Giga ContextTrack memory

Memory

How a Track keeps its decisions, commitments and know-how, so the next person picks up where things left off.

Memory keeps continuity around long-running work.

Every Track has its own memory: the decisions made, who committed to what, the ideas on the table, open questions, preferences, facts and procedures for that piece of work. When you or Giga start work in the Track, Giga reads its memory first, so nobody has to re-explain where things stand.

For the full picture of how memory works across Giga, see Giga Memory.

How a Track's context is structured

LayerPurpose
Context NotesDurable background and standing instructions
MemoryDecisions, commitments, ideas, requests, preferences, facts and procedures, kept current
EvidenceThe append-only record behind each memory: what was said, by whom, when, and where
FilesAuthored work product such as reports, drafts, code and data
Memory is structured on purpose. Giga keeps these layers separate so a file isn't mistaken for a decision, a temporary update isn't treated like a standing instruction, and a long transcript isn't the only source of context.

Memory stays current

Each memory is one clear statement with a type, such as a decision or a commitment. As new information arrives, Giga updates the Track's memory rather than piling up notes:

  • a new decision replaces the old one, and the old one is kept as history
  • a commitment is closed when someone says it's done
  • the same point heard again adds evidence instead of a duplicate

So "where are we on this?" has a current answer: the Track's open commitments, latest decisions and open questions.

Evidence

Behind every memory is its evidence: append-only records of what was actually said, with a quote, who said it, when, and where it came from (a chat, a saved passage, pasted notes or an imported meeting). Evidence is never rewritten, so you can always see how the Track's memory got to where it is.

How memory gets into a Track

  • From chats in the Track. When you work with Giga inside a Track, lasting points from the conversation are saved to that Track.
  • When you ask. In ChatGPT, Claude or Slack, say "save this" and choose the Track.
  • By filing. Anything saved without a Track waits, private to you, in Brain → To file until you file it to a Track.
  • From notes and meetings. In Brain → Add to memory, paste notes or import a meeting link and choose the Track.

Why this matters

A useful memory helps Giga answer:

  • What has already been decided?
  • What changed since we last worked on this?
  • Who is doing what, and by when?
  • What's still open?
  • What has already been tried?

Memory vs Context Notes

Context Notes and Memory work together but do different jobs.

Use a Context Note when…Use Memory when…
The information should stay true across future workIt's a decision, commitment, change or learned fact
It's a standing instruction or constraintIt came up during the work
It explains what the Track is aboutIt explains how the Track has evolved
You want to curate the background deliberatelyYou want continuity from the work itself

A useful rule of thumb:

Context Notes explain the work. Memory explains what happened to the work.

Memory vs files

Files are authored work product. Memory is structured knowledge about the work. A Track can have rich memory even when its file folder is empty, and a folder full of files doesn't tell Giga which decision was final, what changed recently, or what still needs attention.

Memory and permissions

A Track's memory is only available to the people on that Track, in Giga Web, Slack, ChatGPT and Claude.

Giga never picks a Track for you. Saving to a Track shares it with everyone on that Track, so Giga asks you to choose, suggests the most likely Track, or keeps the memory private until you file it.

A simple example

Imagine a Track for Website redesign.