Introduction

What SeamTrail does, in one minute.

SeamTrail keeps a short memory for each feature your team builds.

It builds that memory from the tools you already use, like Jira, Confluence, Slack and GitHub. Every line links back to where it came from.

When a spec section or a decision changes, SeamTrail shows which tickets and pull requests are now out of date. We call this drift.

The people who own that work see it, in SeamTrail and in their AI assistant.

AI coding assistants, like Claude Code, Cursor, ChatGPT and Codex, read and write the same memory over MCP.

How it works

  1. Connect your tools. An Admin connects Jira, Slack, GitHub and your other tools once.
  2. Create a feature and link its work. Link the spec, the tickets, the chat channel and the code.
  3. SeamTrail keeps the memory. Decisions, blockers, risks and status changes become short lines. Each line links to its source.
  4. Changes are checked. When a spec section or a decision changes, SeamTrail flags the tickets and pull requests built on it.
  5. Your assistants use the same memory. They read it before they work. They write back what they learn.

Words you will see

WordWhat it means
FeatureA piece of product work, like "UPI at Checkout". It has its own people, links and memory.
MemoryShort lines about a feature: decisions, facts, blockers, risks, questions and status. Each one links to its source.
DriftWork that a change made out of date. For example, a ticket built on a spec section that was just edited.
MCPModel Context Protocol. The standard way AI assistants connect to other tools.
OrgYour team's space in SeamTrail. It has its own tools, people and data.

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