matter. Built in daily use inside a working dev agency.

Maater chat
Draft a plan for the checkout mobile fix work spec
WS
checkout-mobile-fix.md
Work spec - Basecamp #8214
opened
MT
Sprint review - Jun 28
Meeting notes
opened
Here's a plan grounded in the work spec and last sprint review - acceptance criteria, risk notes, and a client-ready update draft.

The problem

You added AI. You got more silos.

01

More AI, more silos

Every tool sprouts its own assistant. None can see across the others, so you patch the knowledge together by hand.

02

Your AI keeps forgetting

Every session starts cold. You re-explain the client, the plan, the history - to teammates, to stakeholders, to every tool.

03

The knowledge is in there somewhere

Buried in email, comments, transcripts, and threads. More time excavating than building.

The fix isn't another AI tool. It's one place your team - and its AI - can finally see.

Not smarter chat. Firmer ground.

See it work

One request. One document. The whole arc.

A trigger becomes a living work doc - what you already know, what context matters, who executes, and how it closed. Same artifact end to end. Shared work, not shared chat.

01 Trigger

A request arrives

Work starts somewhere - a Basecamp todo, comment, or meeting today; any API-backed system via a flow trigger next. Capture what you already know, then shape adjacent context onto the same doc. One inbound request, one document to carry it.

Ingest

Request · via flow trigger

Fix broken checkout on mobile - Basecamp #8214 (or any API)

+ Capture

Comment thread, the ask, constraints - filed before anyone invents a plan

+ Shape

Prior specs, decisions, client notes on the same doc

starts a work spec ↓

Work spec - ready to dispatch

Stakeholder timeline, technical read, client-ready update

04 Execute

Human, agent, or both

Delegate as needed. Any coding agent pulls the spec and the connected knowledge over MCP. The Cursor / VS Code extension is optional: docs on disk, two-way sync. Hit a client approval, come back weeks later - nothing's lost.

Coding agent · MCP
Implement the checkout mobile fix
WS
get_work_spec
checkout-mobile-fix.md
pulled
◉
search
client-stack.md, qa-checklist.md
found
Building against the spec - acceptance criteria and last sprint's QA notes already in context.

05 Complete

Done isn't dead

Mark done and write execution notes on that same document. Status, decisions, and outcome stay findable. The next similar request starts loaded - captured and searchable from the moment it arrives.

checkout-mobile-fix.md

Work spec · done

status: done · review: passed · PR #214 merged

History captured

3 decisions logged, sprint QA notes, client stack constraints

decisions related: cart-persistence.md origin: Basecamp #8214

reused later ↓

A new task finds it

"Similar checkout bug" - the agent surfaces this spec first

A real moment

A developer opened a new AI chat on a large Speedy rebuild. The agent recommended a cache-clear strategy already proven on a smaller Speedy site the team had shipped - because the work spec and meeting notes linked that prior case. He thought the model remembered his last project. It did not. The shared knowledge did.

The model is a commodity. The shared knowledge is yours.

Nothing you make lands outside the graph. Google Docs flow in and push back out. Zoom calls file themselves - transcript, summary, and action items attaching right to the work spec.

Living system

Every request starts loaded.

Every result loads the next one. Soul - identity, values, and voice - cascades from you, your team, and each project. The knowledge graph is indexed by meaning the moment each document lands, so anything the org knows is one search away.

You ask on any surface. Maater loads soul, work spec, decisions, and client history into the model. The answer files back, so tomorrow's request starts smarter.
Soul

Agents inherit how your team works

Identity, values, and limits travel with the workspace - so every session starts with context, not a blank slate.

Structured docs

Specs, playbooks, living docs

Not just notes. Work has shape - origin, status, and enough structure for a colleague or an agent to pick up cold.

Dashboards

Ask AI to assemble a view

Compose a view over the work you already have - without building another spreadsheet that goes stale.

Flows

Automations on your knowledge

Steps run against your documents, soul, and agents - not a generic pipe between tools that do not know you.

Surfaces

Same knowledge. Pick your surface.

Surfaces are where you reach your knowledge - the same graph, wherever you work. Read and edit on the web, capture on your phone, or let your coding agent work with it in place over MCP. Open it anywhere - it's the same brain underneath.

Webapp
Team workspace + chat
Mobile
Quick capture, on the go
MCP
Any AI client · 30+ tools
VSIX Cursor / VS Code
Docs on disk, two-way sync
maater mcp Logout
33 tools · 1 prompt · 1 resource enabled

Point any MCP client - Cursor, Claude Desktop, Claude Code - at Maater, and your whole knowledge graph is one toggle away.

Extensions

Maater is the spine. Extensions are the limbs.

Knowledge with gravity. Tools that orbit it. Surfaces are how you reach in; extensions are what Maater reaches out to - the tools where work already happens, plus your own systems over an API.

Got a system with an API? Talk to us.

Maater
Basecamp Google Zoom Git Slack Your API

Your AI

Your knowledge. Your AI. Your infrastructure. On your terms.

Sovereignty is how the product is built - not a premium checkbox. Pick what fits today; grow into more control when you need it. Read the full sovereignty stance.

Ships today

Managed, or bring your own keys

Pick a model in chat with nothing to configure - or plug in your own Anthropic, OpenAI, or similar account. Your compute, your bill, your rate limits.

On the roadmap

Bring your own endpoint, or self-host

Point Maater at your own inference - self-hosted or private cloud - or run the whole stack on your own hardware. Active track; we say path, not shipped.

How it's different

Not another notes app

The comparison that matters isn't feature count - it's what's true by default. Models are interchangeable. Your knowledge is not.

Notion Obsidian Mem.ai Maater
AI indexed at ingest Enterprise only Plugin-dependent Individual Always
Built for teams Yes No Limited Yes
Work has a traceable origin No No No By default
BYOK / choose your AI No N/A local No Yes + path
Self-hostable No Files only No Path
Basecamp-native No No No Yes
Agent access (MCP for IDEs) No Community No Yes

Early access

Make your knowledge maater.

A small group of teams - agencies and dev teams doing client work - is shaping Maater now. Bring your real work; help decide what ships.

On the name: say it like matter. Maat is order and truth, matter is what counts, mater is the source.

No pricing yet. No spam. Just a seat while the product hardens. We reply personally - usually within a couple of days.