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FOR PEOPLE BUILDING, RESEARCHING & CREATING WITH AI

New chat.
Same project.

Keep the decisions, constraints and next steps from your AI conversation in an editable context pack. Review it, then take it into the next chat.

Try a complete example

No card required to explore. The example uses no AI update and creates no saved project.

See what the next chat needs.

An illustrative handoff for a website project:

Goal: Finish a three-page portfolio website.

Decisions: Use a white background, dark text and one accent color. Keep the contact form short.

Constraints: Keep the approved copy. Do not publish before review.

Next step: Check the mobile layout and list any problems before making changes.

Your pack remains editable. Check the facts and remove anything the next AI tool should not receive.

From a long conversation to a useful starting point.

  1. Bring the relevant messages. Paste a conversation, import a text or Markdown file, or start from a manual template.
  2. Review the context. Edit decisions, compare versions and prepare a focused handoff. AI output needs your review.
  3. Continue anywhere. Copy for the next chat or export Markdown or JSON. You choose where to paste it.

Take a useful template into your next chat.

Start with an AI project handoff, session checkpoint or decision log. Add your own details, review the result and download a copy. No account required.

Browse the free template library ↗

Keep the decisions. Skip the repeated briefing.

Pro is for ongoing work across many AI sessions: turn new conversations into updated context, review what changed and carry the next task into another tool. Try the free allowance on a real project, then check whether the next chat needs less explanation.

FREE · TRY THE WORKFLOW

$0

Carry a small set of projects into the next chat.

  • 3 completed AI updates in total
  • Up to 3 saved projects
  • 3 agent tasks · 100 checkpoint writes/month
  • Manual editing, history and export
PRO · KEEP PROJECTS MOVING

$12 / month USD

Update project context throughout the month, across many conversations and agent tasks.

  • 100 AI updates every UTC calendar month
  • Up to 100 saved projects
  • 100 agent tasks · 10,000 checkpoint writes/month
  • Manual editing, history and export
  • Monthly renewal; cancel in Workspace → Billing

Why upgrade: the free AI allowance is a one-time introduction. Pro supplies 100 fresh AI updates each month, room for 100 projects and 100 times the monthly agent checkpoint writes. Use it when your work continues across many sessions or needs frequent saved agent checkpoints.

Each conversation can contain up to 24,000 characters. Free updates do not reset monthly. See the full plan terms and agent allowances.

Know what stays private.

Threadkeep does not connect to your AI accounts or read chats automatically. An AI update sends the conversation and prior context pack you submit to the processing providers described in our privacy notice. Keep passwords, API keys and sensitive records out.

Your workspace recovery key controls access. Save it somewhere private; it cannot be reconstructed if lost. Opening a public example does not share your workspace.

Building an agent instead?

Use durable checkpoints for structured task state. The agent setup guide covers scoped keys, save/resume and separate Free/Pro checkpoint allowances. Agent tools cannot subscribe.

Explore the example Read the getting-started guide

BUILT AROUND YOUR NEXT TASK

Find your starting point.

People building projects across AI conversations

Start the next AI chat with the project intact.

Carry the goal, decisions, constraints and next task into a new conversation using an editable context pack.

See the workflow →Developers using AI on ongoing projects

Keep the technical decisions after the chat ends.

Save a reviewed project checkpoint with architecture choices, constraints and the next development task.

See the workflow →Researchers and writers working with AI

Keep the research question and evidence together.

Prepare an editable context pack that preserves what you know, what remains uncertain and what to investigate next.

See the workflow →Developers building longer-running AI workflows

Give an agent a checkpoint it can resume from.

Keep structured task state with scoped agent access and explicit recovery boundaries.

See the workflow →

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