01
Capture the work
Import conversations, documents, repository notes, and mail into the workspace where they belong.
Private beta · Self-hosted
Your projects already have a memory.
Make it usable.
ReasonTrail turns scattered AI conversations, notes, code, and decisions into connected project context you can inspect, question, and trust.
Your database Your model keys Human approval
Customer portal launch
9 sources · updated just nowIncoming context
3 newBring the work together without reorganizing it first.
Launch planningChatGPT · 42 messages
IndexedProduct briefMarkdown · updated today
Indexedreasontrail/webRepository · 7 documents
IndexedONE CONTINUOUS TRAIL
From scattered context
to a defensible next step.
02
Recover the connections
ReasonTrail links evidence to projects, decisions, blockers, and next actions so context stops disappearing.
03
Review what changes
AI can propose structure and action. You decide what becomes part of the durable project record.
BUILT FOR REAL PROJECT WORK
AI is useful.
Context is the system.
ReasonTrail is the layer between where work happens and the models you use. It preserves evidence, ownership, and review.
01
Ask with project context
Discover the relevant workspace and evidence before a model produces an answer.
02
Follow the reasoning trail
Move from a decision back to the source conversations and assumptions behind it.
03
Keep the memory yours
Run against your PostgreSQL database, use your chosen model provider, and export in JSON or Markdown.
PRIVATE BETA
Stop rebuilding context
every time you start.
Bring continuity to long-running, AI-assisted work without giving up control of the record.
Request private beta