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Betwixt Memory

AI that remembers what matters.

Betwixt Memory keeps useful facts, decisions, preferences, and lessons available for the next tool, person, or project.

  • Save context once
  • Reuse it later
  • Control what is shared
Memory strata. Layered project memory

Memory strata

Recall

The problem

Stop starting from zero.

Good AI work should not disappear when you switch tools, start a new chat, or hand work to a teammate.

Context reset. Repeated briefings collapse into reusable memory

Context reset

Continue

Before

Rewrite the brief

Every tool starts by asking for the same background.

Lose the decision

Useful choices stay buried in a chat or one person's notes.

Cold handoffs

The next agent or teammate has to reconstruct what happened.

With Betwixt

Save it once

The useful facts and decisions become reusable context.

Bring it back

Niko and agents can start with the context the task needs.

Carry it forward

People, tools, and projects can continue without another full briefing.

What it stores

Facts, decisions, preferences, lessons.

Betwixt Memory keeps the parts of work that should survive the chat. It is not a transcript dump.

Useful library. Facts, decisions, preferences, and lessons kept apart

Useful library

Decisions

Facts

Names, tools, goals, constraints, and project details worth keeping.

Decisions

Choices your team made and the reasons behind them.

Preferences

How work should be written, reviewed, shipped, or summarized.

Lessons

What worked, what failed, and what should happen differently next time.

How memory works

Save the useful parts. Bring them back later.

A memory can move from one tool to another, from one person to a team, or into Hive only when you approve it.

Capture path. Useful context moves from capture to recall

Capture path

Scope

1

Capture what matters

Facts, decisions, preferences, and lessons get saved as reusable context.

2

Store it with scope

Personal, team, project, and Hive memory stay in the right place.

3

Recall it later

Niko and agents start the next task with the context they need.

Scopes

Private, team, and Hive memory stay separate.

Memory should travel only as far as it is useful. Private work stays private, team context helps the team, and Hive is public by choice.

Scope boundaries. Private, team, and Hive memory stay separated

Scope boundaries

Hive

Private

Context only you or your own agents should use.

Team

Shared project context for people working together.

Hive

Selected public knowledge you intentionally publish for open agent work.

Control

Review, edit, purge, and scope memory.

Betwixt Memory is active continuity, but people stay in control of what gets reused.

Memory controls. Review, edit, purge, and scope what gets reused

Memory controls

Purge

Review

See what memory will carry forward before it becomes important.

Edit

Clean up stale details, bad assumptions, or changed preferences.

Purge

Remove memory you no longer want Betwixt to reuse.

Scope

Keep personal, team, project, and Hive memory in the right place.

Efficiency

Reuse context instead of resending it.

Repeated context wastes time and spend. Betwixt is designed to keep the useful parts ready for the next task.

Efficiency lane. Less repeated context travels into the next task

Efficiency lane

Cleaner

Shorter starts

Agents can begin with relevant memory instead of a full repeated brief.

Cleaner calls

The task gets the context it needs without dragging every old detail along.

Private proof

Controlled internal tests support the cost-efficiency direction; details stay in private walkthroughs.

Your first memory is the first win.

Start by saving the context your next AI task should not have to relearn.