For teams of 5 to 200+ using AI

Your team's AI contextis becoming its mostvaluable asset

MCP now lets any model read from one shared source, and the teams moving early are building a company brain their whole stack draws from. Gitl is that source, governed and versioned.

MCP passed 97 million monthly downloads in early 2026 and is now run in production by close to half of software companies.

No price games. No lock-in. Contact within a day.

Price listv12

-Standard plan is $79 a month

+Standard plan is $99 a month

One change, committed once, reaching every model your team uses

Your teams build the truth once

Prompts, docs, tone, pricing, decisions. Saved, versioned and shared in one library.

Swap the model any time

GPT, Claude, Gemini, whatever ships next year. Models come and go. The truth stays with your company.

Everything compounds

Each improvement lands in the library, so the next person and the next model start further ahead.

The base layer for AI in your company

One governed source under every model, agent and person you ever run.

The shift is real

MCP made one shared source possible

The Model Context Protocol passed 97 million monthly downloads in early 2026, is run in production by close to half of software companies, and moved to the Linux Foundation in late 2025. The skill has shifted from prompt engineering to context engineering.

Most organisations still handle context ad hoc, with no shared source. The sharp teams are consolidating theirs into one governed library now, so they can switch models without losing their setup. The longer it stays scattered, the more there is to untangle later.

The on-ramp

Requesting access is the fastest way in

Request access and join the first teams.

We set up your library and connect your sources.

You get setup help and a say in what we build.

How gitl works

One library. Every version. Everyone current.

Every version, in order

See what changed, and roll back. The current version is the one everyone gets.

One library, every model

Claude, ChatGPT, Gemini and the rest all draw from the same current source, by file or MCP.

Governed access

Approve what goes in, control who sees what. Your data is never used to train models.

Your data stays yours

Your data is never used to train models.

You own your files

Plain formats you can export any time. No lock-in.

Permissioned

People and models see only what you allow.

SOC 2

In progress. We will tell you exactly where it stands.