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Threadbaire

Keep the Thread. AI Memory and context, together.

Your project remembers what matters: decisions, sources, and names. Pick up where you left off, compare models on the same setup, and see receipts for every answer. Works with any model. Runs in your account; nothing is kept.

Receipts show who · why · source · date (plus model/version) so you can replay the same setup on any model.

🧭 Before a handoff: get the timeline. 🔀 During a pivot: see the decision & sources. 🔁 Swap models: compare on the same setup.

One trusted thread across tools and models

The problem isn’t prompts, it’s losing the thread. We keep a single, portable source of truth with receipts.

Core that follows you

Small rules and names you keep with every run; portable across models and tools.

Receipts by default

Every change shows who/what/when/which model/source so answers are auditable.

Model-swap safe

Rebuild the same setup and compare outputs fairly as prices or policies shift.

Pick up the thread

Open a month-old topic in seconds; see what changed and where you left off.

Answer “why?” fast

Decisions and sources are one click away with timestamps and roles.

Works with any model

GPT, Claude, or whatever’s next, the thread stays the same.

How the Thread works (memory + context, together)

It’s one object. The Core travels with every run. The Working Set attaches when the job needs it. The Receipts timeline ties it together so you can replay the same setup on any model.

Core (always-on)

  • A tiny summary of the project’s nature and goals.
  • Standing rules (e.g., UK spelling, cite sources)
  • Names, glossary, invariants

Working Set (as-needed)

  • Design/API notes, fresh research, retrieved docs
  • Only what’s relevant to the current task
  • Droppable without losing the Core

Receipts timeline

  • Each change: who · why · source · date
  • Links back to the setup that produced it
  • Promote important changes into the Core

Already using a proxy or context extender? We sit on top and add receipts.

Same Setup (fair comparison) · Receipts (definition)

Related: How RAG fits the Thread

Say hello

Working on a project and want it to remember the right things? Drop a line.

Prefer email? info@threadbaire.com. We’ll reply personally.

Quick answers

What is the Thread?

A single object you carry between runs: a Core you always keep, a Working Set you add when needed, and a Receipts timeline so results are provable and comparable across models.

Who is it for?

Solo builders and small teams who want their projects to remember the right things without switching tools or handing over data.

Do I need integrations?

No. It works with what you already use. Optional helpers are additive, not required.

Does it work with my OpenAI-compatible proxy/context extender?

Yes. We run on top and add receipts and a clear history.

How do I compare models fairly?

Replay the same setup across models so identical inputs yield comparable outputs. See same setup.

How can I prove where an AI answer came from?

Open the receipt: model & time, inputs, and linked sources. Re-run the same setup anywhere.

How does RAG fit the Thread?

RAG pulls fresh facts into your Working Set. The Core and Receipts keep what should last. Use both.

Thread (definition) · Receipts