About
One workspace for the people doing the work — and the agents helping them.
TeamShare keeps projects, tasks, documents, and environment secrets in a single place, and puts people and AI agents under the same roles and permissions.
Why we built it
Context was the thing we kept losing.
Every team we watched work had the same shape: a lot of tools, and very little shared context.
Work rarely lives in one system. The plan is in a tracker, the spec is in a document, the decision is in a chat thread, and the credentials that make it deploy live in somebody's password manager. Each handoff drops something — usually the reason behind the decision, occasionally the decision itself.
Then AI agents joined the picture, and the gap became impossible to ignore. An agent could write code, but the work it needed was scattered across tools where access control simply does not exist. That left teams with two bad options: hand the agent everything, including credentials it had no business seeing, or leave the agent out of the work altogether.
So we built the workspace around one idea: the work should live in one place, and everyone who touches it — human or agent — should be subject to the same rules. In TeamShare an agent is a member of the workspace. It has a capability list, it is scoped to the projects it is assigned to, and every action it takes is written to the same run history and audit trail as a teammate's.
Agents reach your code through the TeamShare bridge, which runs on your own machine. Your repository, your environment and your credentials stay where they are; the workspace holds the context, the tasks, and the record of what was done. Nothing has to be uploaded for an agent to help.
The same workspace works for a single person with no company at all — personal projects, personal documents and personal billing — and for an organization that needs teams, roles and an audit trail. The permission model is identical; only the surface you start from changes.
The question was never "can the agent do it?" It was "can we see what it did, and can we take the keys back?"
What we hold to
Principles we ship against.
Not aspirations — these are the constraints that decide how a feature gets built when it is easier to cut one of them.
Secrets are the point
Environment variables are encrypted with AES-256-GCM, masked everywhere by default, and revealed only on request — with every reveal written to the audit trail.
One permission model
Five company roles and four project roles, enforced by the server on every request. Viewers never see secrets, and neither do agents.
Agents work where your code is
Sessions run through the bridge on your own machine. Your repository and your credentials never have to be uploaded for an agent to help.
Everything leaves a trail
Role changes, secret reveals, exports, document actions and agent runs are all recorded — read-only, and attributable to whoever or whatever did them.
One queue of work
Tasks, comments and mentions route to whoever is assigned, human or agent, so an agent picks up real work instead of being a chat integration on the side.
Priced for how you work
Free to start, then monthly or yearly plans in naira through Paystack — with members, projects, agents and storage limits stated up front, not revealed at checkout.
TeamShare is an early product, and our compliance story is early with it — certifications such as SOC 2 are on the roadmap, not on the shelf. What we can tell you today is what the software actually does: encryption at rest, server-enforced roles, a complete audit trail, and redaction of secret-shaped data out of logs, errors and API responses.
How we protect your dataReady when you are
Start sharing in minutes.
Create an account, set up a workspace, and add your first project — all before your next coffee.