Project Memory, LEVER AI Capabilities

What it does

LEVER maintains structured per-project context files, Company OS documents, curated memory files, and daily logs, across every session. Nothing from a previous conversation gets lost when a new session starts.

Every decision, open item, and key fact from prior work is available instantly in future conversations, without anyone re-explaining context that was already established.

How it works

Each project or client gets a dedicated set of context files: a Company OS document, a curated memory file, and daily logs.
As work happens, LEVER writes decisions, outcomes, and open items to these files rather than relying on conversation history alone.
When a new session starts, LEVER reads the relevant context files first, before doing any new work.
Structured handoff notes ensure continuity even across different sessions or different team members picking up the same project.
Files are kept current and pruned of outdated information during regular maintenance passes.

Use cases

Multi-week client engagements

Every session picks up exactly where the last one left off, with no re-briefing needed.

Team handoffs

A different person can pick up a project mid-stream with full context, not a cold start.

Long-running projects

Decisions made months ago are still available and correctly referenced in current work.

Who it's for

Agencies managing multiple concurrent client projects over long time horizons.
Teams where different people pick up the same project at different times.
Anyone tired of re-explaining context every time a new conversation or session starts.

How to use it

LEVER lives wherever your team works. Use it in any of these channels, same intelligence, same results.

Web Chat

Log into portal.gitlever.ai and type your request directly.

Example What were the open items from my last session on the WCC project?

Slack

@mention LEVER in any channel your team is in. No apps to install beyond the initial workspace setup.

Example @LEVER what did we decide about the onboarding flow last week?

Telegram

Message the LEVER bot directly or add it to a group. Works in DMs and group chats.

Example Remind me what the next steps were for the TDC project

Microsoft Teams

Add LEVER to your Teams workspace. Use it in any channel or in a direct message.

Example @LEVER pull up the context from where we left off on [project name]

Frequently asked questions

Does this mean LEVER remembers everything forever?

It maintains structured, curated memory files rather than raw infinite history, decisions and key facts are preserved, but files are kept current rather than growing unbounded.

What happens if two people work on the same project?

Both work from the same shared context files, so handoffs stay consistent regardless of who's picking up the work.

Is this per-client or global?

Each project or client gets its own dedicated set of context files, kept separate from other projects.

How current is the memory?

Files are updated as work happens and go through regular maintenance passes to remove outdated information.

Can I read these memory files myself?

Yes, they're structured, readable files rather than an opaque internal state.

Project Memory