AI memory handoff

Internal memory, project handoff, and file handoff for AI-assisted software work.

Long Term Software Solutions now points AI delivery work toward a UAIX-aligned memory strategy: compact local memory, typed project handoff records, and explicit file disposition so agents can continue work without guessing what is current truth.

Use the UAIX AI Memory Package Wizard Ask Long Term Software about setup

The wizard remains the canonical public setup surface; this page is the Long Term Software Solutions support and routing page for buyers evaluating AI memory in delivery work.

Memory strategy

Three handoff layers, one predictable operating pattern.

The goal is not to let an agent rewrite project truth. The goal is to package enough reviewed context for the next session to restart safely, understand constraints, and know which files are active, proposed, or archived.

1. Internal memory

Use a compact .uai memory suite for current truth: project goal, active constraints, owners, accepted decisions, current risks, next actions, tests, and source boundaries.

  • Short enough for agent startup context.
  • Explicit about what is current versus historical.
  • Updated only after review-worthy project events.

2. Project handoff

Create typed records that a human, Codex session, Claude session, GPT agent, or delivery teammate can read in order before touching a repository or deployment path.

  • Startup packet and receiver brief.
  • System profile, constraints, operations, decisions, and test plan.
  • Evidence pointers and rollback expectations.

3. File handoff

Separate files the agent should use from files that need improvement and files that have already been handled. This prevents stale uploads from steering future work.

  • Content bucket for active source material.
  • Improvement bucket for files needing work.
  • Archive bucket and disposition notes after use.

Wizard routing

Point the first agent at the right UAIX setup path.

Use the base wizard for compact project memory. Use the file handoff fragment when the first agent should inspect dropped files and sort them into active, improvement, and archive paths. Use the LLM Wiki fragment only when a project deliberately chooses a long-memory layer.

Base UAI memory package Wizard with Agent File Handoff Wizard with optional LLM Wiki planning

Long Term Software fit

Where this helps most.

This support lane is designed for legacy modernization, AI-assisted refactoring, architecture assessment, source-governed research, documentation repair, and project restarts where context loss would cause repeated mistakes.

Recommended next step

Start with the UAIX wizard to create the memory package, then bring the package and the system risk to Long Term Software for implementation planning.

Start an AI memory setup conversation